url
stringlengths 61
61
| repository_url
stringclasses 1
value | labels_url
stringlengths 75
75
| comments_url
stringlengths 70
70
| events_url
stringlengths 68
68
| html_url
stringlengths 51
51
| id
int64 1.88B
2.51B
| node_id
stringlengths 18
18
| number
int64 6.22k
7.14k
| title
stringlengths 2
150
| user
dict | labels
listlengths 0
2
| state
stringclasses 2
values | locked
bool 1
class | assignee
dict | assignees
listlengths 0
1
| milestone
dict | comments
int64 0
17
| created_at
timestamp[s] | updated_at
timestamp[s] | closed_at
timestamp[s] | author_association
stringclasses 4
values | active_lock_reason
null | draft
bool 0
classes | pull_request
dict | body
stringlengths 3
19.4k
⌀ | closed_by
dict | reactions
dict | timeline_url
stringlengths 70
70
| performed_via_github_app
null | state_reason
stringclasses 3
values | is_pull_request
bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/6483
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6483/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6483/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6483/events
|
https://github.com/huggingface/datasets/issues/6483
| 2,032,946,981
|
I_kwDODunzps55LE8l
| 6,483
|
Iterable Dataset: rename column clashes with remove column
|
{
"login": "sanchit-gandhi",
"id": 93869735,
"node_id": "U_kgDOBZhWpw",
"avatar_url": "https://avatars.githubusercontent.com/u/93869735?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sanchit-gandhi",
"html_url": "https://github.com/sanchit-gandhi",
"followers_url": "https://api.github.com/users/sanchit-gandhi/followers",
"following_url": "https://api.github.com/users/sanchit-gandhi/following{/other_user}",
"gists_url": "https://api.github.com/users/sanchit-gandhi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/sanchit-gandhi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sanchit-gandhi/subscriptions",
"organizations_url": "https://api.github.com/users/sanchit-gandhi/orgs",
"repos_url": "https://api.github.com/users/sanchit-gandhi/repos",
"events_url": "https://api.github.com/users/sanchit-gandhi/events{/privacy}",
"received_events_url": "https://api.github.com/users/sanchit-gandhi/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 3287858981,
"node_id": "MDU6TGFiZWwzMjg3ODU4OTgx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/streaming",
"name": "streaming",
"color": "fef2c0",
"default": false,
"description": ""
}
] |
closed
| false
| null |
[] | null | 4
| 2023-12-08T16:11:30
| 2023-12-08T16:27:16
| 2023-12-08T16:27:04
|
CONTRIBUTOR
| null | null | null |
### Describe the bug
Suppose I have a two iterable datasets, one with the features:
* `{"audio", "text", "column_a"}`
And the other with the features:
* `{"audio", "sentence", "column_b"}`
I want to combine both datasets using `interleave_datasets`, which requires me to unify the column names. I would typically do this by:
1. Renaming the common columns to the same name (e.g. `"text"` -> `"sentence"`)
2. Removing the unwanted columns (e.g. `"column_a"`, `"column_b"`)
However, the process of renaming and removing columns in an iterable dataset doesn't work, since we need to preserve the original text column, meaning we can't combine the datasets.
### Steps to reproduce the bug
```python
from datasets import load_dataset
# load LS in streaming mode
dataset = load_dataset("librispeech_asr", "clean", split="validation", streaming=True)
# check original features
dataset_features = dataset.features.keys()
print("Original features: ", dataset_features)
# rename "text" -> "sentence"
dataset = dataset.rename_column("text", "sentence")
# remove unwanted columns
COLUMNS_TO_KEEP = {"audio", "sentence"}
dataset = dataset.remove_columns(set(dataset_features - COLUMNS_TO_KEEP))
# stream first sample, should return "audio" and "sentence" columns
print(next(iter(dataset)))
```
Traceback:
```python
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
Cell In[5], line 17
14 COLUMNS_TO_KEEP = {"audio", "sentence"}
15 dataset = dataset.remove_columns(set(dataset_features - COLUMNS_TO_KEEP))
---> 17 print(next(iter(dataset)))
File ~/datasets/src/datasets/iterable_dataset.py:1353, in IterableDataset.__iter__(self)
1350 yield formatter.format_row(pa_table)
1351 return
-> 1353 for key, example in ex_iterable:
1354 if self.features:
1355 # `IterableDataset` automatically fills missing columns with None.
1356 # This is done with `_apply_feature_types_on_example`.
1357 example = _apply_feature_types_on_example(
1358 example, self.features, token_per_repo_id=self._token_per_repo_id
1359 )
File ~/datasets/src/datasets/iterable_dataset.py:652, in MappedExamplesIterable.__iter__(self)
650 yield from ArrowExamplesIterable(self._iter_arrow, {})
651 else:
--> 652 yield from self._iter()
File ~/datasets/src/datasets/iterable_dataset.py:729, in MappedExamplesIterable._iter(self)
727 if self.remove_columns:
728 for c in self.remove_columns:
--> 729 del transformed_example[c]
730 yield key, transformed_example
731 current_idx += 1
KeyError: 'text'
```
=> we see that `datasets` is looking for the column "text", even though we've renamed this to "sentence" and then removed the un-wanted "text" column from our dataset.
### Expected behavior
Should be able to rename and remove columns from iterable dataset.
### Environment info
- `datasets` version: 2.15.1.dev0
- Platform: macOS-13.5.1-arm64-arm-64bit
- Python version: 3.11.6
- `huggingface_hub` version: 0.19.4
- PyArrow version: 14.0.1
- Pandas version: 2.1.2
- `fsspec` version: 2023.9.2
|
{
"login": "sanchit-gandhi",
"id": 93869735,
"node_id": "U_kgDOBZhWpw",
"avatar_url": "https://avatars.githubusercontent.com/u/93869735?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sanchit-gandhi",
"html_url": "https://github.com/sanchit-gandhi",
"followers_url": "https://api.github.com/users/sanchit-gandhi/followers",
"following_url": "https://api.github.com/users/sanchit-gandhi/following{/other_user}",
"gists_url": "https://api.github.com/users/sanchit-gandhi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/sanchit-gandhi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sanchit-gandhi/subscriptions",
"organizations_url": "https://api.github.com/users/sanchit-gandhi/orgs",
"repos_url": "https://api.github.com/users/sanchit-gandhi/repos",
"events_url": "https://api.github.com/users/sanchit-gandhi/events{/privacy}",
"received_events_url": "https://api.github.com/users/sanchit-gandhi/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6483/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6483/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6484
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6484/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6484/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6484/events
|
https://github.com/huggingface/datasets/issues/6484
| 2,033,333,294
|
I_kwDODunzps55MjQu
| 6,484
|
[Feature Request] Dataset versioning
|
{
"login": "kenfus",
"id": 47979198,
"node_id": "MDQ6VXNlcjQ3OTc5MTk4",
"avatar_url": "https://avatars.githubusercontent.com/u/47979198?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kenfus",
"html_url": "https://github.com/kenfus",
"followers_url": "https://api.github.com/users/kenfus/followers",
"following_url": "https://api.github.com/users/kenfus/following{/other_user}",
"gists_url": "https://api.github.com/users/kenfus/gists{/gist_id}",
"starred_url": "https://api.github.com/users/kenfus/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kenfus/subscriptions",
"organizations_url": "https://api.github.com/users/kenfus/orgs",
"repos_url": "https://api.github.com/users/kenfus/repos",
"events_url": "https://api.github.com/users/kenfus/events{/privacy}",
"received_events_url": "https://api.github.com/users/kenfus/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 2
| 2023-12-08T16:01:35
| 2023-12-11T19:13:46
| null |
NONE
| null | null | null |
**Is your feature request related to a problem? Please describe.**
I am working on a project, where I would like to test different preprocessing methods for my ML-data. Thus, I would like to work a lot with revisions and compare them. Currently, I was not able to make it work with the revision keyword because it was not redownloading the data, it was reading in some cached data, until I put `download_mode="force_redownload"`, even though the reversion was different.
Of course, I may have done something wrong or missed a setting somewhere!
**Describe the solution you'd like**
The solution would allow me to easily work with revisions:
- create a new dataset (by combining things, different preprocessing, ..) and give it a new revision (v.1.2.3), maybe like this:
`dataset_audio.push_to_hub('kenfus/xy', revision='v1.0.2')`
- then, get the current revision as follows:
```
dataset = load_dataset(
'kenfus/xy', revision='v1.0.2',
)
```
this downloads the new version and does not load in a different revision and all future map, filter, .. operations are done on this dataset and not loaded from cache produced from a different revision.
- if I rerun the run, the caching should be smart enough in every step to not reuse a mapping operation on a different revision.
**Describe alternatives you've considered**
I created my own caching, putting `download_mode="force_redownload"` and `load_from_cache_file=False,` everywhere.
**Additional context**
Thanks a lot for your great work! Creating NLP datasets and training a model with them is really easy and straightforward with huggingface.
This is the data loading in my script:
```
## CREATE PATHS
prepared_dataset_path = os.path.join(
DATA_FOLDER, str(DATA_VERSION), "prepared_dataset"
)
os.makedirs(os.path.join(DATA_FOLDER, str(DATA_VERSION)), exist_ok=True)
## LOAD DATASET
if os.path.exists(prepared_dataset_path):
print("Loading prepared dataset from disk...")
dataset_prepared = load_from_disk(prepared_dataset_path)
else:
print("Loading dataset from HuggingFace Datasets...")
dataset = load_dataset(
PATH_TO_DATASET, revision=DATA_VERSION, download_mode="force_redownload"
)
print("Preparing dataset...")
dataset_prepared = dataset.map(
prepare_dataset,
remove_columns=["audio", "transcription"],
num_proc=os.cpu_count(),
load_from_cache_file=False,
)
dataset_prepared.save_to_disk(prepared_dataset_path)
del dataset
if CHECK_DATASET:
## CHECK DATASET
dataset_prepared = dataset_prepared.map(
check_dimensions, num_proc=os.cpu_count(), load_from_cache_file=False
)
dataset_filtered = dataset_prepared.filter(
lambda example: not example["incorrect_dimension"],
load_from_cache_file=False,
)
for example in dataset_prepared.filter(
lambda example: example["incorrect_dimension"], load_from_cache_file=False
):
print(example["path"])
print(
f"Number of examples with incorrect dimension: {len(dataset_prepared) - len(dataset_filtered)}"
)
print("Number of examples train: ", len(dataset_filtered["train"]))
print("Number of examples test: ", len(dataset_filtered["test"]))
```
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6484/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6484/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6481
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6481/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6481/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6481/events
|
https://github.com/huggingface/datasets/issues/6481
| 2,032,650,003
|
I_kwDODunzps55J8cT
| 6,481
|
using torchrun, save_to_disk suddenly shows SIGTERM
|
{
"login": "Ariya12138",
"id": 85916625,
"node_id": "MDQ6VXNlcjg1OTE2NjI1",
"avatar_url": "https://avatars.githubusercontent.com/u/85916625?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Ariya12138",
"html_url": "https://github.com/Ariya12138",
"followers_url": "https://api.github.com/users/Ariya12138/followers",
"following_url": "https://api.github.com/users/Ariya12138/following{/other_user}",
"gists_url": "https://api.github.com/users/Ariya12138/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Ariya12138/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Ariya12138/subscriptions",
"organizations_url": "https://api.github.com/users/Ariya12138/orgs",
"repos_url": "https://api.github.com/users/Ariya12138/repos",
"events_url": "https://api.github.com/users/Ariya12138/events{/privacy}",
"received_events_url": "https://api.github.com/users/Ariya12138/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 0
| 2023-12-08T13:22:03
| 2023-12-08T13:22:03
| null |
NONE
| null | null | null |
### Describe the bug
When I run my code using the "torchrun" command, when the code reaches the "save_to_disk" part, suddenly I get the following warning and error messages:
Because the dataset is too large, the "save_to_disk" function splits it into 70 parts for saving. However, an error occurs suddenly when it reaches the 14th shard.
WARNING: torch.distributed.elastic.multiprocessing.api: Sending process 2224968 closing signal SIGTERM
ERROR: torch.distributed.elastic.multiprocessing.api: failed (exitcode: -7). traceback: Signal 7 (SIGBUS) received by PID 2224967.
### Steps to reproduce the bug
ds_shard = ds_shard.map(map_fn, *args, **kwargs)
ds_shard.save_to_disk(ds_shard_filepaths[rank])
Saving the dataset (14/70 shards): 20%|██ | 875350/4376702 [00:19<01:53, 30863.15 examples/s]
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2224968 closing signal SIGTERM
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -7) local_rank: 0 (pid: 2224967) of binary: /home/bingxing2/home/scx6964/.conda/envs/ariya235/bin/python
Traceback (most recent call last):
File "/home/bingxing2/home/scx6964/.conda/envs/ariya235/bin/torchrun", line 8, in <module>
sys.exit(main())
File "/home/bingxing2/home/scx6964/.conda/envs/ariya235/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 346, in wrapper
return f(*args, **kwargs)
File "/home/bingxing2/home/scx6964/.conda/envs/ariya235/lib/python3.10/site-packages/torch/distributed/run.py", line 794, in main
run(args)
File "/home/bingxing2/home/scx6964/.conda/envs/ariya235/lib/python3.10/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/home/bingxing2/home/scx6964/.conda/envs/ariya235/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 134, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/bingxing2/home/scx6964/.conda/envs/ariya235/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
==========================================================
run.py FAILED
----------------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
----------------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2023-12-08_20:09:04
rank : 0 (local_rank: 0)
exitcode : -7 (pid: 2224967)
error_file: <N/A>
traceback : Signal 7 (SIGBUS) received by PID 2224967
### Expected behavior
I hope it can save successfully without any issues, but it seems there is a problem.
### Environment info
`datasets` version: 2.14.6
- Platform: Linux-4.19.90-24.4.v2101.ky10.aarch64-aarch64-with-glibc2.28
- Python version: 3.10.11
- Huggingface_hub version: 0.17.3
- PyArrow version: 14.0.0
- Pandas version: 2.1.2
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6481/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6481/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6478
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6478/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6478/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6478/events
|
https://github.com/huggingface/datasets/issues/6478
| 2,028,071,596
|
I_kwDODunzps544eqs
| 6,478
|
How to load data from lakefs
|
{
"login": "d710055071",
"id": 12895488,
"node_id": "MDQ6VXNlcjEyODk1NDg4",
"avatar_url": "https://avatars.githubusercontent.com/u/12895488?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/d710055071",
"html_url": "https://github.com/d710055071",
"followers_url": "https://api.github.com/users/d710055071/followers",
"following_url": "https://api.github.com/users/d710055071/following{/other_user}",
"gists_url": "https://api.github.com/users/d710055071/gists{/gist_id}",
"starred_url": "https://api.github.com/users/d710055071/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/d710055071/subscriptions",
"organizations_url": "https://api.github.com/users/d710055071/orgs",
"repos_url": "https://api.github.com/users/d710055071/repos",
"events_url": "https://api.github.com/users/d710055071/events{/privacy}",
"received_events_url": "https://api.github.com/users/d710055071/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-12-06T09:04:11
| 2024-07-03T19:13:57
| 2024-07-03T19:13:56
|
CONTRIBUTOR
| null | null | null |
My dataset is stored on the company's lakefs server. How can I write code to load the dataset? It would be great if I could provide code examples or provide some references
|
{
"login": "andimarafioti",
"id": 9143109,
"node_id": "MDQ6VXNlcjkxNDMxMDk=",
"avatar_url": "https://avatars.githubusercontent.com/u/9143109?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/andimarafioti",
"html_url": "https://github.com/andimarafioti",
"followers_url": "https://api.github.com/users/andimarafioti/followers",
"following_url": "https://api.github.com/users/andimarafioti/following{/other_user}",
"gists_url": "https://api.github.com/users/andimarafioti/gists{/gist_id}",
"starred_url": "https://api.github.com/users/andimarafioti/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/andimarafioti/subscriptions",
"organizations_url": "https://api.github.com/users/andimarafioti/orgs",
"repos_url": "https://api.github.com/users/andimarafioti/repos",
"events_url": "https://api.github.com/users/andimarafioti/events{/privacy}",
"received_events_url": "https://api.github.com/users/andimarafioti/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6478/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6478/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6476
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6476/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6476/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6476/events
|
https://github.com/huggingface/datasets/issues/6476
| 2,028,018,596
|
I_kwDODunzps544Ruk
| 6,476
|
CI on windows is broken: PermissionError
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 0
| 2023-12-06T08:32:53
| 2023-12-06T09:17:53
| 2023-12-06T09:17:53
|
MEMBER
| null | null | null |
See: https://github.com/huggingface/datasets/actions/runs/7104781624/job/19340572394
```
FAILED tests/test_load.py::test_loading_from_the_datasets_hub - NotADirectoryError: [WinError 267] The directory name is invalid: 'C:\\Users\\RUNNER~1\\AppData\\Local\\Temp\\tmpfcnps56i\\hf-internal-testing___dataset_with_script\\default\\0.0.0\\c240e2be3370bdbd\\dataset_with_script-train.arrow'
```
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6476/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6476/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6475
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6475/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6475/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6475/events
|
https://github.com/huggingface/datasets/issues/6475
| 2,027,373,734
|
I_kwDODunzps5410Sm
| 6,475
|
laion2B-en failed to load on Windows with PrefetchVirtualMemory failed
|
{
"login": "doctorpangloss",
"id": 2229300,
"node_id": "MDQ6VXNlcjIyMjkzMDA=",
"avatar_url": "https://avatars.githubusercontent.com/u/2229300?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/doctorpangloss",
"html_url": "https://github.com/doctorpangloss",
"followers_url": "https://api.github.com/users/doctorpangloss/followers",
"following_url": "https://api.github.com/users/doctorpangloss/following{/other_user}",
"gists_url": "https://api.github.com/users/doctorpangloss/gists{/gist_id}",
"starred_url": "https://api.github.com/users/doctorpangloss/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/doctorpangloss/subscriptions",
"organizations_url": "https://api.github.com/users/doctorpangloss/orgs",
"repos_url": "https://api.github.com/users/doctorpangloss/repos",
"events_url": "https://api.github.com/users/doctorpangloss/events{/privacy}",
"received_events_url": "https://api.github.com/users/doctorpangloss/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 6
| 2023-12-06T00:07:34
| 2023-12-06T23:26:23
| null |
NONE
| null | null | null |
### Describe the bug
I have downloaded laion2B-en, and I'm receiving the following error trying to load it:
```
Resolving data files: 100%|██████████| 128/128 [00:00<00:00, 1173.79it/s]
Traceback (most recent call last):
File "D:\Art-Workspace\src\artworkspace\tokeneval\compute_frequencies.py", line 31, in <module>
count = compute_frequencies()
^^^^^^^^^^^^^^^^^^^^^
File "D:\Art-Workspace\src\artworkspace\tokeneval\compute_frequencies.py", line 17, in compute_frequencies
laion2b_dataset = load_dataset("laion/laion2B-en", split="train", cache_dir=_CACHE_DIR, keep_in_memory=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\load.py", line 2165, in load_dataset
ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\builder.py", line 1187, in as_dataset
datasets = map_nested(
^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\utils\py_utils.py", line 456, in map_nested
return function(data_struct)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\builder.py", line 1217, in _build_single_dataset
ds = self._as_dataset(
^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\builder.py", line 1291, in _as_dataset
dataset_kwargs = ArrowReader(cache_dir, self.info).read(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\arrow_reader.py", line 244, in read
return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\arrow_reader.py", line 265, in read_files
pa_table = self._read_files(files, in_memory=in_memory)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\arrow_reader.py", line 200, in _read_files
pa_table: Table = self._get_table_from_filename(f_dict, in_memory=in_memory)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\arrow_reader.py", line 336, in _get_table_from_filename
table = ArrowReader.read_table(filename, in_memory=in_memory)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\arrow_reader.py", line 357, in read_table
return table_cls.from_file(filename)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\table.py", line 1059, in from_file
table = _memory_mapped_arrow_table_from_file(filename)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bberman\Documents\Art-Workspace\venv\Lib\site-packages\datasets\table.py", line 66, in _memory_mapped_arrow_table_from_file
pa_table = opened_stream.read_all()
^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow\ipc.pxi", line 757, in pyarrow.lib.RecordBatchReader.read_all
File "pyarrow\error.pxi", line 91, in pyarrow.lib.check_status
OSError: [WinError 8] PrefetchVirtualMemory failed. Detail: [Windows error 8] Not enough memory resources are available to process this command.
```
This error is probably a red herring: https://stackoverflow.com/questions/50263929/numpy-memmap-returns-not-enough-memory-while-there-are-plenty-available In other words, the issue is related to asking for a memory mapping of length N > M the length of the file on Windows. This gracefully succeeds on Linux.
I have 1024 arrow files in my cache instead of 128 like in the repository for it. Probably related. I don't know why `datasets` reorganized/rewrote the dataset in my cache to be 1024 slices instead of the original 128.
### Steps to reproduce the bug
```
# as a huggingface developer, you may already have laion2B-en somewhere
_CACHE_DIR = "."
from datasets import load_dataset
load_dataset("laion/laion2B-en", split="train", cache_dir=_CACHE_DIR, keep_in_memory=False)
```
### Expected behavior
This should correctly load as a memory mapped Arrow dataset.
### Environment info
- `datasets` version: 2.15.0
- Platform: Windows-10-10.0.20348-SP0 (this is windows 2022)
- Python version: 3.11.4
- `huggingface_hub` version: 0.19.4
- PyArrow version: 14.0.1
- Pandas version: 2.1.2
- `fsspec` version: 2023.10.0
|
{
"login": "doctorpangloss",
"id": 2229300,
"node_id": "MDQ6VXNlcjIyMjkzMDA=",
"avatar_url": "https://avatars.githubusercontent.com/u/2229300?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/doctorpangloss",
"html_url": "https://github.com/doctorpangloss",
"followers_url": "https://api.github.com/users/doctorpangloss/followers",
"following_url": "https://api.github.com/users/doctorpangloss/following{/other_user}",
"gists_url": "https://api.github.com/users/doctorpangloss/gists{/gist_id}",
"starred_url": "https://api.github.com/users/doctorpangloss/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/doctorpangloss/subscriptions",
"organizations_url": "https://api.github.com/users/doctorpangloss/orgs",
"repos_url": "https://api.github.com/users/doctorpangloss/repos",
"events_url": "https://api.github.com/users/doctorpangloss/events{/privacy}",
"received_events_url": "https://api.github.com/users/doctorpangloss/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6475/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6475/timeline
| null |
reopened
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6472
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6472/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6472/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6472/events
|
https://github.com/huggingface/datasets/issues/6472
| 2,026,493,439
|
I_kwDODunzps54ydX_
| 6,472
|
CI quality is broken
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
},
{
"id": 4296013012,
"node_id": "LA_kwDODunzps8AAAABAA_01A",
"url": "https://api.github.com/repos/huggingface/datasets/labels/maintenance",
"name": "maintenance",
"color": "d4c5f9",
"default": false,
"description": "Maintenance tasks"
}
] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 0
| 2023-12-05T15:35:34
| 2023-12-06T08:17:34
| 2023-12-05T18:08:43
|
MEMBER
| null | null | null |
See: https://github.com/huggingface/datasets/actions/runs/7100835633/job/19327734359
```
Would reformat: src/datasets/features/image.py
1 file would be reformatted, 253 files left unchanged
```
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6472/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6472/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6470
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6470/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6470/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6470/events
|
https://github.com/huggingface/datasets/issues/6470
| 2,024,724,319
|
I_kwDODunzps54rtdf
| 6,470
|
If an image in a dataset is corrupted, we get unescapable error
|
{
"login": "chigozienri",
"id": 14337872,
"node_id": "MDQ6VXNlcjE0MzM3ODcy",
"avatar_url": "https://avatars.githubusercontent.com/u/14337872?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/chigozienri",
"html_url": "https://github.com/chigozienri",
"followers_url": "https://api.github.com/users/chigozienri/followers",
"following_url": "https://api.github.com/users/chigozienri/following{/other_user}",
"gists_url": "https://api.github.com/users/chigozienri/gists{/gist_id}",
"starred_url": "https://api.github.com/users/chigozienri/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/chigozienri/subscriptions",
"organizations_url": "https://api.github.com/users/chigozienri/orgs",
"repos_url": "https://api.github.com/users/chigozienri/repos",
"events_url": "https://api.github.com/users/chigozienri/events{/privacy}",
"received_events_url": "https://api.github.com/users/chigozienri/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 0
| 2023-12-04T20:58:49
| 2023-12-04T20:58:49
| null |
NONE
| null | null | null |
### Describe the bug
Example discussed in detail here: https://huggingface.co/datasets/sasha/birdsnap/discussions/1
### Steps to reproduce the bug
```
from datasets import load_dataset, VerificationMode
dataset = load_dataset(
'sasha/birdsnap',
split="train",
verification_mode=VerificationMode.ALL_CHECKS,
streaming=True # I recommend using streaming=True when reproducing, as this dataset is large
)
for idx, row in enumerate(dataset):
# Iterating to 9287 took 7 minutes for me
# If you already have the data locally cached and set streaming=False, you see the same error just by with dataset[9287]
pass
# error at 9287 OSError: image file is truncated (45 bytes not processed)
# note that we can't avoid the error using a try/except + continue inside the loop
```
### Expected behavior
Able to escape errors in casting to Image() without killing the whole loop
### Environment info
- `datasets` version: 2.15.0
- Platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.31
- Python version: 3.11.5
- `huggingface_hub` version: 0.19.4
- PyArrow version: 14.0.1
- Pandas version: 2.1.3
- `fsspec` version: 2023.10.0
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6470/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6470/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6467
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6467/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6467/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6467/events
|
https://github.com/huggingface/datasets/issues/6467
| 2,023,174,233
|
I_kwDODunzps54lzBZ
| 6,467
|
New version release request
|
{
"login": "LZHgrla",
"id": 36994684,
"node_id": "MDQ6VXNlcjM2OTk0Njg0",
"avatar_url": "https://avatars.githubusercontent.com/u/36994684?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/LZHgrla",
"html_url": "https://github.com/LZHgrla",
"followers_url": "https://api.github.com/users/LZHgrla/followers",
"following_url": "https://api.github.com/users/LZHgrla/following{/other_user}",
"gists_url": "https://api.github.com/users/LZHgrla/gists{/gist_id}",
"starred_url": "https://api.github.com/users/LZHgrla/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/LZHgrla/subscriptions",
"organizations_url": "https://api.github.com/users/LZHgrla/orgs",
"repos_url": "https://api.github.com/users/LZHgrla/repos",
"events_url": "https://api.github.com/users/LZHgrla/events{/privacy}",
"received_events_url": "https://api.github.com/users/LZHgrla/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
| null |
[] | null | 2
| 2023-12-04T07:08:26
| 2023-12-04T15:42:22
| 2023-12-04T15:42:22
|
CONTRIBUTOR
| null | null | null |
### Feature request
Hi!
I am using `datasets` in library `xtuner` and am highly interested in the features introduced since v2.15.0.
To avoid installation from source in our pypi wheels, we are eagerly waiting for the new release. So, Does your team have a new release plan for v2.15.1 and could you please share it with us?
Thanks very much!
### Motivation
.
### Your contribution
.
|
{
"login": "LZHgrla",
"id": 36994684,
"node_id": "MDQ6VXNlcjM2OTk0Njg0",
"avatar_url": "https://avatars.githubusercontent.com/u/36994684?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/LZHgrla",
"html_url": "https://github.com/LZHgrla",
"followers_url": "https://api.github.com/users/LZHgrla/followers",
"following_url": "https://api.github.com/users/LZHgrla/following{/other_user}",
"gists_url": "https://api.github.com/users/LZHgrla/gists{/gist_id}",
"starred_url": "https://api.github.com/users/LZHgrla/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/LZHgrla/subscriptions",
"organizations_url": "https://api.github.com/users/LZHgrla/orgs",
"repos_url": "https://api.github.com/users/LZHgrla/repos",
"events_url": "https://api.github.com/users/LZHgrla/events{/privacy}",
"received_events_url": "https://api.github.com/users/LZHgrla/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6467/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6467/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6466
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6466/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6466/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6466/events
|
https://github.com/huggingface/datasets/issues/6466
| 2,022,601,176
|
I_kwDODunzps54jnHY
| 6,466
|
Can't align optional features of struct
|
{
"login": "Dref360",
"id": 8976546,
"node_id": "MDQ6VXNlcjg5NzY1NDY=",
"avatar_url": "https://avatars.githubusercontent.com/u/8976546?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Dref360",
"html_url": "https://github.com/Dref360",
"followers_url": "https://api.github.com/users/Dref360/followers",
"following_url": "https://api.github.com/users/Dref360/following{/other_user}",
"gists_url": "https://api.github.com/users/Dref360/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Dref360/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Dref360/subscriptions",
"organizations_url": "https://api.github.com/users/Dref360/orgs",
"repos_url": "https://api.github.com/users/Dref360/repos",
"events_url": "https://api.github.com/users/Dref360/events{/privacy}",
"received_events_url": "https://api.github.com/users/Dref360/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-12-03T15:57:07
| 2024-02-15T15:19:33
| 2024-02-08T14:38:34
|
CONTRIBUTOR
| null | null | null |
### Describe the bug
Hello!
I'm currently experiencing an issue where I can't concatenate datasets if an inner field of a Feature is Optional.
I have a column named `speaker`, and this holds some information about a speaker.
```python
@dataclass
class Speaker:
name: str
email: Optional[str]
```
If I have two datasets, one happens to have `email` always None, then I get `The features can't be aligned because the key email of features`
### Steps to reproduce the bug
You can run the following script:
```python
ds = Dataset.from_dict({'speaker': [{'name': 'Ben', 'email': None}]})
ds2 = Dataset.from_dict({'speaker': [{'name': 'Fred', 'email': 'abc@aol.com'}]})
concatenate_datasets([ds, ds2])
>>>The features can't be aligned because the key speaker of features {'speaker': {'email': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None)}} has unexpected type - {'email': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None)} (expected either {'email': Value(dtype='null', id=None), 'name': Value(dtype='string', id=None)} or Value("null").
```
### Expected behavior
I think this should work; if two top-level columns were in the same situation it would properly cast to `string`.
```python
ds = Dataset.from_dict({'email': [None, None]})
ds2 = Dataset.from_dict({'email': ['abc@aol.com', 'one@yahoo.com']})
concatenate_datasets([ds, ds2])
>>> # Works!
```
### Environment info
- `datasets` version: 2.15.1.dev0
- Platform: Linux-5.15.0-89-generic-x86_64-with-glibc2.35
- Python version: 3.9.13
- `huggingface_hub` version: 0.19.4
- PyArrow version: 9.0.0
- Pandas version: 1.4.4
- `fsspec` version: 2023.6.0
I would be happy to fix this issue.
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6466/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6466/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6465
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6465/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6465/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6465/events
|
https://github.com/huggingface/datasets/issues/6465
| 2,022,212,468
|
I_kwDODunzps54iIN0
| 6,465
|
`load_dataset` uses out-of-date cache instead of re-downloading a changed dataset
|
{
"login": "mnoukhov",
"id": 3391297,
"node_id": "MDQ6VXNlcjMzOTEyOTc=",
"avatar_url": "https://avatars.githubusercontent.com/u/3391297?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mnoukhov",
"html_url": "https://github.com/mnoukhov",
"followers_url": "https://api.github.com/users/mnoukhov/followers",
"following_url": "https://api.github.com/users/mnoukhov/following{/other_user}",
"gists_url": "https://api.github.com/users/mnoukhov/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mnoukhov/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mnoukhov/subscriptions",
"organizations_url": "https://api.github.com/users/mnoukhov/orgs",
"repos_url": "https://api.github.com/users/mnoukhov/repos",
"events_url": "https://api.github.com/users/mnoukhov/events{/privacy}",
"received_events_url": "https://api.github.com/users/mnoukhov/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 2
| 2023-12-02T21:35:17
| 2024-08-20T08:32:11
| null |
NONE
| null | null | null |
### Describe the bug
When a dataset is updated on the hub, using `load_dataset` will load the locally cached dataset instead of re-downloading the updated dataset
### Steps to reproduce the bug
Here is a minimal example script to
1. create an initial dataset and upload
2. download it so it is stored in cache
3. change the dataset and re-upload
4. redownload
```python
import time
from datasets import Dataset, DatasetDict, DownloadMode, load_dataset
username = "YOUR_USERNAME_HERE"
initial = Dataset.from_dict({"foo": [1, 2, 3]})
print(f"Intial {initial['foo']}")
initial_ds = DatasetDict({"train": initial})
initial_ds.push_to_hub("test")
time.sleep(1)
download = load_dataset(f"{username}/test", split="train")
changed = download.map(lambda x: {"foo": x["foo"] + 1})
print(f"Changed {changed['foo']}")
changed.push_to_hub("test")
time.sleep(1)
download_again = load_dataset(f"{username}/test", split="train")
print(f"Download Changed {download_again['foo']}")
# >>> gives the out-dated [1,2,3] when it should be changed [2,3,4]
```
The redownloaded dataset should be the changed dataset but it is actually the cached, initial dataset. Force-redownloading gives the correct dataset
```python
download_again_force = load_dataset(f"{username}/test", split="train", download_mode=DownloadMode.FORCE_REDOWNLOAD)
print(f"Force Download Changed {download_again_force['foo']}")
# >>> [2,3,4]
```
### Expected behavior
I assumed there should be some sort of hashing that should check for changes in the dataset and re-download if the hashes don't match
### Environment info
- `datasets` version: 2.15.0 │
- Platform: Linux-5.15.0-1028-nvidia-x86_64-with-glibc2.17 │
- Python version: 3.8.17 │
- `huggingface_hub` version: 0.19.4 │
- PyArrow version: 13.0.0 │
- Pandas version: 2.0.3 │
- `fsspec` version: 2023.6.0
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6465/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6465/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6460
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6460/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6460/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6460/events
|
https://github.com/huggingface/datasets/issues/6460
| 2,017,433,899
|
I_kwDODunzps54P5kr
| 6,460
|
jsonlines files don't load with `load_dataset`
|
{
"login": "serenalotreck",
"id": 41377532,
"node_id": "MDQ6VXNlcjQxMzc3NTMy",
"avatar_url": "https://avatars.githubusercontent.com/u/41377532?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/serenalotreck",
"html_url": "https://github.com/serenalotreck",
"followers_url": "https://api.github.com/users/serenalotreck/followers",
"following_url": "https://api.github.com/users/serenalotreck/following{/other_user}",
"gists_url": "https://api.github.com/users/serenalotreck/gists{/gist_id}",
"starred_url": "https://api.github.com/users/serenalotreck/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/serenalotreck/subscriptions",
"organizations_url": "https://api.github.com/users/serenalotreck/orgs",
"repos_url": "https://api.github.com/users/serenalotreck/repos",
"events_url": "https://api.github.com/users/serenalotreck/events{/privacy}",
"received_events_url": "https://api.github.com/users/serenalotreck/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 4
| 2023-11-29T21:20:11
| 2023-12-29T02:58:29
| 2023-12-05T13:30:53
|
NONE
| null | null | null |
### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_dataset('slotreck/pickle')
```
Traceback:
```
Downloading readme: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 925/925 [00:00<00:00, 3.11MB/s]
Downloading and preparing dataset json/slotreck--pickle to /mnt/home/lotrecks/.cache/huggingface/datasets/slotreck___json/slotreck--pickle-0c311f36ed032b04/0.0.0/8bb11242116d547c741b2e8a1f18598ffdd40a1d4f2a2872c7a28b697434bc96...
Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 589k/589k [00:00<00:00, 18.9MB/s]
Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 104k/104k [00:00<00:00, 4.61MB/s]
Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 170k/170k [00:00<00:00, 7.71MB/s]
Downloading data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 3.77it/s]
Extracting data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 523.92it/s]
Generating train split: 0 examples [00:00, ? examples/s]Failed to read file '/mnt/home/lotrecks/.cache/huggingface/datasets/downloads/6ec07bb2f279c9377036af6948532513fa8f48244c672d2644a2d7018ee5c9cb' with error <class 'pyarrow.lib.ArrowInvalid'>: JSON parse error: Column(/ner/[]/[]/[]) changed from number to string in row 0
Traceback (most recent call last):
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 144, in _generate_tables
dataset = json.load(f)
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/json/__init__.py", line 296, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/json/__init__.py", line 348, in loads
return _default_decoder.decode(s)
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/json/decoder.py", line 340, in decode
raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 3086)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
for _, table in generator:
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 147, in _generate_tables
raise e
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
File "pyarrow/_json.pyx", line 259, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 144, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/ner/[]/[]/[]) changed from number to string in row 0
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/load.py", line 1815, in load_dataset
storage_options=storage_options,
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 913, in download_and_prepare
**download_and_prepare_kwargs,
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1004, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1768, in _prepare_split
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1912, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset
```
### Expected behavior
For the dataset to be loaded without error.
### Environment info
- `datasets` version: 2.13.1
- Platform: Linux-3.10.0-1160.80.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.12
- Huggingface_hub version: 0.15.1
- PyArrow version: 8.0.0
- Pandas version: 1.3.5
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6460/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6460/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6457
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6457/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6457/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6457/events
|
https://github.com/huggingface/datasets/issues/6457
| 2,015,650,563
|
I_kwDODunzps54JGMD
| 6,457
|
`TypeError`: huggingface_hub.hf_file_system.HfFileSystem.find() got multiple values for keyword argument 'maxdepth'
|
{
"login": "wasertech",
"id": 79070834,
"node_id": "MDQ6VXNlcjc5MDcwODM0",
"avatar_url": "https://avatars.githubusercontent.com/u/79070834?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/wasertech",
"html_url": "https://github.com/wasertech",
"followers_url": "https://api.github.com/users/wasertech/followers",
"following_url": "https://api.github.com/users/wasertech/following{/other_user}",
"gists_url": "https://api.github.com/users/wasertech/gists{/gist_id}",
"starred_url": "https://api.github.com/users/wasertech/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wasertech/subscriptions",
"organizations_url": "https://api.github.com/users/wasertech/orgs",
"repos_url": "https://api.github.com/users/wasertech/repos",
"events_url": "https://api.github.com/users/wasertech/events{/privacy}",
"received_events_url": "https://api.github.com/users/wasertech/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 5
| 2023-11-29T01:57:36
| 2023-11-29T15:39:03
| 2023-11-29T02:02:38
|
NONE
| null | null | null |
### Describe the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Steps to reproduce the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Expected behavior
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Environment info
Please see https://github.com/huggingface/huggingface_hub/issues/1872
|
{
"login": "wasertech",
"id": 79070834,
"node_id": "MDQ6VXNlcjc5MDcwODM0",
"avatar_url": "https://avatars.githubusercontent.com/u/79070834?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/wasertech",
"html_url": "https://github.com/wasertech",
"followers_url": "https://api.github.com/users/wasertech/followers",
"following_url": "https://api.github.com/users/wasertech/following{/other_user}",
"gists_url": "https://api.github.com/users/wasertech/gists{/gist_id}",
"starred_url": "https://api.github.com/users/wasertech/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wasertech/subscriptions",
"organizations_url": "https://api.github.com/users/wasertech/orgs",
"repos_url": "https://api.github.com/users/wasertech/repos",
"events_url": "https://api.github.com/users/wasertech/events{/privacy}",
"received_events_url": "https://api.github.com/users/wasertech/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6457/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6457/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6451
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6451/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6451/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6451/events
|
https://github.com/huggingface/datasets/issues/6451
| 2,010,693,912
|
I_kwDODunzps532MEY
| 6,451
|
Unable to read "marsyas/gtzan" data
|
{
"login": "gerald-wrona",
"id": 32300890,
"node_id": "MDQ6VXNlcjMyMzAwODkw",
"avatar_url": "https://avatars.githubusercontent.com/u/32300890?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gerald-wrona",
"html_url": "https://github.com/gerald-wrona",
"followers_url": "https://api.github.com/users/gerald-wrona/followers",
"following_url": "https://api.github.com/users/gerald-wrona/following{/other_user}",
"gists_url": "https://api.github.com/users/gerald-wrona/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gerald-wrona/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gerald-wrona/subscriptions",
"organizations_url": "https://api.github.com/users/gerald-wrona/orgs",
"repos_url": "https://api.github.com/users/gerald-wrona/repos",
"events_url": "https://api.github.com/users/gerald-wrona/events{/privacy}",
"received_events_url": "https://api.github.com/users/gerald-wrona/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-25T15:13:17
| 2023-12-01T12:53:46
| 2023-11-27T09:36:25
|
NONE
| null | null | null |
Hi, this is my code and the error:
```
from datasets import load_dataset
gtzan = load_dataset("marsyas/gtzan", "all")
```
[error_trace.txt](https://github.com/huggingface/datasets/files/13464397/error_trace.txt)
[audio_yml.txt](https://github.com/huggingface/datasets/files/13464410/audio_yml.txt)
Python 3.11.5
Jupyter Notebook 6.5.4
Windows 10
I'm able to download and work with other datasets, but not this one. For example, both these below work fine:
```
from datasets import load_dataset
dataset = load_dataset("facebook/voxpopuli", "pl", split="train", streaming=True)
minds = load_dataset("PolyAI/minds14", name="en-US", split="train")
```
Thanks for your help
https://huggingface.co/datasets/marsyas/gtzan/tree/main
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6451/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6451/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6450
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6450/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6450/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6450/events
|
https://github.com/huggingface/datasets/issues/6450
| 2,009,491,386
|
I_kwDODunzps53xme6
| 6,450
|
Support multiple image/audio columns in ImageFolder/AudioFolder
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892865,
"node_id": "MDU6TGFiZWwxOTM1ODkyODY1",
"url": "https://api.github.com/repos/huggingface/datasets/labels/duplicate",
"name": "duplicate",
"color": "cfd3d7",
"default": true,
"description": "This issue or pull request already exists"
},
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
| null |
[] | null | 1
| 2023-11-24T10:34:09
| 2023-11-28T11:07:17
| 2023-11-24T17:24:38
|
CONTRIBUTOR
| null | null | null |
### Feature request
Have a metadata.csv file with multiple columns that point to relative image or audio files.
### Motivation
Currently, ImageFolder allows one column, called `file_name`, pointing to relative image files. On the same model, AudioFolder allows one column, called `file_name`, pointing to relative audio files.
But it's not possible to have two image columns, or to have two audio column, or to have one audio column and one image column.
### Your contribution
no specific contribution
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6450/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6450/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6447
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6447/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6447/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6447/events
|
https://github.com/huggingface/datasets/issues/6447
| 2,008,195,298
|
I_kwDODunzps53sqDi
| 6,447
|
Support one dataset loader per config when using YAML
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 0
| 2023-11-23T13:03:07
| 2023-11-23T13:03:07
| null |
CONTRIBUTOR
| null | null | null |
### Feature request
See https://huggingface.co/datasets/datasets-examples/doc-unsupported-1
I would like to use CSV loader for the "csv" config, JSONL loader for the "jsonl" config, etc.
### Motivation
It would be more flexible for the users
### Your contribution
No specific contribution
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6447/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6447/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6446
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6446/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6446/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6446/events
|
https://github.com/huggingface/datasets/issues/6446
| 2,007,092,708
|
I_kwDODunzps53oc3k
| 6,446
|
Speech Commands v2 dataset doesn't match AST-v2 config
|
{
"login": "vymao",
"id": 18024303,
"node_id": "MDQ6VXNlcjE4MDI0MzAz",
"avatar_url": "https://avatars.githubusercontent.com/u/18024303?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vymao",
"html_url": "https://github.com/vymao",
"followers_url": "https://api.github.com/users/vymao/followers",
"following_url": "https://api.github.com/users/vymao/following{/other_user}",
"gists_url": "https://api.github.com/users/vymao/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vymao/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vymao/subscriptions",
"organizations_url": "https://api.github.com/users/vymao/orgs",
"repos_url": "https://api.github.com/users/vymao/repos",
"events_url": "https://api.github.com/users/vymao/events{/privacy}",
"received_events_url": "https://api.github.com/users/vymao/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-22T20:46:36
| 2023-11-28T14:46:08
| 2023-11-28T14:46:08
|
NONE
| null | null | null |
### Describe the bug
[According](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) to `MIT/ast-finetuned-speech-commands-v2`, the model was trained on the Speech Commands v2 dataset. However, while the model config says the model should have 35 class labels, the dataset itself has 36 class labels. Moreover, the class labels themselves don't match between the model config and the dataset. It is difficult to reproduce the data used to fine tune `MIT/ast-finetuned-speech-commands-v2`.
### Steps to reproduce the bug
```
>>> model = ASTForAudioClassification.from_pretrained("MIT/ast-finetuned-speech-commands-v2")
>>> model.config.id2label
{0: 'backward', 1: 'follow', 2: 'five', 3: 'bed', 4: 'zero', 5: 'on', 6: 'learn', 7: 'two', 8: 'house', 9: 'tree', 10: 'dog', 11: 'stop', 12: 'seven', 13: 'eight', 14: 'down', 15: 'six', 16: 'forward', 17: 'cat', 18: 'right', 19: 'visual', 20: 'four', 21: 'wow', 22: 'no', 23: 'nine', 24: 'off', 25: 'three', 26: 'left', 27: 'marvin', 28: 'yes', 29: 'up', 30: 'sheila', 31: 'happy', 32: 'bird', 33: 'go', 34: 'one'}
>>> dataset = load_dataset("speech_commands", "v0.02", split="test")
>>> torch.unique(torch.Tensor(dataset['label']))
tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,
14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
28., 29., 30., 31., 32., 33., 34., 35.])
```
If you try to explore the [dataset itself](https://huggingface.co/datasets/speech_commands/viewer/v0.02/test), you can see that the id to label does not match what is provided by `model.config.id2label`.
### Expected behavior
The labels should match completely and there should be the same number of label classes between the model config and the dataset itself.
### Environment info
datasets = 2.14.6, transformers = 4.33.3
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6446/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6446/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6443
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6443/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6443/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6443/events
|
https://github.com/huggingface/datasets/issues/6443
| 2,006,568,368
|
I_kwDODunzps53mc2w
| 6,443
|
Trouble loading files defined in YAML explicitly
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] |
open
| false
| null |
[] | null | 2
| 2023-11-22T15:18:10
| 2023-11-23T09:06:20
| null |
CONTRIBUTOR
| null | null | null |
Look at https://huggingface.co/datasets/severo/doc-yaml-2
It's a reproduction of the example given in the docs at https://huggingface.co/docs/hub/datasets-manual-configuration
```
You can select multiple files per split using a list of paths:
my_dataset_repository/
├── README.md
├── data/
│ ├── abc.csv
│ └── def.csv
└── holdout/
└── ghi.csv
---
configs:
- config_name: default
data_files:
- split: train
path:
- "data/abc.csv"
- "data/def.csv"
- split: test
path: "holdout/ghi.csv"
---
```
It raises the following error:
```
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find a dataset script at /src/services/worker/severo/doc-yaml-2/doc-yaml-2.py or any data file in the same directory. Couldn't find 'severo/doc-yaml-2' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/severo/doc-yaml-2@938a0578fb4c6bc9da7d80b06a3ba39c2834b0c2/data/def.csv' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.parquet', '.arrow', '.txt', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.h5', '.hdf', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.H5', '.HDF', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.zip']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response
for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1507, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/severo/doc-yaml-2/doc-yaml-2.py or any data file in the same directory. Couldn't find 'severo/doc-yaml-2' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/severo/doc-yaml-2@938a0578fb4c6bc9da7d80b06a3ba39c2834b0c2/data/def.csv' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.parquet', '.arrow', '.txt', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.h5', '.hdf', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.H5', '.HDF', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.zip']
```
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6443/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6443/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6442
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6442/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6442/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6442/events
|
https://github.com/huggingface/datasets/issues/6442
| 2,006,086,907
|
I_kwDODunzps53knT7
| 6,442
|
Trouble loading image folder with additional features - metadata file ignored
|
{
"login": "linoytsaban",
"id": 57615435,
"node_id": "MDQ6VXNlcjU3NjE1NDM1",
"avatar_url": "https://avatars.githubusercontent.com/u/57615435?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/linoytsaban",
"html_url": "https://github.com/linoytsaban",
"followers_url": "https://api.github.com/users/linoytsaban/followers",
"following_url": "https://api.github.com/users/linoytsaban/following{/other_user}",
"gists_url": "https://api.github.com/users/linoytsaban/gists{/gist_id}",
"starred_url": "https://api.github.com/users/linoytsaban/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/linoytsaban/subscriptions",
"organizations_url": "https://api.github.com/users/linoytsaban/orgs",
"repos_url": "https://api.github.com/users/linoytsaban/repos",
"events_url": "https://api.github.com/users/linoytsaban/events{/privacy}",
"received_events_url": "https://api.github.com/users/linoytsaban/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-11-22T11:01:35
| 2023-11-24T17:13:03
| 2023-11-24T17:13:03
|
NONE
| null | null | null |
### Describe the bug
Loading image folder with a caption column using `load_dataset(<image_folder_path>)` doesn't load the captions.
When loading a local image folder with captions using `datasets==2.13.0`
```
from datasets import load_dataset
data = load_dataset(<image_folder_path>)
data.column_names
```
yields
`{'train': ['image', 'prompt']}`
but when using `datasets==2.15.0`
yeilds
`{'train': ['image']}`
Putting the images and `metadata.jsonl` file into a nested `train` folder **or** loading with `load_dataset("imagefolder", data_dir=<image_folder_path>)` solves the issue and
yields
`{'train': ['image', 'prompt']}`
### Steps to reproduce the bug
1. create a folder `<image_folder_path>` that contains images and a metadata file with additional features- e.g. "prompt"
2. run:
```
from datasets import load_dataset
data = load_dataset("<image_folder_path>")
data.column_names
```
### Expected behavior
`{'train': ['image', 'prompt']}`
### Environment info
- `datasets` version: 2.15.0
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- `huggingface_hub` version: 0.19.4
- PyArrow version: 9.0.0
- Pandas version: 1.5.3
- `fsspec` version: 2023.6.0
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6442/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6442/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6441
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6441/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6441/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6441/events
|
https://github.com/huggingface/datasets/issues/6441
| 2,004,985,857
|
I_kwDODunzps53gagB
| 6,441
|
Trouble Loading a Gated Dataset For User with Granted Permission
|
{
"login": "e-trop",
"id": 124715309,
"node_id": "U_kgDOB28BLQ",
"avatar_url": "https://avatars.githubusercontent.com/u/124715309?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/e-trop",
"html_url": "https://github.com/e-trop",
"followers_url": "https://api.github.com/users/e-trop/followers",
"following_url": "https://api.github.com/users/e-trop/following{/other_user}",
"gists_url": "https://api.github.com/users/e-trop/gists{/gist_id}",
"starred_url": "https://api.github.com/users/e-trop/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/e-trop/subscriptions",
"organizations_url": "https://api.github.com/users/e-trop/orgs",
"repos_url": "https://api.github.com/users/e-trop/repos",
"events_url": "https://api.github.com/users/e-trop/events{/privacy}",
"received_events_url": "https://api.github.com/users/e-trop/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-21T19:24:36
| 2023-12-13T08:27:16
| 2023-12-13T08:27:16
|
NONE
| null | null | null |
### Describe the bug
I have granted permissions to several users to access a gated huggingface dataset. The users accepted the invite and when trying to load the dataset using their access token they get
`FileNotFoundError: Couldn't find a dataset script at .....` . Also when they try to click the url link for the dataset they get a 404 error.
### Steps to reproduce the bug
1. Grant access to gated dataset for specific users
2. Users accept invitation
3. Users login to hugging face hub using cli login
4. Users run load_dataset
### Expected behavior
Dataset is loaded normally for users who were granted access to the gated dataset.
### Environment info
datasets==2.15.0
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6441/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6441/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6440
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6440/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6440/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6440/events
|
https://github.com/huggingface/datasets/issues/6440
| 2,004,509,301
|
I_kwDODunzps53emJ1
| 6,440
|
`.map` not hashing under python 3.9
|
{
"login": "changyeli",
"id": 9058204,
"node_id": "MDQ6VXNlcjkwNTgyMDQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/9058204?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/changyeli",
"html_url": "https://github.com/changyeli",
"followers_url": "https://api.github.com/users/changyeli/followers",
"following_url": "https://api.github.com/users/changyeli/following{/other_user}",
"gists_url": "https://api.github.com/users/changyeli/gists{/gist_id}",
"starred_url": "https://api.github.com/users/changyeli/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/changyeli/subscriptions",
"organizations_url": "https://api.github.com/users/changyeli/orgs",
"repos_url": "https://api.github.com/users/changyeli/repos",
"events_url": "https://api.github.com/users/changyeli/events{/privacy}",
"received_events_url": "https://api.github.com/users/changyeli/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-21T15:14:54
| 2023-11-28T16:29:33
| 2023-11-28T16:29:33
|
NONE
| null | null | null |
### Describe the bug
The `.map` function cannot hash under python 3.9. Tried to use [the solution here](https://github.com/huggingface/datasets/issues/4521#issuecomment-1205166653), but still get the same message:
`Parameter 'function'=<function map_to_pred at 0x7fa0b49ead30> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. This warning is only showed once. Subsequent hashing failures won't be showed.`
### Steps to reproduce the bug
```python
def map_to_pred(batch):
"""
Perform inference on an audio batch
Parameters:
batch (dict): A dictionary containing audio data and other related information.
Returns:
dict: The input batch dictionary with added prediction and transcription fields.
"""
audio = batch['audio']
input_features = processor(
audio['array'], sampling_rate=audio['sampling_rate'], return_tensors="pt").input_features
input_features = input_features.to('cuda')
with torch.no_grad():
predicted_ids = model.generate(input_features)
preds = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
batch['prediction'] = processor.tokenizer._normalize(preds)
batch["transcription"] = processor.tokenizer._normalize(batch['transcription'])
return batch
MODEL_CARD = "openai/whisper-small"
MODEL_NAME = MODEL_CARD.rsplit('/', maxsplit=1)[-1]
model = WhisperForConditionalGeneration.from_pretrained(MODEL_CARD)
processor = AutoProcessor.from_pretrained(
MODEL_CARD, language="english", task="transcribe")
model = torch.compile(model)
dt = load_dataset("audiofolder", data_dir=config['DATA']['dataset'], split="test")
dt = dt.cast_column("audio", Audio(sampling_rate=16000))
result = coraal_dt.map(map_to_pred, num_proc=16)
```
### Expected behavior
Hashed and cached dataset starts inferencing
### Environment info
- `transformers` version: 4.35.0
- Platform: Linux-5.14.0-284.30.1.el9_2.x86_64-x86_64-with-glibc2.34
- Python version: 3.9.18
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6440/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6440/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6439
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6439/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6439/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6439/events
|
https://github.com/huggingface/datasets/issues/6439
| 2,002,916,514
|
I_kwDODunzps53YhSi
| 6,439
|
Download + preparation speed of datasets.load_dataset is 20x slower than huggingface hub snapshot and manual loding
|
{
"login": "AntreasAntoniou",
"id": 10792502,
"node_id": "MDQ6VXNlcjEwNzkyNTAy",
"avatar_url": "https://avatars.githubusercontent.com/u/10792502?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/AntreasAntoniou",
"html_url": "https://github.com/AntreasAntoniou",
"followers_url": "https://api.github.com/users/AntreasAntoniou/followers",
"following_url": "https://api.github.com/users/AntreasAntoniou/following{/other_user}",
"gists_url": "https://api.github.com/users/AntreasAntoniou/gists{/gist_id}",
"starred_url": "https://api.github.com/users/AntreasAntoniou/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/AntreasAntoniou/subscriptions",
"organizations_url": "https://api.github.com/users/AntreasAntoniou/orgs",
"repos_url": "https://api.github.com/users/AntreasAntoniou/repos",
"events_url": "https://api.github.com/users/AntreasAntoniou/events{/privacy}",
"received_events_url": "https://api.github.com/users/AntreasAntoniou/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 0
| 2023-11-20T20:07:23
| 2023-11-20T20:07:37
| null |
NONE
| null | null | null |
### Describe the bug
I am working with a dataset I am trying to publish.
The path is Antreas/TALI.
It's a fairly large dataset, and contains images, video, audio and text.
I have been having multiple problems when the dataset is being downloaded using the load_dataset function -- even with 64 workers taking more than 7 days to process.
With snapshot download it takes 12 hours, and that includes the dataset preparation done using load_dataset and passing the dataset parquet file paths.
Find the script I am using below:
```python
import multiprocessing as mp
import pathlib
from typing import Optional
import datasets
from rich import print
from tqdm import tqdm
def download_dataset_via_hub(
dataset_name: str,
dataset_download_path: pathlib.Path,
num_download_workers: int = mp.cpu_count(),
):
import huggingface_hub as hf_hub
download_folder = hf_hub.snapshot_download(
repo_id=dataset_name,
repo_type="dataset",
cache_dir=dataset_download_path,
resume_download=True,
max_workers=num_download_workers,
ignore_patterns=[],
)
return pathlib.Path(download_folder) / "data"
def load_dataset_via_hub(
dataset_download_path: pathlib.Path,
num_download_workers: int = mp.cpu_count(),
dataset_name: Optional[str] = None,
):
from dataclasses import dataclass, field
from datasets import ClassLabel, Features, Image, Sequence, Value
dataset_path = download_dataset_via_hub(
dataset_download_path=dataset_download_path,
num_download_workers=num_download_workers,
dataset_name=dataset_name,
)
# Building a list of file paths for validation set
train_files = [
file.as_posix()
for file in pathlib.Path(dataset_path).glob("*.parquet")
if "train" in file.as_posix()
]
val_files = [
file.as_posix()
for file in pathlib.Path(dataset_path).glob("*.parquet")
if "val" in file.as_posix()
]
test_files = [
file.as_posix()
for file in pathlib.Path(dataset_path).glob("*.parquet")
if "test" in file.as_posix()
]
print(
f"Found {len(test_files)} files for testing set, {len(train_files)} for training set and {len(val_files)} for validation set"
)
data_files = {
"test": test_files,
"val": val_files,
"train": train_files,
}
features = Features(
{
"image": Image(
decode=True
), # Set `decode=True` if you want to decode the images, otherwise `decode=False`
"image_url": Value("string"),
"item_idx": Value("int64"),
"wit_features": Sequence(
{
"attribution_passes_lang_id": Value("bool"),
"caption_alt_text_description": Value("string"),
"caption_reference_description": Value("string"),
"caption_title_and_reference_description": Value("string"),
"context_page_description": Value("string"),
"context_section_description": Value("string"),
"hierarchical_section_title": Value("string"),
"is_main_image": Value("bool"),
"language": Value("string"),
"page_changed_recently": Value("bool"),
"page_title": Value("string"),
"page_url": Value("string"),
"section_title": Value("string"),
}
),
"wit_idx": Value("int64"),
"youtube_title_text": Value("string"),
"youtube_description_text": Value("string"),
"youtube_video_content": Value("binary"),
"youtube_video_starting_time": Value("string"),
"youtube_subtitle_text": Value("string"),
"youtube_video_size": Value("int64"),
"youtube_video_file_path": Value("string"),
}
)
dataset = datasets.load_dataset(
"parquet" if dataset_name is None else dataset_name,
data_files=data_files,
features=features,
num_proc=1,
cache_dir=dataset_download_path / "cache",
)
return dataset
if __name__ == "__main__":
dataset_cache = pathlib.Path("/disk/scratch_fast0/tali/")
dataset = load_dataset_via_hub(dataset_cache, dataset_name="Antreas/TALI")[
"test"
]
for sample in tqdm(dataset):
print(list(sample.keys()))
```
Also, streaming this dataset has been a very painfully slow process. Streaming the train set takes 15m to start, and streaming the test and val sets takes 3 hours to start!
### Steps to reproduce the bug
1. Run the code I provided to get a sense of how fast snapshot + manual is
2. Run datasets.load_dataset("Antreas/TALI") to get a sense of the speed of that OP.
3. You should now have an appreciation of how long these things take.
### Expected behavior
The load dataset function should be at least as fast as the huggingface snapshot download function in terms of downloading dataset files. Not 20 times slower.
### Environment info
- `datasets` version: 2.14.5
- Platform: Linux-5.15.0-76-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- PyArrow version: 13.0.0
- Pandas version: 2.1.1
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6439/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6439/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6438
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6438/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6438/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6438/events
|
https://github.com/huggingface/datasets/issues/6438
| 2,002,032,804
|
I_kwDODunzps53VJik
| 6,438
|
Support GeoParquet
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 6
| 2023-11-20T11:54:58
| 2024-02-07T08:36:51
| null |
CONTRIBUTOR
| null | null | null |
### Feature request
Support the GeoParquet format
### Motivation
GeoParquet (https://geoparquet.org/) is a common format for sharing vectorial geospatial data on the cloud, along with "traditional" data columns.
It would be nice to be able to load this format with datasets, and more generally, in the Datasets Hub (see https://huggingface.co/datasets/joshuasundance/govgis_nov2023-slim-spatial/discussions/1).
### Your contribution
I would be happy to help work on a PR (but I don't think I can do one on my own).
Also, we have to define what we want to support:
- load all the columns, but get the "geospatial" column in text-only mode for now
- or, fully support the spatial features, maybe taking inspiration from (or depending upon) https://geopandas.org/en/stable/index.html (which itself depends on https://fiona.readthedocs.io/en/stable/, which requires a local install of https://gdal.org/)
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6438/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6438/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6437
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6437/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6437/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6437/events
|
https://github.com/huggingface/datasets/issues/6437
| 2,001,272,606
|
I_kwDODunzps53SP8e
| 6,437
|
Problem in training iterable dataset
|
{
"login": "21Timothy",
"id": 38107672,
"node_id": "MDQ6VXNlcjM4MTA3Njcy",
"avatar_url": "https://avatars.githubusercontent.com/u/38107672?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/21Timothy",
"html_url": "https://github.com/21Timothy",
"followers_url": "https://api.github.com/users/21Timothy/followers",
"following_url": "https://api.github.com/users/21Timothy/following{/other_user}",
"gists_url": "https://api.github.com/users/21Timothy/gists{/gist_id}",
"starred_url": "https://api.github.com/users/21Timothy/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/21Timothy/subscriptions",
"organizations_url": "https://api.github.com/users/21Timothy/orgs",
"repos_url": "https://api.github.com/users/21Timothy/repos",
"events_url": "https://api.github.com/users/21Timothy/events{/privacy}",
"received_events_url": "https://api.github.com/users/21Timothy/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 5
| 2023-11-20T03:04:02
| 2024-05-22T03:14:13
| null |
NONE
| null | null | null |
### Describe the bug
I am using PyTorch DDP (Distributed Data Parallel) to train my model. Since the data is too large to load into memory at once, I am using load_dataset to read the data as an iterable dataset. I have used datasets.distributed.split_dataset_by_node to distribute the dataset. However, I have noticed that this distribution results in different processes having different amounts of data to train on. As a result, when the earliest process finishes training and starts predicting on the test set, other processes are still training, causing the overall training speed to be very slow.
### Steps to reproduce the bug
```
def train(args, model, device, train_loader, optimizer, criterion, epoch, length):
model.train()
idx_length = 0
for batch_idx, data in enumerate(train_loader):
s_time = time.time()
X = data['X']
target = data['y'].reshape(-1, 28)
X, target = X.to(device), target.to(device)
optimizer.zero_grad()
output = model(X)
loss = criterion(output, target)
loss.backward()
optimizer.step()
idx_length += 1
if batch_idx % args.log_interval == 0:
# print('Train Epoch: {} Batch_idx: {} Process: {} [{}/{} ({:.0f}%)]\tLoss: {:.6f}'.format(
# epoch, batch_idx, torch.distributed.get_rank(), batch_idx * len(X), length / torch.distributed.get_world_size(),
# 100. * batch_idx * len(
# X) * torch.distributed.get_world_size() / length, loss.item()))
print('Train Epoch: {} Batch_idx: {} Process: {} [{}/{} ({:.0f}%)]\t'.format(
epoch, batch_idx, torch.distributed.get_rank(), batch_idx * len(X), length / torch.distributed.get_world_size(),
100. * batch_idx * len(
X) * torch.distributed.get_world_size() / length))
if args.dry_run:
break
print('Process %s length: %s time: %s' % (torch.distributed.get_rank(), idx_length, datetime.datetime.now()))
train_iterable_dataset = load_dataset("parquet", data_files=data_files, split="train", streaming=True)
test_iterable_dataset = load_dataset("parquet", data_files=data_files, split="test", streaming=True)
train_iterable_dataset = train_iterable_dataset.map(process_fn)
test_iterable_dataset = test_iterable_dataset.map(process_fn)
train_iterable_dataset = train_iterable_dataset.map(scale)
test_iterable_dataset = test_iterable_dataset.map(scale)
train_iterable_dataset = datasets.distributed.split_dataset_by_node(train_iterable_dataset,
world_size=world_size, rank=local_rank).shuffle(seed=1234)
test_iterable_dataset = datasets.distributed.split_dataset_by_node(test_iterable_dataset,
world_size=world_size, rank=local_rank).shuffle(seed=1234)
print(torch.distributed.get_rank(), train_iterable_dataset.n_shards, test_iterable_dataset.n_shards)
train_kwargs = {'batch_size': args.batch_size}
test_kwargs = {'batch_size': args.test_batch_size}
if use_cuda:
cuda_kwargs = {'num_workers': 3,#ngpus_per_node,
'pin_memory': True,
'shuffle': False}
train_kwargs.update(cuda_kwargs)
test_kwargs.update(cuda_kwargs)
train_loader = torch.utils.data.DataLoader(train_iterable_dataset, **train_kwargs,
# sampler=torch.utils.data.distributed.DistributedSampler(
# train_iterable_dataset,
# num_replicas=ngpus_per_node,
# rank=0)
)
test_loader = torch.utils.data.DataLoader(test_iterable_dataset, **test_kwargs,
# sampler=torch.utils.data.distributed.DistributedSampler(
# test_iterable_dataset,
# num_replicas=ngpus_per_node,
# rank=0)
)
for epoch in range(1, args.epochs + 1):
start_time = time.time()
train_iterable_dataset.set_epoch(epoch)
test_iterable_dataset.set_epoch(epoch)
train(args, model, device, train_loader, optimizer, criterion, epoch, train_len)
test(args, model, device, criterion2, test_loader)
```
And here’s the part of output:
```
Train Epoch: 1 Batch_idx: 5000 Process: 0 [320000/4710975.0 (7%)]
Train Epoch: 1 Batch_idx: 5000 Process: 1 [320000/4710975.0 (7%)]
Train Epoch: 1 Batch_idx: 5000 Process: 2 [320000/4710975.0 (7%)]
Train Epoch: 1 Batch_idx: 5862 Process: 3 Data_length: 12 coststime: 0.04095172882080078
Train Epoch: 1 Batch_idx: 5862 Process: 0 Data_length: 3 coststime: 0.0751960277557373
Train Epoch: 1 Batch_idx: 5867 Process: 3 Data_length: 49 coststime: 0.0032558441162109375
Train Epoch: 1 Batch_idx: 5872 Process: 1 Data_length: 2 coststime: 0.022842884063720703
Train Epoch: 1 Batch_idx: 5876 Process: 3 Data_length: 63 coststime: 0.002694845199584961
Process 3 length: 5877 time: 2023-11-17 17:03:26.582317
Train epoch 1 costTime: 241.72063446044922s . Process 3 Start to test.
3 0 tensor(45508.8516, device='cuda:3')
3 100 tensor(45309.0469, device='cuda:3')
3 200 tensor(45675.3047, device='cuda:3')
3 300 tensor(45263.0273, device='cuda:3')
Process 3 Reduce metrics.
Train Epoch: 2 Batch_idx: 0 Process: 3 [0/4710975.0 (0%)]
Train Epoch: 1 Batch_idx: 5882 Process: 1 Data_length: 63 coststime: 0.05185818672180176
Train Epoch: 1 Batch_idx: 5887 Process: 1 Data_length: 12 coststime: 0.006895303726196289
Process 1 length: 5888 time: 2023-11-17 17:20:48.578204
Train epoch 1 costTime: 1285.7279663085938s . Process 1 Start to test.
1 0 tensor(45265.9141, device='cuda:1')
```
### Expected behavior
I'd like to know how to fix this problem.
### Environment info
```
torch==2.0
datasets==2.14.0
```
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6437/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6437/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6436
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6436/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6436/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6436/events
|
https://github.com/huggingface/datasets/issues/6436
| 2,000,844,474
|
I_kwDODunzps53Qna6
| 6,436
|
TypeError: <lambda>() takes 0 positional arguments but 1 was given
|
{
"login": "ahmadmustafaanis",
"id": 47111429,
"node_id": "MDQ6VXNlcjQ3MTExNDI5",
"avatar_url": "https://avatars.githubusercontent.com/u/47111429?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ahmadmustafaanis",
"html_url": "https://github.com/ahmadmustafaanis",
"followers_url": "https://api.github.com/users/ahmadmustafaanis/followers",
"following_url": "https://api.github.com/users/ahmadmustafaanis/following{/other_user}",
"gists_url": "https://api.github.com/users/ahmadmustafaanis/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ahmadmustafaanis/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ahmadmustafaanis/subscriptions",
"organizations_url": "https://api.github.com/users/ahmadmustafaanis/orgs",
"repos_url": "https://api.github.com/users/ahmadmustafaanis/repos",
"events_url": "https://api.github.com/users/ahmadmustafaanis/events{/privacy}",
"received_events_url": "https://api.github.com/users/ahmadmustafaanis/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-19T13:10:20
| 2024-06-25T06:00:31
| 2023-11-29T16:28:34
|
NONE
| null | null | null |
### Describe the bug
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-35-7b6becee3685>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from datasets import Dataset
9 frames
[/usr/local/lib/python3.10/dist-packages/datasets/__init__.py](https://localhost:8080/#) in <module>
20 __version__ = "2.15.0"
21
---> 22 from .arrow_dataset import Dataset
23 from .arrow_reader import ReadInstruction
24 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_dataset.py](https://localhost:8080/#) in <module>
61 import pyarrow.compute as pc
62 from huggingface_hub import CommitOperationAdd, CommitOperationDelete, DatasetCard, DatasetCardData, HfApi
---> 63 from multiprocess import Pool
64 from requests import HTTPError
65
[/usr/local/lib/python3.10/dist-packages/multiprocess/__init__.py](https://localhost:8080/#) in <module>
31
32 import sys
---> 33 from . import context
34
35 #
[/usr/local/lib/python3.10/dist-packages/multiprocess/context.py](https://localhost:8080/#) in <module>
4
5 from . import process
----> 6 from . import reduction
7
8 __all__ = ()
[/usr/local/lib/python3.10/dist-packages/multiprocess/reduction.py](https://localhost:8080/#) in <module>
14 import os
15 try:
---> 16 import dill as pickle
17 except ImportError:
18 import pickle
[/usr/local/lib/python3.10/dist-packages/dill/__init__.py](https://localhost:8080/#) in <module>
24
25
---> 26 from ._dill import (
27 dump, dumps, load, loads, copy,
28 Pickler, Unpickler, register, pickle, pickles, check,
[/usr/local/lib/python3.10/dist-packages/dill/_dill.py](https://localhost:8080/#) in <module>
166 try:
167 from _pyio import open as _open
--> 168 PyTextWrapperType = get_file_type('r', buffering=-1, open=_open)
169 PyBufferedRandomType = get_file_type('r+b', buffering=-1, open=_open)
170 PyBufferedReaderType = get_file_type('rb', buffering=-1, open=_open)
[/usr/local/lib/python3.10/dist-packages/dill/_dill.py](https://localhost:8080/#) in get_file_type(*args, **kwargs)
154 def get_file_type(*args, **kwargs):
155 open = kwargs.pop("open", __builtin__.open)
--> 156 f = open(os.devnull, *args, **kwargs)
157 t = type(f)
158 f.close()
[/usr/lib/python3.10/_pyio.py](https://localhost:8080/#) in open(file, mode, buffering, encoding, errors, newline, closefd, opener)
280 return result
281 encoding = text_encoding(encoding)
--> 282 text = TextIOWrapper(buffer, encoding, errors, newline, line_buffering)
283 result = text
284 text.mode = mode
[/usr/lib/python3.10/_pyio.py](https://localhost:8080/#) in __init__(self, buffer, encoding, errors, newline, line_buffering, write_through)
2043 encoding = "utf-8"
2044 else:
-> 2045 encoding = locale.getpreferredencoding(False)
2046
2047 if not isinstance(encoding, str):
TypeError: <lambda>() takes 0 positional arguments but 1 was given
```
or
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-36-652e886d387f>](https://localhost:8080/#) in <cell line: 1>()
----> 1 import datasets
9 frames
[/usr/local/lib/python3.10/dist-packages/datasets/__init__.py](https://localhost:8080/#) in <module>
20 __version__ = "2.15.0"
21
---> 22 from .arrow_dataset import Dataset
23 from .arrow_reader import ReadInstruction
24 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_dataset.py](https://localhost:8080/#) in <module>
61 import pyarrow.compute as pc
62 from huggingface_hub import CommitOperationAdd, CommitOperationDelete, DatasetCard, DatasetCardData, HfApi
---> 63 from multiprocess import Pool
64 from requests import HTTPError
65
[/usr/local/lib/python3.10/dist-packages/multiprocess/__init__.py](https://localhost:8080/#) in <module>
31
32 import sys
---> 33 from . import context
34
35 #
[/usr/local/lib/python3.10/dist-packages/multiprocess/context.py](https://localhost:8080/#) in <module>
4
5 from . import process
----> 6 from . import reduction
7
8 __all__ = ()
[/usr/local/lib/python3.10/dist-packages/multiprocess/reduction.py](https://localhost:8080/#) in <module>
14 import os
15 try:
---> 16 import dill as pickle
17 except ImportError:
18 import pickle
[/usr/local/lib/python3.10/dist-packages/dill/__init__.py](https://localhost:8080/#) in <module>
24
25
---> 26 from ._dill import (
27 dump, dumps, load, loads, copy,
28 Pickler, Unpickler, register, pickle, pickles, check,
[/usr/local/lib/python3.10/dist-packages/dill/_dill.py](https://localhost:8080/#) in <module>
166 try:
167 from _pyio import open as _open
--> 168 PyTextWrapperType = get_file_type('r', buffering=-1, open=_open)
169 PyBufferedRandomType = get_file_type('r+b', buffering=-1, open=_open)
170 PyBufferedReaderType = get_file_type('rb', buffering=-1, open=_open)
[/usr/local/lib/python3.10/dist-packages/dill/_dill.py](https://localhost:8080/#) in get_file_type(*args, **kwargs)
154 def get_file_type(*args, **kwargs):
155 open = kwargs.pop("open", __builtin__.open)
--> 156 f = open(os.devnull, *args, **kwargs)
157 t = type(f)
158 f.close()
[/usr/lib/python3.10/_pyio.py](https://localhost:8080/#) in open(file, mode, buffering, encoding, errors, newline, closefd, opener)
280 return result
281 encoding = text_encoding(encoding)
--> 282 text = TextIOWrapper(buffer, encoding, errors, newline, line_buffering)
283 result = text
284 text.mode = mode
[/usr/lib/python3.10/_pyio.py](https://localhost:8080/#) in __init__(self, buffer, encoding, errors, newline, line_buffering, write_through)
2043 encoding = "utf-8"
2044 else:
-> 2045 encoding = locale.getpreferredencoding(False)
2046
2047 if not isinstance(encoding, str):
TypeError: <lambda>() takes 0 positional arguments but 1 was given
```
### Steps to reproduce the bug
`import datasets` on colab
### Expected behavior
work fine
### Environment info
colab
`!pip install datasets`
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6436/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6436/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6435
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6435/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6435/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6435/events
|
https://github.com/huggingface/datasets/issues/6435
| 2,000,690,513
|
I_kwDODunzps53QB1R
| 6,435
|
Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method
|
{
"login": "kopyl",
"id": 17604849,
"node_id": "MDQ6VXNlcjE3NjA0ODQ5",
"avatar_url": "https://avatars.githubusercontent.com/u/17604849?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kopyl",
"html_url": "https://github.com/kopyl",
"followers_url": "https://api.github.com/users/kopyl/followers",
"following_url": "https://api.github.com/users/kopyl/following{/other_user}",
"gists_url": "https://api.github.com/users/kopyl/gists{/gist_id}",
"starred_url": "https://api.github.com/users/kopyl/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kopyl/subscriptions",
"organizations_url": "https://api.github.com/users/kopyl/orgs",
"repos_url": "https://api.github.com/users/kopyl/repos",
"events_url": "https://api.github.com/users/kopyl/events{/privacy}",
"received_events_url": "https://api.github.com/users/kopyl/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-19T04:21:16
| 2024-01-27T17:14:20
| 2023-12-04T16:57:43
|
NONE
| null | null | null |
### Describe the bug
1. I ran dataset mapping with `num_proc=6` in it and got this error:
`RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method`
I can't actually find a way to run multi-GPU dataset mapping. Can you help?
### Steps to reproduce the bug
1. Rund SDXL training with `num_proc=6`: https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py
### Expected behavior
Should work well
### Environment info
6x A100 SXM, Linux
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6435/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6435/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6432
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6432/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6432/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6432/events
|
https://github.com/huggingface/datasets/issues/6432
| 1,999,258,140
|
I_kwDODunzps53KkIc
| 6,432
|
load_dataset does not load all of the data in my input file
|
{
"login": "demongolem-biz2",
"id": 121301001,
"node_id": "U_kgDOBzroCQ",
"avatar_url": "https://avatars.githubusercontent.com/u/121301001?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/demongolem-biz2",
"html_url": "https://github.com/demongolem-biz2",
"followers_url": "https://api.github.com/users/demongolem-biz2/followers",
"following_url": "https://api.github.com/users/demongolem-biz2/following{/other_user}",
"gists_url": "https://api.github.com/users/demongolem-biz2/gists{/gist_id}",
"starred_url": "https://api.github.com/users/demongolem-biz2/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/demongolem-biz2/subscriptions",
"organizations_url": "https://api.github.com/users/demongolem-biz2/orgs",
"repos_url": "https://api.github.com/users/demongolem-biz2/repos",
"events_url": "https://api.github.com/users/demongolem-biz2/events{/privacy}",
"received_events_url": "https://api.github.com/users/demongolem-biz2/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 1
| 2023-11-17T14:28:50
| 2023-11-22T17:34:58
| null |
NONE
| null | null | null |
### Describe the bug
I have 127 elements in my input dataset. When I do a len on the dataset after loaded, it is only 124 elements.
### Steps to reproduce the bug
train_dataset = nlp.load_dataset(data_args.dataset_path, name=data_args.qg_format, split=nlp.Split.TRAIN)
valid_dataset = nlp.load_dataset(data_args.dataset_path, name=data_args.qg_format, split=nlp.Split.VALIDATION)
logger.info(len(train_dataset))
logger.info(len(valid_dataset))
Both train and valid input are 127 items. However, they both only load 124 items. The input format is in json. At the end of the day, I am trying to create .pt files.
### Expected behavior
I see all 127 elements in my dataset when performing len
### Environment info
Python 3.10. CentOS operating system. nlp==0.40, datasets==2.14.5, transformers==4.26.1
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6432/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6432/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6422
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6422/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6422/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6422/events
|
https://github.com/huggingface/datasets/issues/6422
| 1,994,579,267
|
I_kwDODunzps524t1D
| 6,422
|
Allow to choose the `writer_batch_size` when using `save_to_disk`
|
{
"login": "NathanGodey",
"id": 38216711,
"node_id": "MDQ6VXNlcjM4MjE2NzEx",
"avatar_url": "https://avatars.githubusercontent.com/u/38216711?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/NathanGodey",
"html_url": "https://github.com/NathanGodey",
"followers_url": "https://api.github.com/users/NathanGodey/followers",
"following_url": "https://api.github.com/users/NathanGodey/following{/other_user}",
"gists_url": "https://api.github.com/users/NathanGodey/gists{/gist_id}",
"starred_url": "https://api.github.com/users/NathanGodey/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/NathanGodey/subscriptions",
"organizations_url": "https://api.github.com/users/NathanGodey/orgs",
"repos_url": "https://api.github.com/users/NathanGodey/repos",
"events_url": "https://api.github.com/users/NathanGodey/events{/privacy}",
"received_events_url": "https://api.github.com/users/NathanGodey/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 2
| 2023-11-15T11:18:34
| 2023-11-16T10:00:21
| null |
NONE
| null | null | null |
### Feature request
Add an argument in `save_to_disk` regarding batch size, which would be passed to `shard` and other methods.
### Motivation
The `Dataset.save_to_disk` method currently calls `shard` without passing a `writer_batch_size` argument, thus implicitly using the default value (1000). This can result in RAM saturation when using a lot of processes on long text sequences or other modalities, or for specific IO configs.
### Your contribution
I would be glad to submit a PR, as long as it does not imply extensive tests refactoring.
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6422/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6422/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6417
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6417/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6417/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6417/events
|
https://github.com/huggingface/datasets/issues/6417
| 1,993,149,416
|
I_kwDODunzps52zQvo
| 6,417
|
Bug: LayoutLMv3 finetuning on FUNSD Notebook; Arrow Error
|
{
"login": "Davo00",
"id": 57496007,
"node_id": "MDQ6VXNlcjU3NDk2MDA3",
"avatar_url": "https://avatars.githubusercontent.com/u/57496007?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Davo00",
"html_url": "https://github.com/Davo00",
"followers_url": "https://api.github.com/users/Davo00/followers",
"following_url": "https://api.github.com/users/Davo00/following{/other_user}",
"gists_url": "https://api.github.com/users/Davo00/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Davo00/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Davo00/subscriptions",
"organizations_url": "https://api.github.com/users/Davo00/orgs",
"repos_url": "https://api.github.com/users/Davo00/repos",
"events_url": "https://api.github.com/users/Davo00/events{/privacy}",
"received_events_url": "https://api.github.com/users/Davo00/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-14T16:53:20
| 2023-11-16T20:23:41
| 2023-11-16T20:23:41
|
NONE
| null | null | null |
### Describe the bug
Arrow issues when running the example Notebook laptop locally on Mac with M1. Works on Google Collab.
**Notebook**: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb
**Error**: `ValueError: Arrow type extension<arrow.py_extension_type<pyarrow.lib.UnknownExtensionType>> does not have a datasets dtype equivalent.`
**Caused by**:
```
# we need to define custom features for `set_format` (used later on) to work properly
features = Features({
'pixel_values': Array3D(dtype="float32", shape=(3, 224, 224)),
'input_ids': Sequence(feature=Value(dtype='int64')),
'attention_mask': Sequence(Value(dtype='int64')),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
'labels': Sequence(feature=Value(dtype='int64')),
})
```
### Steps to reproduce the bug
Run the notebook provided, locally. If possible also on M1.
### Expected behavior
The cell where features are mapped to Array2D and Array3D should work without any issues.
### Environment info
Tried with Python 3.9 and 3.10 conda envs. Running Mac M1.
`pip show datasets`
> Name: datasets
Version: 2.14.6
Summary: HuggingFace community-driven open-source library of datasets
`pip list`
> Package Version
> ------------------------- ------------
> accelerate 0.24.1
> aiohttp 3.8.6
> aiosignal 1.3.1
> anyio 3.5.0
> appnope 0.1.2
> argon2-cffi 21.3.0
> argon2-cffi-bindings 21.2.0
> asttokens 2.0.5
> async-timeout 4.0.3
> attrs 23.1.0
> backcall 0.2.0
> beautifulsoup4 4.12.2
> bleach 4.1.0
> certifi 2023.7.22
> cffi 1.15.1
> charset-normalizer 3.3.2
> comm 0.1.2
> datasets 2.14.6
> debugpy 1.6.7
> decorator 5.1.1
> defusedxml 0.7.1
> dill 0.3.7
> entrypoints 0.4
> exceptiongroup 1.0.4
> executing 0.8.3
> fastjsonschema 2.16.2
> filelock 3.13.1
> frozenlist 1.4.0
> fsspec 2023.10.0
> huggingface-hub 0.17.3
> idna 3.4
> importlib-metadata 6.0.0
> IProgress 0.4
> ipykernel 6.25.0
> ipython 8.15.0
> ipython-genutils 0.2.0
> jedi 0.18.1
> Jinja2 3.1.2
> joblib 1.3.2
> jsonschema 4.19.2
> jsonschema-specifications 2023.7.1
> jupyter_client 7.4.9
> jupyter_core 5.5.0
> jupyter-server 1.23.4
> jupyterlab-pygments 0.1.2
> MarkupSafe 2.1.1
> matplotlib-inline 0.1.6
> mistune 2.0.4
> mpmath 1.3.0
> multidict 6.0.4
> multiprocess 0.70.15
> nbclassic 1.0.0
> nbclient 0.8.0
> nbconvert 7.10.0
> nbformat 5.9.2
> nest-asyncio 1.5.6
> networkx 3.2.1
> notebook 6.5.4
> notebook_shim 0.2.3
> numpy 1.26.1
> packaging 23.1
> pandas 2.1.3
> pandocfilters 1.5.0
> parso 0.8.3
> pexpect 4.8.0
> pickleshare 0.7.5
> Pillow 10.1.0
> pip 23.3
> platformdirs 3.10.0
> prometheus-client 0.14.1
> prompt-toolkit 3.0.36
> psutil 5.9.0
> ptyprocess 0.7.0
> pure-eval 0.2.2
> pyarrow 14.0.1
> pycparser 2.21
> Pygments 2.15.1
> python-dateutil 2.8.2
> pytz 2023.3.post1
> PyYAML 6.0.1
> pyzmq 23.2.0
> referencing 0.30.2
> regex 2023.10.3
> requests 2.31.0
> rpds-py 0.10.6
> safetensors 0.4.0
> scikit-learn 1.3.2
> scipy 1.11.3
> Send2Trash 1.8.2
> seqeval 1.2.2
> setuptools 68.0.0
> six 1.16.0
> sniffio 1.2.0
> soupsieve 2.5
> stack-data 0.2.0
> sympy 1.12
> terminado 0.17.1
> threadpoolctl 3.2.0
> tinycss2 1.2.1
> tokenizers 0.14.1
> torch 2.1.0
> tornado 6.3.3
> tqdm 4.66.1
> traitlets 5.7.1
> transformers 4.36.0.dev0
> typing_extensions 4.7.1
> tzdata 2023.3
> urllib3 2.0.7
> wcwidth 0.2.5
> webencodings 0.5.1
> websocket-client 0.58.0
> wheel 0.41.2
> xxhash 3.4.1
> yarl 1.9.2
> zipp 3.11.0
|
{
"login": "Davo00",
"id": 57496007,
"node_id": "MDQ6VXNlcjU3NDk2MDA3",
"avatar_url": "https://avatars.githubusercontent.com/u/57496007?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Davo00",
"html_url": "https://github.com/Davo00",
"followers_url": "https://api.github.com/users/Davo00/followers",
"following_url": "https://api.github.com/users/Davo00/following{/other_user}",
"gists_url": "https://api.github.com/users/Davo00/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Davo00/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Davo00/subscriptions",
"organizations_url": "https://api.github.com/users/Davo00/orgs",
"repos_url": "https://api.github.com/users/Davo00/repos",
"events_url": "https://api.github.com/users/Davo00/events{/privacy}",
"received_events_url": "https://api.github.com/users/Davo00/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6417/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6417/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6412
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6412/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6412/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6412/events
|
https://github.com/huggingface/datasets/issues/6412
| 1,992,401,594
|
I_kwDODunzps52waK6
| 6,412
|
User token is printed out!
|
{
"login": "mohsen-goodarzi",
"id": 25702692,
"node_id": "MDQ6VXNlcjI1NzAyNjky",
"avatar_url": "https://avatars.githubusercontent.com/u/25702692?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mohsen-goodarzi",
"html_url": "https://github.com/mohsen-goodarzi",
"followers_url": "https://api.github.com/users/mohsen-goodarzi/followers",
"following_url": "https://api.github.com/users/mohsen-goodarzi/following{/other_user}",
"gists_url": "https://api.github.com/users/mohsen-goodarzi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mohsen-goodarzi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mohsen-goodarzi/subscriptions",
"organizations_url": "https://api.github.com/users/mohsen-goodarzi/orgs",
"repos_url": "https://api.github.com/users/mohsen-goodarzi/repos",
"events_url": "https://api.github.com/users/mohsen-goodarzi/events{/privacy}",
"received_events_url": "https://api.github.com/users/mohsen-goodarzi/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-11-14T10:01:34
| 2023-11-14T22:19:46
| 2023-11-14T22:19:46
|
NONE
| null | null | null |
This line prints user token on command line! Is it safe?
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/load.py#L2091
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6412/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6412/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6410
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6410/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6410/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6410/events
|
https://github.com/huggingface/datasets/issues/6410
| 1,992,100,209
|
I_kwDODunzps52vQlx
| 6,410
|
Datasets does not load HuggingFace Repository properly
|
{
"login": "MikeDoes",
"id": 40600201,
"node_id": "MDQ6VXNlcjQwNjAwMjAx",
"avatar_url": "https://avatars.githubusercontent.com/u/40600201?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/MikeDoes",
"html_url": "https://github.com/MikeDoes",
"followers_url": "https://api.github.com/users/MikeDoes/followers",
"following_url": "https://api.github.com/users/MikeDoes/following{/other_user}",
"gists_url": "https://api.github.com/users/MikeDoes/gists{/gist_id}",
"starred_url": "https://api.github.com/users/MikeDoes/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MikeDoes/subscriptions",
"organizations_url": "https://api.github.com/users/MikeDoes/orgs",
"repos_url": "https://api.github.com/users/MikeDoes/repos",
"events_url": "https://api.github.com/users/MikeDoes/events{/privacy}",
"received_events_url": "https://api.github.com/users/MikeDoes/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 2
| 2023-11-14T06:50:49
| 2023-11-16T06:54:36
| null |
NONE
| null | null | null |
### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me know and we would be more than happy to adapt the structure of the repository or meta data so it works easier:
```python
from datasets import load_dataset
dataset = load_dataset("ai4privacy/pii-masking-200k")
```
```
Downloading readme: 100%
11.8k/11.8k [00:00<00:00, 512kB/s]
Downloading data files: 100%
1/1 [00:11<00:00, 11.16s/it]
Downloading data: 100%
64.3M/64.3M [00:02<00:00, 32.9MB/s]
Downloading data: 100%
113M/113M [00:03<00:00, 35.0MB/s]
Downloading data: 100%
97.7M/97.7M [00:02<00:00, 46.1MB/s]
Downloading data: 100%
90.8M/90.8M [00:02<00:00, 44.9MB/s]
Downloading data: 100%
7.63k/7.63k [00:00<00:00, 41.0kB/s]
Downloading data: 100%
1.03k/1.03k [00:00<00:00, 9.44kB/s]
Extracting data files: 100%
1/1 [00:00<00:00, 29.26it/s]
Generating train split:
209261/0 [00:05<00:00, 41201.25 examples/s]
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
1939 )
-> 1940 writer.write_table(table)
1941 num_examples_progress_update += len(table)
8 frames
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_writer.py](https://localhost:8080/#) in write_table(self, pa_table, writer_batch_size)
571 pa_table = pa_table.combine_chunks()
--> 572 pa_table = table_cast(pa_table, self._schema)
573 if self.embed_local_files:
[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in table_cast(table, schema)
2327 if table.schema != schema:
-> 2328 return cast_table_to_schema(table, schema)
2329 elif table.schema.metadata != schema.metadata:
[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in cast_table_to_schema(table, schema)
2285 if sorted(table.column_names) != sorted(features):
-> 2286 raise ValueError(f"Couldn't cast\n{table.schema}\nto\n{features}\nbecause column names don't match")
2287 arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
ValueError: Couldn't cast
JOBTYPE: int64
PHONEIMEI: int64
ACCOUNTNAME: int64
VEHICLEVIN: int64
GENDER: int64
CURRENCYCODE: int64
CREDITCARDISSUER: int64
JOBTITLE: int64
SEX: int64
CURRENCYSYMBOL: int64
IP: int64
EYECOLOR: int64
MASKEDNUMBER: int64
SECONDARYADDRESS: int64
JOBAREA: int64
ACCOUNTNUMBER: int64
language: string
BITCOINADDRESS: int64
MAC: int64
SSN: int64
EMAIL: int64
ETHEREUMADDRESS: int64
DOB: int64
VEHICLEVRM: int64
IPV6: int64
AMOUNT: int64
URL: int64
PHONENUMBER: int64
PIN: int64
TIME: int64
CREDITCARDNUMBER: int64
FIRSTNAME: int64
IBAN: int64
BIC: int64
COUNTY: int64
STATE: int64
LASTNAME: int64
ZIPCODE: int64
HEIGHT: int64
ORDINALDIRECTION: int64
MIDDLENAME: int64
STREET: int64
USERNAME: int64
CURRENCY: int64
PREFIX: int64
USERAGENT: int64
CURRENCYNAME: int64
LITECOINADDRESS: int64
CREDITCARDCVV: int64
AGE: int64
CITY: int64
PASSWORD: int64
BUILDINGNUMBER: int64
IPV4: int64
NEARBYGPSCOORDINATE: int64
DATE: int64
COMPANYNAME: int64
to
{'masked_text': Value(dtype='string', id=None), 'unmasked_text': Value(dtype='string', id=None), 'privacy_mask': Value(dtype='string', id=None), 'span_labels': Value(dtype='string', id=None), 'bio_labels': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'tokenised_text': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
because column names don't match
The above exception was the direct cause of the following exception:
DatasetGenerationError Traceback (most recent call last)
[<ipython-input-2-f1c6811e9c83>](https://localhost:8080/#) in <cell line: 3>()
1 from datasets import load_dataset
2
----> 3 dataset = load_dataset("ai4privacy/pii-masking-200k")
[/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)
2151
2152 # Download and prepare data
-> 2153 builder_instance.download_and_prepare(
2154 download_config=download_config,
2155 download_mode=download_mode,
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
952 if num_proc is not None:
953 prepare_split_kwargs["num_proc"] = num_proc
--> 954 self._download_and_prepare(
955 dl_manager=dl_manager,
956 verification_mode=verification_mode,
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
1047 try:
1048 # Prepare split will record examples associated to the split
-> 1049 self._prepare_split(split_generator, **prepare_split_kwargs)
1050 except OSError as e:
1051 raise OSError(
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split(self, split_generator, file_format, num_proc, max_shard_size)
1811 job_id = 0
1812 with pbar:
-> 1813 for job_id, done, content in self._prepare_split_single(
1814 gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
1815 ):
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
1956 if isinstance(e, SchemaInferenceError) and e.__context__ is not None:
1957 e = e.__context__
-> 1958 raise DatasetGenerationError("An error occurred while generating the dataset") from e
1959
1960 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)
DatasetGenerationError: An error occurred while generating the dataset
```
Thank you and have a great day ahead
### Steps to reproduce the bug
Open Google Colab Notebook:
Run command:
!pip3 install datasets
Run code:
from datasets import load_dataset
dataset = load_dataset("ai4privacy/pii-masking-200k")
### Expected behavior
Download the dataset successfully from HuggingFace to the notebook so that we can start working with it
### Environment info
- `datasets` version: 2.14.6
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.19.1
- PyArrow version: 9.0.0
- Pandas version: 1.5.3
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6410/reactions",
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6410/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6409
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6409/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6409/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6409/events
|
https://github.com/huggingface/datasets/issues/6409
| 1,991,960,865
|
I_kwDODunzps52uukh
| 6,409
|
using DownloadManager to download from local filesystem and disable_progress_bar, there will be an exception
|
{
"login": "neiblegy",
"id": 16574677,
"node_id": "MDQ6VXNlcjE2NTc0Njc3",
"avatar_url": "https://avatars.githubusercontent.com/u/16574677?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/neiblegy",
"html_url": "https://github.com/neiblegy",
"followers_url": "https://api.github.com/users/neiblegy/followers",
"following_url": "https://api.github.com/users/neiblegy/following{/other_user}",
"gists_url": "https://api.github.com/users/neiblegy/gists{/gist_id}",
"starred_url": "https://api.github.com/users/neiblegy/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/neiblegy/subscriptions",
"organizations_url": "https://api.github.com/users/neiblegy/orgs",
"repos_url": "https://api.github.com/users/neiblegy/repos",
"events_url": "https://api.github.com/users/neiblegy/events{/privacy}",
"received_events_url": "https://api.github.com/users/neiblegy/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 0
| 2023-11-14T04:21:01
| 2023-11-22T16:42:09
| 2023-11-22T16:42:09
|
NONE
| null | null | null |
### Describe the bug
i'm using datasets.download.download_manager.DownloadManager to download files like "file:///a/b/c.txt", and i disable_progress_bar() to disable bar. there will be an exception as follows:
`AttributeError: 'function' object has no attribute 'close'
Exception ignored in: <function TqdmCallback.__del__ at 0x7fa8683d84c0>
Traceback (most recent call last):
File "/home/protoss.gao/.local/lib/python3.9/site-packages/fsspec/callbacks.py", line 233, in __del__
self.tqdm.close()`
i check your source code in datasets/utils/file_utils.py:348 you define TqdmCallback derive from fsspec.callbacks.TqdmCallback
but in the newest fsspec code [https://github.com/fsspec/filesystem_spec/blob/master/fsspec/callbacks.py](url) , line 146, in this case, _DEFAULT_CALLBACK will take effect, but in line 234, it calls "close()" function which _DEFAULT_CALLBACK don't have such thing.
so i think the class "TqdmCallback" in datasets/utils/file_utils.py may override "__del__" function or report this bug to fsspec.
### Steps to reproduce the bug
as i said
### Expected behavior
no exception
### Environment info
datasets: 2.14.4
python: 3.9
platform: x86_64
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6409/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6409/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6408
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6408/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6408/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6408/events
|
https://github.com/huggingface/datasets/issues/6408
| 1,991,902,972
|
I_kwDODunzps52ugb8
| 6,408
|
`IterableDataset` lost but not keep columns when map function adding columns with names in `remove_columns`
|
{
"login": "shmily326",
"id": 24571857,
"node_id": "MDQ6VXNlcjI0NTcxODU3",
"avatar_url": "https://avatars.githubusercontent.com/u/24571857?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/shmily326",
"html_url": "https://github.com/shmily326",
"followers_url": "https://api.github.com/users/shmily326/followers",
"following_url": "https://api.github.com/users/shmily326/following{/other_user}",
"gists_url": "https://api.github.com/users/shmily326/gists{/gist_id}",
"starred_url": "https://api.github.com/users/shmily326/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/shmily326/subscriptions",
"organizations_url": "https://api.github.com/users/shmily326/orgs",
"repos_url": "https://api.github.com/users/shmily326/repos",
"events_url": "https://api.github.com/users/shmily326/events{/privacy}",
"received_events_url": "https://api.github.com/users/shmily326/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 0
| 2023-11-14T03:12:08
| 2023-11-16T06:24:10
| null |
NONE
| null | null | null |
### Describe the bug
IterableDataset lost but not keep columns when map function adding columns with names in remove_columns,
Dataset not.
May be related to the code below:
https://github.com/huggingface/datasets/blob/06c3ffb8d068b6307b247164b10f7c7311cefed4/src/datasets/iterable_dataset.py#L750-L756
### Steps to reproduce the bug
```python
dataset: IterableDataset = load_dataset("Anthropic/hh-rlhf", streaming=True, split="train")
column_names = list(next(iter(dataset)).keys()) # ['chosen', 'rejected']
# map_fn will return dict {"chosen": xxx, "rejected": xxx, "prompt": xxx, "history": xxxx}
dataset = dataset.map(map_fn, batched=True, remove_columns=column_names)
next(iter(dataset))
# output
# {'prompt': 'xxx, 'history': xxx}
```
```python
# when load_dataset with streaming=False, the column_names are kept:
dataset: Dataset = load_dataset("Anthropic/hh-rlhf", streaming=False, split="train")
column_names = list(next(iter(dataset)).keys()) # ['chosen', 'rejected']
# map_fn will return dict {"chosen": xxx, "rejected": xxx, "prompt": xxx, "history": xxxx}
dataset = dataset.map(map_fn, batched=True, remove_columns=column_names)
next(iter(dataset))
# output
# {'prompt': 'xxx, 'history': xxx, "chosen": xxx, "rejected": xxx}
```
### Expected behavior
IterableDataset keep columns when map function adding columns with names in remove_columns
### Environment info
datasets==2.14.6
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6408/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6408/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6407
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6407/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6407/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6407/events
|
https://github.com/huggingface/datasets/issues/6407
| 1,991,514,079
|
I_kwDODunzps52tBff
| 6,407
|
Loading the dataset from private S3 bucket gives "TypeError: cannot pickle '_contextvars.Context' object"
|
{
"login": "eawer",
"id": 1741779,
"node_id": "MDQ6VXNlcjE3NDE3Nzk=",
"avatar_url": "https://avatars.githubusercontent.com/u/1741779?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/eawer",
"html_url": "https://github.com/eawer",
"followers_url": "https://api.github.com/users/eawer/followers",
"following_url": "https://api.github.com/users/eawer/following{/other_user}",
"gists_url": "https://api.github.com/users/eawer/gists{/gist_id}",
"starred_url": "https://api.github.com/users/eawer/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/eawer/subscriptions",
"organizations_url": "https://api.github.com/users/eawer/orgs",
"repos_url": "https://api.github.com/users/eawer/repos",
"events_url": "https://api.github.com/users/eawer/events{/privacy}",
"received_events_url": "https://api.github.com/users/eawer/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 1
| 2023-11-13T21:27:43
| 2024-07-30T12:35:09
| null |
NONE
| null | null | null |
### Describe the bug
I'm trying to read the parquet file from the private s3 bucket using the `load_dataset` function, but I receive `TypeError: cannot pickle '_contextvars.Context' object` error
I'm working on a machine with `~/.aws/credentials` file. I can't give credentials and the path to a file in a private bucket for obvious reasons, but I'll try to give all possible outputs.
### Steps to reproduce the bug
```python
import s3fs
from datasets import load_dataset
from aiobotocore.session import get_session
DATA_PATH = "s3://bucket_name/path/validation.parquet"
fs = s3fs.S3FileSystem(session=get_session())
```
`fs.stat` returns the data, so we can say that fs is working and we have all permissions
```python
fs.stat(DATA_PATH)
# Returns:
# {'ETag': '"123123a-19"',
# 'LastModified': datetime.datetime(2023, 11, 1, 10, 16, 57, tzinfo=tzutc()),
# 'size': 312237170,
# 'name': 'bucket_name/path/validation.parquet',
# 'type': 'file',
# 'StorageClass': 'STANDARD',
# 'VersionId': 'Abc.HtmsC9h.as',
# 'ContentType': 'binary/octet-stream'}
```
```python
fs.storage_options
# Returns:
# {'session': <aiobotocore.session.AioSession at 0x7f9193fa53c0>}
```
```python
ds = load_dataset("parquet", data_files={"train": DATA_PATH}, storage_options=fs.storage_options)
```
<details>
<summary>Returns such error (expandable)</summary>
```python
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[88], line 1
----> 1 ds = load_dataset("parquet", data_files={"train": DATA_PATH}, storage_options=fs.storage_options)
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/load.py:2153, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)
2150 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
2152 # Download and prepare data
-> 2153 builder_instance.download_and_prepare(
2154 download_config=download_config,
2155 download_mode=download_mode,
2156 verification_mode=verification_mode,
2157 try_from_hf_gcs=try_from_hf_gcs,
2158 num_proc=num_proc,
2159 storage_options=storage_options,
2160 )
2162 # Build dataset for splits
2163 keep_in_memory = (
2164 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
2165 )
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/builder.py:954, in DatasetBuilder.download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
952 if num_proc is not None:
953 prepare_split_kwargs["num_proc"] = num_proc
--> 954 self._download_and_prepare(
955 dl_manager=dl_manager,
956 verification_mode=verification_mode,
957 **prepare_split_kwargs,
958 **download_and_prepare_kwargs,
959 )
960 # Sync info
961 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/builder.py:1027, in DatasetBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
1025 split_dict = SplitDict(dataset_name=self.dataset_name)
1026 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs)
-> 1027 split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
1029 # Checksums verification
1030 if verification_mode == VerificationMode.ALL_CHECKS and dl_manager.record_checksums:
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/packaged_modules/parquet/parquet.py:34, in Parquet._split_generators(self, dl_manager)
32 if not self.config.data_files:
33 raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}")
---> 34 data_files = dl_manager.download_and_extract(self.config.data_files)
35 if isinstance(data_files, (str, list, tuple)):
36 files = data_files
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/download/download_manager.py:565, in DownloadManager.download_and_extract(self, url_or_urls)
549 def download_and_extract(self, url_or_urls):
550 """Download and extract given `url_or_urls`.
551
552 Is roughly equivalent to:
(...)
563 extracted_path(s): `str`, extracted paths of given URL(s).
564 """
--> 565 return self.extract(self.download(url_or_urls))
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/download/download_manager.py:420, in DownloadManager.download(self, url_or_urls)
401 def download(self, url_or_urls):
402 """Download given URL(s).
403
404 By default, only one process is used for download. Pass customized `download_config.num_proc` to change this behavior.
(...)
418 ```
419 """
--> 420 download_config = self.download_config.copy()
421 download_config.extract_compressed_file = False
422 if download_config.download_desc is None:
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/download/download_config.py:94, in DownloadConfig.copy(self)
93 def copy(self) -> "DownloadConfig":
---> 94 return self.__class__(**{k: copy.deepcopy(v) for k, v in self.__dict__.items()})
File ~/miniconda3/envs/test-env/lib/python3.10/site-packages/datasets/download/download_config.py:94, in <dictcomp>(.0)
93 def copy(self) -> "DownloadConfig":
---> 94 return self.__class__(**{k: copy.deepcopy(v) for k, v in self.__dict__.items()})
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
[... skipping similar frames: _deepcopy_dict at line 231 (2 times), deepcopy at line 146 (2 times)]
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
[... skipping similar frames: deepcopy at line 146 (1 times)]
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:206, in _deepcopy_list(x, memo, deepcopy)
204 append = y.append
205 for a in x:
--> 206 append(deepcopy(a, memo))
207 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:238, in _deepcopy_method(x, memo)
237 def _deepcopy_method(x, memo): # Copy instance methods
--> 238 return type(x)(x.__func__, deepcopy(x.__self__, memo))
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
[... skipping similar frames: _deepcopy_dict at line 231 (3 times), deepcopy at line 146 (3 times), deepcopy at line 172 (3 times), _reconstruct at line 271 (2 times)]
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
[... skipping similar frames: _deepcopy_dict at line 231 (1 times), deepcopy at line 146 (1 times)]
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:265, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
263 if deep and args:
264 args = (deepcopy(arg, memo) for arg in args)
--> 265 y = func(*args)
266 if deep:
267 memo[id(x)] = y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:264, in <genexpr>(.0)
262 deep = memo is not None
263 if deep and args:
--> 264 args = (deepcopy(arg, memo) for arg in args)
265 y = func(*args)
266 if deep:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:211, in _deepcopy_tuple(x, memo, deepcopy)
210 def _deepcopy_tuple(x, memo, deepcopy=deepcopy):
--> 211 y = [deepcopy(a, memo) for a in x]
212 # We're not going to put the tuple in the memo, but it's still important we
213 # check for it, in case the tuple contains recursive mutable structures.
214 try:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:211, in <listcomp>(.0)
210 def _deepcopy_tuple(x, memo, deepcopy=deepcopy):
--> 211 y = [deepcopy(a, memo) for a in x]
212 # We're not going to put the tuple in the memo, but it's still important we
213 # check for it, in case the tuple contains recursive mutable structures.
214 try:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:172, in deepcopy(x, memo, _nil)
170 y = x
171 else:
--> 172 y = _reconstruct(x, memo, *rv)
174 # If is its own copy, don't memoize.
175 if y is not x:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:271, in _reconstruct(x, memo, func, args, state, listiter, dictiter, deepcopy)
269 if state is not None:
270 if deep:
--> 271 state = deepcopy(state, memo)
272 if hasattr(y, '__setstate__'):
273 y.__setstate__(state)
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:211, in _deepcopy_tuple(x, memo, deepcopy)
210 def _deepcopy_tuple(x, memo, deepcopy=deepcopy):
--> 211 y = [deepcopy(a, memo) for a in x]
212 # We're not going to put the tuple in the memo, but it's still important we
213 # check for it, in case the tuple contains recursive mutable structures.
214 try:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:211, in <listcomp>(.0)
210 def _deepcopy_tuple(x, memo, deepcopy=deepcopy):
--> 211 y = [deepcopy(a, memo) for a in x]
212 # We're not going to put the tuple in the memo, but it's still important we
213 # check for it, in case the tuple contains recursive mutable structures.
214 try:
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:146, in deepcopy(x, memo, _nil)
144 copier = _deepcopy_dispatch.get(cls)
145 if copier is not None:
--> 146 y = copier(x, memo)
147 else:
148 if issubclass(cls, type):
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:231, in _deepcopy_dict(x, memo, deepcopy)
229 memo[id(x)] = y
230 for key, value in x.items():
--> 231 y[deepcopy(key, memo)] = deepcopy(value, memo)
232 return y
File ~/miniconda3/envs/test-env/lib/python3.10/copy.py:161, in deepcopy(x, memo, _nil)
159 reductor = getattr(x, "__reduce_ex__", None)
160 if reductor is not None:
--> 161 rv = reductor(4)
162 else:
163 reductor = getattr(x, "__reduce__", None)
TypeError: cannot pickle '_contextvars.Context' object
```
</details>
### Expected behavior
If I choose to load the file from the public bucket with `anon=True` passed - everything works, so I expected loading from the private bucket to work as well
### Environment info
- `datasets` version: 2.14.6
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.10.13
- Huggingface_hub version: 0.19.1
- PyArrow version: 14.0.1
- Pandas version: 1.5.3
- s3fs version: 2023.10.0
- fsspec version: 2023.10.0
- aiobotocore version: 2.7.0
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6407/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6407/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6406
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6406/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6406/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6406/events
|
https://github.com/huggingface/datasets/issues/6406
| 1,990,469,045
|
I_kwDODunzps52pCW1
| 6,406
|
CI Build PR Documentation is broken: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 0
| 2023-11-13T11:36:10
| 2023-11-14T10:05:36
| 2023-11-14T10:05:36
|
MEMBER
| null | null | null |
Our CI Build PR Documentation is broken. See: https://github.com/huggingface/datasets/actions/runs/6799554060/job/18486828777?pr=6390
```
ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
```
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6406/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6406/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6405
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6405/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6405/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6405/events
|
https://github.com/huggingface/datasets/issues/6405
| 1,990,358,743
|
I_kwDODunzps52onbX
| 6,405
|
ConfigNamesError on a simple CSV file
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] |
closed
| false
| null |
[] | null | 3
| 2023-11-13T10:28:29
| 2023-11-13T20:01:24
| 2023-11-13T20:01:24
|
CONTRIBUTOR
| null | null | null |
See https://huggingface.co/datasets/Nguyendo1999/mmath/discussions/1
```
Error code: ConfigNamesError
Exception: TypeError
Message: __init__() missing 1 required positional argument: 'dtype'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response
for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1489, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1039, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 468, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 399, in _from_yaml_dict
yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1838, in _from_yaml_list
return cls.from_dict(from_yaml_inner(yaml_data))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1690, in from_dict
obj = generate_from_dict(dic)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1345, in generate_from_dict
return {key: generate_from_dict(value) for key, value in obj.items()}
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1345, in <dictcomp>
return {key: generate_from_dict(value) for key, value in obj.items()}
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1353, in generate_from_dict
return class_type(**{k: v for k, v in obj.items() if k in field_names})
TypeError: __init__() missing 1 required positional argument: 'dtype'
```
This is the CSV file: https://huggingface.co/datasets/Nguyendo1999/mmath/blob/dbcdd7c2c6fc447f852ec136a7532292802bb46f/math_train.csv
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6405/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6405/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6403
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6403/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6403/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6403/events
|
https://github.com/huggingface/datasets/issues/6403
| 1,990,098,817
|
I_kwDODunzps52nn-B
| 6,403
|
Cannot import datasets on google colab (python 3.10.12)
|
{
"login": "nabilaannisa",
"id": 15389235,
"node_id": "MDQ6VXNlcjE1Mzg5MjM1",
"avatar_url": "https://avatars.githubusercontent.com/u/15389235?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/nabilaannisa",
"html_url": "https://github.com/nabilaannisa",
"followers_url": "https://api.github.com/users/nabilaannisa/followers",
"following_url": "https://api.github.com/users/nabilaannisa/following{/other_user}",
"gists_url": "https://api.github.com/users/nabilaannisa/gists{/gist_id}",
"starred_url": "https://api.github.com/users/nabilaannisa/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/nabilaannisa/subscriptions",
"organizations_url": "https://api.github.com/users/nabilaannisa/orgs",
"repos_url": "https://api.github.com/users/nabilaannisa/repos",
"events_url": "https://api.github.com/users/nabilaannisa/events{/privacy}",
"received_events_url": "https://api.github.com/users/nabilaannisa/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-13T08:14:43
| 2023-11-16T05:04:22
| 2023-11-16T05:04:21
|
NONE
| null | null | null |
### Describe the bug
I'm trying A full colab demo notebook of zero-shot-distillation from https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero-shot-distillation but i got this type of error when importing datasets on my google colab (python version is 3.10.12)
I found the same problem that have been solved in [#3326 ] but it seem still error on the google colab. I can't try on my local using jupyter notebook because of my laptop resource doesn't fulfill the requirements.
Please can anyone help me solve this problem. Thank you 😅
### Steps to reproduce the bug
Error:
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
[<ipython-input-8-b6e092f83978>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from datasets import load_dataset
2
3 # Print all the available datasets
4 from huggingface_hub import list_datasets
5 print([dataset.id for dataset in list_datasets()])
6 frames
[/usr/lib/python3.10/functools.py](https://localhost:8080/#) in update_wrapper(wrapper, wrapped, assigned, updated)
59 # Issue #17482: set __wrapped__ last so we don't inadvertently copy it
60 # from the wrapped function when updating __dict__
---> 61 wrapper.__wrapped__ = wrapped
62 # Return the wrapper so this can be used as a decorator via partial()
63 return wrapper
AttributeError: readonly attribute
```
### Expected behavior
Run success on Google Colab (free)
### Environment info
Windows 11 x64, Google Colab free
|
{
"login": "nabilaannisa",
"id": 15389235,
"node_id": "MDQ6VXNlcjE1Mzg5MjM1",
"avatar_url": "https://avatars.githubusercontent.com/u/15389235?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/nabilaannisa",
"html_url": "https://github.com/nabilaannisa",
"followers_url": "https://api.github.com/users/nabilaannisa/followers",
"following_url": "https://api.github.com/users/nabilaannisa/following{/other_user}",
"gists_url": "https://api.github.com/users/nabilaannisa/gists{/gist_id}",
"starred_url": "https://api.github.com/users/nabilaannisa/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/nabilaannisa/subscriptions",
"organizations_url": "https://api.github.com/users/nabilaannisa/orgs",
"repos_url": "https://api.github.com/users/nabilaannisa/repos",
"events_url": "https://api.github.com/users/nabilaannisa/events{/privacy}",
"received_events_url": "https://api.github.com/users/nabilaannisa/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6403/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6403/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6401
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6401/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6401/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6401/events
|
https://github.com/huggingface/datasets/issues/6401
| 1,988,710,061
|
I_kwDODunzps52iU6t
| 6,401
|
dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text") not working
|
{
"login": "userbox020",
"id": 47074021,
"node_id": "MDQ6VXNlcjQ3MDc0MDIx",
"avatar_url": "https://avatars.githubusercontent.com/u/47074021?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/userbox020",
"html_url": "https://github.com/userbox020",
"followers_url": "https://api.github.com/users/userbox020/followers",
"following_url": "https://api.github.com/users/userbox020/following{/other_user}",
"gists_url": "https://api.github.com/users/userbox020/gists{/gist_id}",
"starred_url": "https://api.github.com/users/userbox020/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/userbox020/subscriptions",
"organizations_url": "https://api.github.com/users/userbox020/orgs",
"repos_url": "https://api.github.com/users/userbox020/repos",
"events_url": "https://api.github.com/users/userbox020/events{/privacy}",
"received_events_url": "https://api.github.com/users/userbox020/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-11T04:09:07
| 2023-11-20T17:45:20
| 2023-11-20T17:45:20
|
NONE
| null | null | null |
### Describe the bug
```
(datasets) mruserbox@guru-X99:/media/10TB_HHD/_LLM_DATASETS$ python dataset.py
Downloading readme: 100%|███████████████████████████████████| 360/360 [00:00<00:00, 2.16MB/s]
Downloading data: 100%|█████████████████████████████████| 65.1M/65.1M [00:19<00:00, 3.38MB/s]
Downloading data: 100%|█████████████████████████████████| 6.35k/6.35k [00:00<00:00, 20.7kB/s]
Downloading data: 100%|█████████████████████████████████| 7.29M/7.29M [00:01<00:00, 3.99MB/s]
Downloading data files: 100%|██████████████████████████████████| 3/3 [00:21<00:00, 7.14s/it]
Extracting data files: 100%|█████████████████████████████████| 3/3 [00:00<00:00, 1624.23it/s]
Generating train split: 100%|█████████████| 314294/314294 [00:00<00:00, 668186.58 examples/s]
Generating validation split: 120 examples [00:00, 100422.28 examples/s]
Generating test split: 100%|████████████████| 34922/34922 [00:00<00:00, 754683.41 examples/s]
Traceback (most recent call last):
File "/media/10TB_HHD/_LLM_DATASETS/dataset.py", line 3, in <module>
dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text")
File "/home/mruserbox/miniconda3/envs/datasets/lib/python3.10/site-packages/datasets/load.py", line 2153, in load_dataset
builder_instance.download_and_prepare(
File "/home/mruserbox/miniconda3/envs/datasets/lib/python3.10/site-packages/datasets/builder.py", line 954, in download_and_prepare
self._download_and_prepare(
File "/home/mruserbox/miniconda3/envs/datasets/lib/python3.10/site-packages/datasets/builder.py", line 1067, in _download_and_prepare
verify_splits(self.info.splits, split_dict)
File "/home/mruserbox/miniconda3/envs/datasets/lib/python3.10/site-packages/datasets/utils/info_utils.py", line 93, in verify_splits
raise UnexpectedSplits(str(set(recorded_splits) - set(expected_splits)))
datasets.utils.info_utils.UnexpectedSplits: {'validation'}
```
### Steps to reproduce the bug
Name:
`dataset.py`
Code:
```
from datasets import load_dataset
dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text")
```
### Expected behavior
Run without errors
### Environment info
```
name: datasets
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.12=h7f8727e_0
- python=3.10.13=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py310h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- wheel=0.41.2=py310h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- aiohttp==3.8.6
- aiosignal==1.3.1
- async-timeout==4.0.3
- attrs==23.1.0
- certifi==2023.7.22
- charset-normalizer==3.3.2
- click==8.1.7
- datasets==2.14.6
- dill==0.3.7
- filelock==3.13.1
- frozenlist==1.4.0
- fsspec==2023.10.0
- huggingface-hub==0.19.0
- idna==3.4
- multidict==6.0.4
- multiprocess==0.70.15
- numpy==1.26.1
- openai==0.27.8
- packaging==23.2
- pandas==2.1.3
- pip==23.3.1
- platformdirs==4.0.0
- pyarrow==14.0.1
- python-dateutil==2.8.2
- pytz==2023.3.post1
- pyyaml==6.0.1
- requests==2.31.0
- six==1.16.0
- tomli==2.0.1
- tqdm==4.66.1
- typer==0.9.0
- typing-extensions==4.8.0
- tzdata==2023.3
- urllib3==2.0.7
- xxhash==3.4.1
- yarl==1.9.2
prefix: /home/mruserbox/miniconda3/envs/datasets
```
|
{
"login": "userbox020",
"id": 47074021,
"node_id": "MDQ6VXNlcjQ3MDc0MDIx",
"avatar_url": "https://avatars.githubusercontent.com/u/47074021?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/userbox020",
"html_url": "https://github.com/userbox020",
"followers_url": "https://api.github.com/users/userbox020/followers",
"following_url": "https://api.github.com/users/userbox020/following{/other_user}",
"gists_url": "https://api.github.com/users/userbox020/gists{/gist_id}",
"starred_url": "https://api.github.com/users/userbox020/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/userbox020/subscriptions",
"organizations_url": "https://api.github.com/users/userbox020/orgs",
"repos_url": "https://api.github.com/users/userbox020/repos",
"events_url": "https://api.github.com/users/userbox020/events{/privacy}",
"received_events_url": "https://api.github.com/users/userbox020/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6401/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6401/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6400
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6400/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6400/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6400/events
|
https://github.com/huggingface/datasets/issues/6400
| 1,988,571,317
|
I_kwDODunzps52hzC1
| 6,400
|
Safely load datasets by disabling execution of dataset loading script
|
{
"login": "irenedea",
"id": 14367635,
"node_id": "MDQ6VXNlcjE0MzY3NjM1",
"avatar_url": "https://avatars.githubusercontent.com/u/14367635?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/irenedea",
"html_url": "https://github.com/irenedea",
"followers_url": "https://api.github.com/users/irenedea/followers",
"following_url": "https://api.github.com/users/irenedea/following{/other_user}",
"gists_url": "https://api.github.com/users/irenedea/gists{/gist_id}",
"starred_url": "https://api.github.com/users/irenedea/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/irenedea/subscriptions",
"organizations_url": "https://api.github.com/users/irenedea/orgs",
"repos_url": "https://api.github.com/users/irenedea/repos",
"events_url": "https://api.github.com/users/irenedea/events{/privacy}",
"received_events_url": "https://api.github.com/users/irenedea/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
] | null | 4
| 2023-11-10T23:48:29
| 2024-06-13T15:56:13
| 2024-06-13T15:56:13
|
NONE
| null | null | null |
### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code execution.
### Your contribution
n/a
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6400/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6400/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6399
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6399/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6399/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6399/events
|
https://github.com/huggingface/datasets/issues/6399
| 1,988,368,503
|
I_kwDODunzps52hBh3
| 6,399
|
TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array
|
{
"login": "y-hwang",
"id": 76236359,
"node_id": "MDQ6VXNlcjc2MjM2MzU5",
"avatar_url": "https://avatars.githubusercontent.com/u/76236359?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/y-hwang",
"html_url": "https://github.com/y-hwang",
"followers_url": "https://api.github.com/users/y-hwang/followers",
"following_url": "https://api.github.com/users/y-hwang/following{/other_user}",
"gists_url": "https://api.github.com/users/y-hwang/gists{/gist_id}",
"starred_url": "https://api.github.com/users/y-hwang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/y-hwang/subscriptions",
"organizations_url": "https://api.github.com/users/y-hwang/orgs",
"repos_url": "https://api.github.com/users/y-hwang/repos",
"events_url": "https://api.github.com/users/y-hwang/events{/privacy}",
"received_events_url": "https://api.github.com/users/y-hwang/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 1
| 2023-11-10T20:48:46
| 2024-06-22T00:13:48
| null |
NONE
| null | null | null |
### Describe the bug
Hi, I am preprocessing a large custom dataset with numpy arrays. I am running into this TypeError during writing in a dataset.map() function. I've tried decreasing writer batch size, but this error persists. This error does not occur for smaller datasets.
Thank you!
### Steps to reproduce the bug
Traceback (most recent call last):
File "/n/home12/yhwang/.conda/envs/lib/python3.10/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/n/home12/yhwang/.conda/envs/lib/python3.10/site-packages/datasets/utils/py_utils.py", line 1354, in _write_generator_to_queue
for i, result in enumerate(func(**kwargs)):
File "/n/home12/yhwang/.conda/envs/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3493, in _map_single
writer.write_batch(batch)
File "/n/home12/yhwang/.conda/envs/lib/python3.10/site-packages/datasets/arrow_writer.py", line 555, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarrow/array.pxi", line 243, in pyarrow.lib.array
File "pyarrow/array.pxi", line 110, in pyarrow.lib._handle_arrow_array_protocol
File "/n/home12/yhwang/.conda/envs/lib/python3.10/site-packages/datasets/arrow_writer.py", line 184, in __arrow_array__
out = numpy_to_pyarrow_listarray(data)
File "/n/home12/yhwang/.conda/envs/lib/python3.10/site-packages/datasets/features/features.py", line 1394, in numpy_to_pyarrow_listarray
values = pa.ListArray.from_arrays(offsets, values)
File "pyarrow/array.pxi", line 2004, in pyarrow.lib.ListArray.from_arrays
TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array
### Expected behavior
Type should not be a ChunkedArray
### Environment info
datasets v2.14.5
arrow v1.2.3
pyarrow v12.0.1
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6399/reactions",
"total_count": 3,
"+1": 3,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6399/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6397
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6397/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6397/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6397/events
|
https://github.com/huggingface/datasets/issues/6397
| 1,987,622,152
|
I_kwDODunzps52eLUI
| 6,397
|
Raise a different exception for inexisting dataset vs files without known extension
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 0
| 2023-11-10T13:22:14
| 2023-11-22T15:12:34
| 2023-11-22T15:12:34
|
CONTRIBUTOR
| null | null | null |
See https://github.com/huggingface/datasets-server/issues/2082#issuecomment-1805716557
We have the same error for:
- https://huggingface.co/datasets/severo/a_dataset_that_does_not_exist: a dataset that does not exist
- https://huggingface.co/datasets/severo/test_files_without_extension: a dataset with files without a known extension
```
>>> import datasets
>>> datasets.get_dataset_config_names('severo/a_dataset_that_does_not_exist')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at /home/slesage/hf/datasets-server/services/worker/severo/a_dataset_that_does_not_exist/a_dataset_that_does_not_exist.py or any data file in the same directory. Couldn't find 'severo/a_dataset_that_does_not_exist' on the Hugging Face Hub either: FileNotFoundError: Dataset 'severo/a_dataset_that_does_not_exist' doesn't exist on the Hub. If the repo is private or gated, make sure to log in with `huggingface-cli login`.
>>> datasets.get_dataset_config_names('severo/test_files_without_extension')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at /home/slesage/hf/datasets-server/services/worker/severo/test_files_without_extension/test_files_without_extension.py or any data file in the same directory. Couldn't find 'severo/test_files_without_extension' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in severo/test_files_without_extension.
```
To differentiate, we must parse the error message (only the end is different). We should have a different exception for these two errors.
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6397/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6397/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6396
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6396/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6396/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6396/events
|
https://github.com/huggingface/datasets/issues/6396
| 1,987,308,077
|
I_kwDODunzps52c-ot
| 6,396
|
Issue with pyarrow 14.0.1
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 5
| 2023-11-10T10:02:12
| 2023-11-14T10:23:30
| 2023-11-14T10:23:30
|
CONTRIBUTOR
| null | null | null |
See https://github.com/huggingface/datasets-server/pull/2089 for reference
```
from datasets import (Array2D, Dataset, Features)
feature_type = Array2D(shape=(2, 2), dtype="float32")
content = [[0.0, 0.0], [0.0, 0.0]]
features = Features({"col": feature_type})
dataset = Dataset.from_dict({"col": [content]}, features=features)
```
generates
```
/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py:648: FutureWarning: pyarrow.PyExtensionType is deprecated and will refuse deserialization by default. Instead, please derive from pyarrow.ExtensionType and implement your own serialization mechanism.
pa.PyExtensionType.__init__(self, self.storage_dtype)
/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py:1661: RuntimeWarning: pickle-based deserialization of pyarrow.PyExtensionType subclasses is disabled by default; if you only ingest trusted data files, you may re-enable this using `pyarrow.PyExtensionType.set_auto_load(True)`.
In the future, Python-defined extension subclasses should derive from pyarrow.ExtensionType (not pyarrow.PyExtensionType) and implement their own serialization mechanism.
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py:1661: FutureWarning: pyarrow.PyExtensionType is deprecated and will refuse deserialization by default. Instead, please derive from pyarrow.ExtensionType and implement your own serialization mechanism.
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 924, in from_dict
return cls(pa_table, info=info, split=split)
File "/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 693, in __init__
inferred_features = Features.from_arrow_schema(arrow_table.schema)
File "/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1661, in from_arrow_schema
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
File "/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1661, in <dictcomp>
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
File "/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1381, in generate_from_arrow_type
return Value(dtype=_arrow_to_datasets_dtype(pa_type))
File "/home/slesage/hf/datasets-server/libs/libcommon/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 111, in _arrow_to_datasets_dtype
raise ValueError(f"Arrow type {arrow_type} does not have a datasets dtype equivalent.")
ValueError: Arrow type extension<arrow.py_extension_type<pyarrow.lib.UnknownExtensionType>> does not have a datasets dtype equivalent.
```
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6396/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6396/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6395
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6395/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6395/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6395/events
|
https://github.com/huggingface/datasets/issues/6395
| 1,986,484,124
|
I_kwDODunzps52Z1ec
| 6,395
|
Add ability to set lock type
|
{
"login": "leoleoasd",
"id": 37735580,
"node_id": "MDQ6VXNlcjM3NzM1NTgw",
"avatar_url": "https://avatars.githubusercontent.com/u/37735580?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/leoleoasd",
"html_url": "https://github.com/leoleoasd",
"followers_url": "https://api.github.com/users/leoleoasd/followers",
"following_url": "https://api.github.com/users/leoleoasd/following{/other_user}",
"gists_url": "https://api.github.com/users/leoleoasd/gists{/gist_id}",
"starred_url": "https://api.github.com/users/leoleoasd/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/leoleoasd/subscriptions",
"organizations_url": "https://api.github.com/users/leoleoasd/orgs",
"repos_url": "https://api.github.com/users/leoleoasd/repos",
"events_url": "https://api.github.com/users/leoleoasd/events{/privacy}",
"received_events_url": "https://api.github.com/users/leoleoasd/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
| null |
[] | null | 1
| 2023-11-09T22:12:30
| 2023-11-23T18:50:00
| 2023-11-23T18:50:00
|
NONE
| null | null | null |
### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment, flock isn't supported on a network attached drive
### Your contribution
I'll be happy to submit a pr.
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6395/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6395/timeline
| null |
not_planned
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6394
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6394/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6394/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6394/events
|
https://github.com/huggingface/datasets/issues/6394
| 1,985,947,116
|
I_kwDODunzps52XyXs
| 6,394
|
TorchFormatter images (H, W, C) instead of (C, H, W) format
|
{
"login": "Modexus",
"id": 37351874,
"node_id": "MDQ6VXNlcjM3MzUxODc0",
"avatar_url": "https://avatars.githubusercontent.com/u/37351874?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Modexus",
"html_url": "https://github.com/Modexus",
"followers_url": "https://api.github.com/users/Modexus/followers",
"following_url": "https://api.github.com/users/Modexus/following{/other_user}",
"gists_url": "https://api.github.com/users/Modexus/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Modexus/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Modexus/subscriptions",
"organizations_url": "https://api.github.com/users/Modexus/orgs",
"repos_url": "https://api.github.com/users/Modexus/repos",
"events_url": "https://api.github.com/users/Modexus/events{/privacy}",
"received_events_url": "https://api.github.com/users/Modexus/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 9
| 2023-11-09T16:02:15
| 2024-04-11T12:40:16
| 2024-04-11T12:40:16
|
CONTRIBUTOR
| null | null | null |
### Describe the bug
Using .set_format("torch") leads to images having shape (H, W, C), the same as in numpy.
However, pytorch normally uses (C, H, W) format.
Maybe I'm missing something but this makes the format a lot less useful as I then have to permute it anyways.
If not using the format it is possible to directly use torchvision transforms but any non-transformed value will not be a tensor.
Is there a reason for this choice?
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Audio, Image
images = ["path/to/image.png"] * 10
features = Features({"image": Image()})
ds = Dataset.from_dict({"image": images}, features=features)
ds = ds.with_format("torch")
ds[0]["image"].shape
```
```python
torch.Size([512, 512, 4])
```
### Expected behavior
```python
from datasets import Dataset, Features, Audio, Image
images = ["path/to/image.png"] * 10
features = Features({"image": Image()})
ds = Dataset.from_dict({"image": images}, features=features)
ds = ds.with_format("torch")
ds[0]["image"].shape
```
```python
torch.Size([4, 512, 512])
```
### Environment info
- `datasets` version: 2.14.6
- Platform: Linux-6.5.9-100.fc37.x86_64-x86_64-with-glibc2.31
- Python version: 3.11.6
- Huggingface_hub version: 0.18.0
- PyArrow version: 14.0.1
- Pandas version: 2.1.2
|
{
"login": "Modexus",
"id": 37351874,
"node_id": "MDQ6VXNlcjM3MzUxODc0",
"avatar_url": "https://avatars.githubusercontent.com/u/37351874?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Modexus",
"html_url": "https://github.com/Modexus",
"followers_url": "https://api.github.com/users/Modexus/followers",
"following_url": "https://api.github.com/users/Modexus/following{/other_user}",
"gists_url": "https://api.github.com/users/Modexus/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Modexus/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Modexus/subscriptions",
"organizations_url": "https://api.github.com/users/Modexus/orgs",
"repos_url": "https://api.github.com/users/Modexus/repos",
"events_url": "https://api.github.com/users/Modexus/events{/privacy}",
"received_events_url": "https://api.github.com/users/Modexus/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6394/reactions",
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6394/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6393
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6393/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6393/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6393/events
|
https://github.com/huggingface/datasets/issues/6393
| 1,984,913,259
|
I_kwDODunzps52T19r
| 6,393
|
Filter occasionally hangs
|
{
"login": "dakinggg",
"id": 43149077,
"node_id": "MDQ6VXNlcjQzMTQ5MDc3",
"avatar_url": "https://avatars.githubusercontent.com/u/43149077?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dakinggg",
"html_url": "https://github.com/dakinggg",
"followers_url": "https://api.github.com/users/dakinggg/followers",
"following_url": "https://api.github.com/users/dakinggg/following{/other_user}",
"gists_url": "https://api.github.com/users/dakinggg/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dakinggg/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dakinggg/subscriptions",
"organizations_url": "https://api.github.com/users/dakinggg/orgs",
"repos_url": "https://api.github.com/users/dakinggg/repos",
"events_url": "https://api.github.com/users/dakinggg/events{/privacy}",
"received_events_url": "https://api.github.com/users/dakinggg/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 11
| 2023-11-09T06:18:30
| 2024-03-05T16:03:12
| null |
NONE
| null | null | null |
### Describe the bug
A call to `.filter` occasionally hangs (after the filter is complete, according to tqdm)
There is a trace produced
```
Exception ignored in: <function Dataset.__del__ at 0x7efb48130c10>
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/datasets/arrow_dataset.py", line 1366, in __del__
if hasattr(self, "_indices"):
File "/usr/lib/python3/dist-packages/composer/core/engine.py", line 123, in sigterm_handler
sys.exit(128 + signal)
SystemExit: 143
```
but I'm not sure if the trace is actually from `datasets`, or from surrounding code that is trying to clean up after datasets gets stuck.
Unfortunately I can't reproduce this issue anywhere close to reliably. It happens infrequently when using `num_procs > 1`. Anecdotally I started seeing it when using larger datasets (~10M samples).
### Steps to reproduce the bug
N/A see description
### Expected behavior
map/filter calls always complete sucessfully
### Environment info
- `datasets` version: 2.14.6
- Platform: Linux-5.4.0-137-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- PyArrow version: 13.0.0
- Pandas version: 2.1.2
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6393/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6393/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6392
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6392/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6392/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6392/events
|
https://github.com/huggingface/datasets/issues/6392
| 1,984,369,545
|
I_kwDODunzps52RxOJ
| 6,392
|
`push_to_hub` is not robust to hub closing connection
|
{
"login": "msis",
"id": 577139,
"node_id": "MDQ6VXNlcjU3NzEzOQ==",
"avatar_url": "https://avatars.githubusercontent.com/u/577139?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/msis",
"html_url": "https://github.com/msis",
"followers_url": "https://api.github.com/users/msis/followers",
"following_url": "https://api.github.com/users/msis/following{/other_user}",
"gists_url": "https://api.github.com/users/msis/gists{/gist_id}",
"starred_url": "https://api.github.com/users/msis/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/msis/subscriptions",
"organizations_url": "https://api.github.com/users/msis/orgs",
"repos_url": "https://api.github.com/users/msis/repos",
"events_url": "https://api.github.com/users/msis/events{/privacy}",
"received_events_url": "https://api.github.com/users/msis/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 12
| 2023-11-08T20:44:53
| 2023-12-20T07:28:24
| 2023-12-01T17:51:34
|
NONE
| null | null | null |
### Describe the bug
Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 715, in urlopen
httplib_response = self._make_request(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 467, in _make_request
six.raise_from(e, None)
File "<string>", line 3, in raise_from
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 462, in _make_request
httplib_response = conn.getresponse()
File "/usr/lib/python3.8/http/client.py", line 1348, in getresponse
response.begin()
File "/usr/lib/python3.8/http/client.py", line 316, in begin
version, status, reason = self._read_status()
File "/usr/lib/python3.8/http/client.py", line 285, in _read_status
raise RemoteDisconnected("Remote end closed connection without"
http.client.RemoteDisconnected: Remote end closed connection without response
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/requests/adapters.py", line 486, in send
resp = conn.urlopen(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 799, in urlopen
retries = retries.increment(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/util/retry.py", line 550, in increment
raise six.reraise(type(error), error, _stacktrace)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/packages/six.py", line 769, in reraise
raise value.with_traceback(tb)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 715, in urlopen
httplib_response = self._make_request(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 467, in _make_request
six.raise_from(e, None)
File "<string>", line 3, in raise_from
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/urllib3/connectionpool.py", line 462, in _make_request
httplib_response = conn.getresponse()
File "/usr/lib/python3.8/http/client.py", line 1348, in getresponse
response.begin()
File "/usr/lib/python3.8/http/client.py", line 316, in begin
version, status, reason = self._read_status()
File "/usr/lib/python3.8/http/client.py", line 285, in _read_status
raise RemoteDisconnected("Remote end closed connection without"
urllib3.exceptions.ProtocolError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/_commit_api.py", line 383, in _wrapped_lfs_upload
lfs_upload(operation=operation, lfs_batch_action=batch_action, token=token)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/lfs.py", line 223, in lfs_upload
_upload_multi_part(operation=operation, header=header, chunk_size=chunk_size, upload_url=upload_action["href"])
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/lfs.py", line 319, in _upload_multi_part
else _upload_parts_iteratively(operation=operation, sorted_parts_urls=sorted_parts_urls, chunk_size=chunk_size)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/lfs.py", line 375, in _upload_parts_iteratively
part_upload_res = http_backoff("PUT", part_upload_url, data=fileobj_slice)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/utils/_http.py", line 258, in http_backoff
response = session.request(method=method, url=url, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/utils/_http.py", line 63, in send
return super().send(request, *args, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/requests/adapters.py", line 501, in send
raise ConnectionError(err, request=request)
requests.exceptions.ConnectionError: (ProtocolError('Connection aborted.', RemoteDisconnected('Remote end closed connection without response')), '(Request ID: 2bab8c06-b701-4266-aead-fe2e0dc0e3ed)')
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "convert_to_hf.py", line 116, in <module>
main()
File "convert_to_hf.py", line 108, in main
audio_dataset.push_to_hub(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/datasets/dataset_dict.py", line 1641, in push_to_hub
repo_id, split, uploaded_size, dataset_nbytes, _, _ = self[split]._push_parquet_shards_to_hub(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/datasets/arrow_dataset.py", line 5308, in _push_parquet_shards_to_hub
_retry(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 290, in _retry
return func(*func_args, **func_kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 828, in _inner
return fn(self, *args, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 3221, in upload_file
commit_info = self.create_commit(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 828, in _inner
return fn(self, *args, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 2695, in create_commit
upload_lfs_files(
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/_commit_api.py", line 393, in upload_lfs_files
_wrapped_lfs_upload(filtered_actions[0])
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/site-packages/huggingface_hub/_commit_api.py", line 385, in _wrapped_lfs_upload
raise RuntimeError(f"Error while uploading '{operation.path_in_repo}' to the Hub.") from exc
RuntimeError: Error while uploading 'batch_19/train-00054-of-00171-932beb4082c034bf.parquet' to the Hub.
```
The function should retry if the operations fails, or at least offer a way to recover after such a failure.
Right now, calling the function again will start sending all the parquets files leading to duplicates in the repository, with no guarantee that it will actually be pushed.
Previously, it would crash with an error 400 #4677 .
### Steps to reproduce the bug
Any large dataset pushed the hub:
```py
audio_dataset.push_to_hub(
repo_id="org/dataset",
)
```
### Expected behavior
`push_to_hub` should have an option for max retries or resume.
### Environment info
- `datasets` version: 2.14.6
- Platform: Linux-5.15.0-1044-aws-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.4
- PyArrow version: 13.0.0
- Pandas version: 2.0.3
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6392/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6392/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6389
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6389/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6389/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6389/events
|
https://github.com/huggingface/datasets/issues/6389
| 1,983,545,744
|
I_kwDODunzps52OoGQ
| 6,389
|
Index 339 out of range for dataset of size 339 <-- save_to_file()
|
{
"login": "jaggzh",
"id": 20318973,
"node_id": "MDQ6VXNlcjIwMzE4OTcz",
"avatar_url": "https://avatars.githubusercontent.com/u/20318973?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jaggzh",
"html_url": "https://github.com/jaggzh",
"followers_url": "https://api.github.com/users/jaggzh/followers",
"following_url": "https://api.github.com/users/jaggzh/following{/other_user}",
"gists_url": "https://api.github.com/users/jaggzh/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jaggzh/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jaggzh/subscriptions",
"organizations_url": "https://api.github.com/users/jaggzh/orgs",
"repos_url": "https://api.github.com/users/jaggzh/repos",
"events_url": "https://api.github.com/users/jaggzh/events{/privacy}",
"received_events_url": "https://api.github.com/users/jaggzh/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 2
| 2023-11-08T12:52:09
| 2023-11-24T09:14:13
| null |
NONE
| null | null | null |
### Describe the bug
When saving out some Audio() data.
The data is audio recordings with associated 'sentences'.
(They use the audio 'bytes' approach because they're clips within audio files).
Code is below the traceback (I can't upload the voice audio/text (it's not even me)).
```
Traceback (most recent call last):
File "/mnt/ddrive/prj/voice/voice-training-dataset-create/./dataset.py", line 156, in <module>
create_dataset(args)
File "/mnt/ddrive/prj/voice/voice-training-dataset-create/./dataset.py", line 138, in create_dataset
hf_dataset.save_to_disk(args.outds, max_shard_size='50MB')
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 1531, in save_to_disk
for kwargs in kwargs_per_job:
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 1508, in <genexpr>
"shard": self.shard(num_shards=num_shards, index=shard_idx, contiguous=True),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 4609, in shard
return self.select(
^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 556, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/fingerprint.py", line 511, in wrapper
out = func(dataset, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 3797, in select
return self._select_contiguous(start, length, new_fingerprint=new_fingerprint)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 556, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/fingerprint.py", line 511, in wrapper
out = func(dataset, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 3857, in _select_contiguous
_check_valid_indices_value(start, len(self))
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 648, in _check_valid_indices_value
raise IndexError(f"Index {index} out of range for dataset of size {size}.")
IndexError: Index 339 out of range for dataset of size 339.
```
### Steps to reproduce the bug
(I had to set the default max batch size down due to a different bug... or maybe it's related: https://github.com/huggingface/datasets/issues/5717)
```python3
#!/usr/bin/env python3
import argparse
import os
from pathlib import Path
import soundfile as sf
import datasets
datasets.config.DEFAULT_MAX_BATCH_SIZE=35
from datasets import Features, Array2D, Value, Dataset, Sequence, Audio
import numpy as np
import librosa
import sys
import soundfile as sf
import io
import logging
logging.basicConfig(level=logging.DEBUG, filename='debug.log', filemode='w',
format='%(name)s - %(levelname)s - %(message)s')
# Define the arguments for the command-line interface
def parse_args():
parser = argparse.ArgumentParser(description="Create a Huggingface dataset from labeled audio files.")
parser.add_argument("--indir_labeled", action="append", help="Directory containing labeled audio files.", required=True)
parser.add_argument("--outds", help="Path to save the dataset file.", required=True)
parser.add_argument("--max_clips", type=int, help="Max count of audio samples to add to the dataset.", default=None)
parser.add_argument("-r", "--sr", type=int, help="Sample rate for the audio files.", default=16000)
parser.add_argument("--no-resample", action="store_true", help="Disable resampling of the audio files.")
parser.add_argument("--max_clip_secs", type=float, help="Max length of audio clips in seconds.", default=3.0)
parser.add_argument("-v", "--verbose", action='count', default=1, help="Increase verbosity")
return parser.parse_args()
# Convert the NumPy arrays to audio bytes in WAV format
def numpy_to_bytes(audio_array, sampling_rate=16000):
with io.BytesIO() as bytes_io:
sf.write(bytes_io, audio_array, samplerate=sampling_rate,
format='wav', subtype='FLOAT') # float32
return bytes_io.getvalue()
# Function to find audio and label files in a directory
def find_audio_label_pairs(indir_labeled):
audio_label_pairs = []
for root, _, files in os.walk(indir_labeled):
for file in files:
if file.endswith(('.mp3', '.wav', '.aac', '.flac')):
audio_path = Path(root) / file
if args.verbose>1:
print(f'File: {audio_path}')
label_path = audio_path.with_suffix('.labels.txt')
if label_path.exists():
if args.verbose>0:
print(f' Pair: {audio_path}')
audio_label_pairs.append((audio_path, label_path))
return audio_label_pairs
def process_audio_label_pair(audio_path, label_path, sampling_rate, no_resample, max_clip_secs):
# Read the label file
with open(label_path, 'r') as label_file:
labels = label_file.readlines()
# Load the full audio file
full_audio, current_sr = sf.read(audio_path)
if not no_resample and current_sr != sampling_rate:
# You can use librosa.resample here if librosa is available
full_audio = librosa.resample(full_audio, orig_sr=current_sr, target_sr=sampling_rate)
audio_segments = []
sentences = []
# Process each label
for label in labels:
start_secs, end_secs, label_text = label.strip().split('\t')
start_sample = int(float(start_secs) * sampling_rate)
end_sample = int(float(end_secs) * sampling_rate)
# Extract segment and truncate or pad to max_clip_secs
audio_segment = full_audio[start_sample:end_sample]
max_samples = int(max_clip_secs * sampling_rate)
if len(audio_segment) > max_samples: # Truncate
audio_segment = audio_segment[:max_samples]
elif len(audio_segment) < max_samples: # Pad
padding = np.zeros(max_samples - len(audio_segment), dtype=audio_segment.dtype)
audio_segment = np.concatenate((audio_segment, padding))
audio_segment = numpy_to_bytes(audio_segment)
audio_data = {
'path': str(audio_path),
'bytes': audio_segment,
}
audio_segments.append(audio_data)
sentences.append(label_text)
return audio_segments, sentences
# Main function to create the dataset
def create_dataset(args):
audio_label_pairs = []
for indir in args.indir_labeled:
audio_label_pairs.extend(find_audio_label_pairs(indir))
# Initialize our dataset data
dataset_data = {
'path': [], # This will be a list of strings
'audio': [], # This will be a list of dictionaries
'sentence': [], # This will be a list of strings
}
# Process each audio-label pair and add the data to the dataset
for audio_path, label_path in audio_label_pairs[:args.max_clips]:
audio_segments, sentences = process_audio_label_pair(audio_path, label_path, args.sr, args.no_resample, args.max_clip_secs)
if audio_segments and sentences:
for audio_data, sentence in zip(audio_segments, sentences):
if args.verbose>1:
print(f'Appending {audio_data["path"]}')
dataset_data['path'].append(audio_data['path'])
dataset_data['audio'].append({
'path': audio_data['path'],
'bytes': audio_data['bytes'],
})
dataset_data['sentence'].append(sentence)
features = Features({
'path': Value('string'), # Path is redundant in common voice set also
'audio': Audio(sampling_rate=16000),
'sentence': Value('string'),
})
hf_dataset = Dataset.from_dict(dataset_data, features=features)
for key in dataset_data:
for i, item in enumerate(dataset_data[key]):
if item is None or (isinstance(item, bytes) and len(item) == 0):
logging.error(f"Invalid {key} at index {i}: {item}")
import ipdb; ipdb.set_trace(context=16); pass
hf_dataset.save_to_disk(args.outds, max_shard_size='50MB')
# try:
# hf_dataset.save_to_disk(args.outds)
# except TypeError as e:
# # If there's a TypeError, log the exception and the dataset data that might have caused it
# logging.exception("An error occurred while saving the dataset.")
# import ipdb; ipdb.set_trace(context=16); pass
# for key in dataset_data:
# logging.debug(f"{key} length: {len(dataset_data[key])}")
# if key == 'audio':
# # Log the first 100 bytes of the audio data to avoid huge log files
# for i, audio in enumerate(dataset_data[key]):
# logging.debug(f"Audio {i}: {audio['bytes'][:100]}")
# raise
# Run the script
if __name__ == "__main__":
args = parse_args()
create_dataset(args)
```
### Expected behavior
It shouldn't fail.
### Environment info
- `datasets` version: 2.14.7.dev0
- Platform: Linux-6.1.0-13-amd64-x86_64-with-glibc2.36
- Python version: 3.11.2
- `huggingface_hub` version: 0.17.3
- PyArrow version: 13.0.0
- Pandas version: 2.1.2
- `fsspec` version: 2023.9.2
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6389/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6389/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6388
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6388/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6388/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6388/events
|
https://github.com/huggingface/datasets/issues/6388
| 1,981,136,093
|
I_kwDODunzps52Fbzd
| 6,388
|
How to create 3d medical imgae dataset?
|
{
"login": "QingYunA",
"id": 41177312,
"node_id": "MDQ6VXNlcjQxMTc3MzEy",
"avatar_url": "https://avatars.githubusercontent.com/u/41177312?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/QingYunA",
"html_url": "https://github.com/QingYunA",
"followers_url": "https://api.github.com/users/QingYunA/followers",
"following_url": "https://api.github.com/users/QingYunA/following{/other_user}",
"gists_url": "https://api.github.com/users/QingYunA/gists{/gist_id}",
"starred_url": "https://api.github.com/users/QingYunA/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/QingYunA/subscriptions",
"organizations_url": "https://api.github.com/users/QingYunA/orgs",
"repos_url": "https://api.github.com/users/QingYunA/repos",
"events_url": "https://api.github.com/users/QingYunA/events{/privacy}",
"received_events_url": "https://api.github.com/users/QingYunA/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 0
| 2023-11-07T11:27:36
| 2023-11-07T11:28:53
| null |
NONE
| null | null | null |
### Feature request
I am newer to huggingface, after i look up `datasets` docs, I can't find how to create the dataset contains 3d medical image (ends with '.mhd', '.dcm', '.nii')
### Motivation
help us to upload 3d medical dataset to huggingface!
### Your contribution
I'll submit a PR if I find a way to add this feature
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6388/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6388/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6387
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6387/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6387/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6387/events
|
https://github.com/huggingface/datasets/issues/6387
| 1,980,224,020
|
I_kwDODunzps52B9IU
| 6,387
|
How to load existing downloaded dataset ?
|
{
"login": "liming-ai",
"id": 73068772,
"node_id": "MDQ6VXNlcjczMDY4Nzcy",
"avatar_url": "https://avatars.githubusercontent.com/u/73068772?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/liming-ai",
"html_url": "https://github.com/liming-ai",
"followers_url": "https://api.github.com/users/liming-ai/followers",
"following_url": "https://api.github.com/users/liming-ai/following{/other_user}",
"gists_url": "https://api.github.com/users/liming-ai/gists{/gist_id}",
"starred_url": "https://api.github.com/users/liming-ai/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/liming-ai/subscriptions",
"organizations_url": "https://api.github.com/users/liming-ai/orgs",
"repos_url": "https://api.github.com/users/liming-ai/repos",
"events_url": "https://api.github.com/users/liming-ai/events{/privacy}",
"received_events_url": "https://api.github.com/users/liming-ai/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
| null |
[] | null | 1
| 2023-11-06T22:51:44
| 2023-11-16T18:07:01
| 2023-11-16T18:07:01
|
NONE
| null | null | null |
Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
-data
|-data_name
|-test-00000-of-00001-bf4c733542e35fcb.parquet
|-train-00000-of-00001-2a1df75c6bce91ab.parquet
```
Then I use SCP to clone this dataset into another machine, and then try:
```
from datasets import load_dataset
dataset = load_dataset('data/data_name') # load from local path
```
This leads to re-generating training and validation split for each time, and the disk quota will be duplicated occupation.
How can I just load the dataset without generating and saving these splits again?
### Motivation
I do not want to download the same dataset in two machines, scp is much faster and better than HuggingFace API. I hope we can directly load the downloaded datasets (.parquest)
### Your contribution
Please refer to the feature
|
{
"login": "liming-ai",
"id": 73068772,
"node_id": "MDQ6VXNlcjczMDY4Nzcy",
"avatar_url": "https://avatars.githubusercontent.com/u/73068772?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/liming-ai",
"html_url": "https://github.com/liming-ai",
"followers_url": "https://api.github.com/users/liming-ai/followers",
"following_url": "https://api.github.com/users/liming-ai/following{/other_user}",
"gists_url": "https://api.github.com/users/liming-ai/gists{/gist_id}",
"starred_url": "https://api.github.com/users/liming-ai/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/liming-ai/subscriptions",
"organizations_url": "https://api.github.com/users/liming-ai/orgs",
"repos_url": "https://api.github.com/users/liming-ai/repos",
"events_url": "https://api.github.com/users/liming-ai/events{/privacy}",
"received_events_url": "https://api.github.com/users/liming-ai/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6387/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6387/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6386
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6386/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6386/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6386/events
|
https://github.com/huggingface/datasets/issues/6386
| 1,979,878,014
|
I_kwDODunzps52Aop-
| 6,386
|
Formatting overhead
|
{
"login": "d-miketa",
"id": 320321,
"node_id": "MDQ6VXNlcjMyMDMyMQ==",
"avatar_url": "https://avatars.githubusercontent.com/u/320321?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/d-miketa",
"html_url": "https://github.com/d-miketa",
"followers_url": "https://api.github.com/users/d-miketa/followers",
"following_url": "https://api.github.com/users/d-miketa/following{/other_user}",
"gists_url": "https://api.github.com/users/d-miketa/gists{/gist_id}",
"starred_url": "https://api.github.com/users/d-miketa/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/d-miketa/subscriptions",
"organizations_url": "https://api.github.com/users/d-miketa/orgs",
"repos_url": "https://api.github.com/users/d-miketa/repos",
"events_url": "https://api.github.com/users/d-miketa/events{/privacy}",
"received_events_url": "https://api.github.com/users/d-miketa/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-06T19:06:38
| 2023-11-06T23:56:12
| 2023-11-06T23:56:12
|
NONE
| null | null | null |
### Describe the bug
Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new instances of `self.python_arrow_extractor`. I admit I'm confused why that could be the case - as far as I can tell there's no complex `__init__` logic to execute.
### Steps to reproduce the bug
1. Set up a dataset `ds` with potentially several (4+) columns (not sure if this is necessary, but it did at one point of the investigation make overhead worse)
2. Process it using a custom transform, `ds = ds.with_transform(transform_func)`
3. Decorate this function https://github.com/huggingface/datasets/blob/main/src/datasets/formatting/formatting.py#L512 with `@profile` from https://pypi.org/project/line-profiler/
4. Profile with `$ kernprof -l script_to_profile.py`
### Expected behavior
Batch formatting should have acceptable overhead.
### Environment info
```
datasets=2.14.6
pyarrow=14.0.0
```
|
{
"login": "d-miketa",
"id": 320321,
"node_id": "MDQ6VXNlcjMyMDMyMQ==",
"avatar_url": "https://avatars.githubusercontent.com/u/320321?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/d-miketa",
"html_url": "https://github.com/d-miketa",
"followers_url": "https://api.github.com/users/d-miketa/followers",
"following_url": "https://api.github.com/users/d-miketa/following{/other_user}",
"gists_url": "https://api.github.com/users/d-miketa/gists{/gist_id}",
"starred_url": "https://api.github.com/users/d-miketa/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/d-miketa/subscriptions",
"organizations_url": "https://api.github.com/users/d-miketa/orgs",
"repos_url": "https://api.github.com/users/d-miketa/repos",
"events_url": "https://api.github.com/users/d-miketa/events{/privacy}",
"received_events_url": "https://api.github.com/users/d-miketa/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6386/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6386/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6385
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6385/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6385/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6385/events
|
https://github.com/huggingface/datasets/issues/6385
| 1,979,308,338
|
I_kwDODunzps51-dky
| 6,385
|
Get an error when i try to concatenate the squad dataset with my own dataset
|
{
"login": "CCDXDX",
"id": 149378500,
"node_id": "U_kgDOCOdVxA",
"avatar_url": "https://avatars.githubusercontent.com/u/149378500?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/CCDXDX",
"html_url": "https://github.com/CCDXDX",
"followers_url": "https://api.github.com/users/CCDXDX/followers",
"following_url": "https://api.github.com/users/CCDXDX/following{/other_user}",
"gists_url": "https://api.github.com/users/CCDXDX/gists{/gist_id}",
"starred_url": "https://api.github.com/users/CCDXDX/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/CCDXDX/subscriptions",
"organizations_url": "https://api.github.com/users/CCDXDX/orgs",
"repos_url": "https://api.github.com/users/CCDXDX/repos",
"events_url": "https://api.github.com/users/CCDXDX/events{/privacy}",
"received_events_url": "https://api.github.com/users/CCDXDX/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-06T14:29:22
| 2023-11-06T16:50:45
| 2023-11-06T16:50:45
|
NONE
| null | null | null |
### Describe the bug
Hello,
I'm new here and I need to concatenate the squad dataset with my own dataset i created. I find the following error when i try to do it: Traceback (most recent call last):
Cell In[9], line 1
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
File ~\anaconda3\Lib\site-packages\datasets\combine.py:213 in concatenate_datasets
return _concatenate_map_style_datasets(dsets, info=info, split=split, axis=axis)
File ~\anaconda3\Lib\site-packages\datasets\arrow_dataset.py:6002 in _concatenate_map_style_datasets
_check_if_features_can_be_aligned([dset.features for dset in dsets])
File ~\anaconda3\Lib\site-packages\datasets\features\features.py:2122 in _check_if_features_can_be_aligned
raise ValueError(
ValueError: The features can't be aligned because the key answers of features {'id': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'context': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None)} has unexpected type - Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None) (expected either {'answer_start': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'text': Value(dtype='string', id=None)} or Value("null").
### Steps to reproduce the bug
```python
from huggingface_hub import notebook_login
from datasets import load_dataset
notebook_login("mymailadresse", "mypassword")
squad = load_dataset("squad", split="train[:5000]")
squad = squad.train_test_split(test_size=0.2)
dataset1 = squad["train"]
import json
mybase = [
{
"id": "1",
"context": "She lives in Nantes",
"question": "Where does she live?",
"answers": {
"text": "Nantes",
"answer_start": [13],
}
}
]
# Save the data to a JSON file
json_file_path = r"C:\Users\mypath\thefile.json"
with open(json_file_path, "w", encoding= "utf-8") as json_file:
json.dump(mybase, json_file, indent=4)
# Load the JSON file as a dataset
custom_dataset = load_dataset("json", data_files=json_file_path)
# Access the train split
train_dataset = custom_dataset["train"]
from datasets import concatenate_datasets
# Concatenate the datasets
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
```
### Expected behavior
I would expect the two datasets to be concatenated without error. The len(dataset1) is equal to 4000 and the len(train_dataset) is equal to 1 so I would exepect concatenated_dataset to be created and having lenght 4001.
### Environment info
Python 3.11.4 and using windows
Thank you for your help
|
{
"login": "CCDXDX",
"id": 149378500,
"node_id": "U_kgDOCOdVxA",
"avatar_url": "https://avatars.githubusercontent.com/u/149378500?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/CCDXDX",
"html_url": "https://github.com/CCDXDX",
"followers_url": "https://api.github.com/users/CCDXDX/followers",
"following_url": "https://api.github.com/users/CCDXDX/following{/other_user}",
"gists_url": "https://api.github.com/users/CCDXDX/gists{/gist_id}",
"starred_url": "https://api.github.com/users/CCDXDX/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/CCDXDX/subscriptions",
"organizations_url": "https://api.github.com/users/CCDXDX/orgs",
"repos_url": "https://api.github.com/users/CCDXDX/repos",
"events_url": "https://api.github.com/users/CCDXDX/events{/privacy}",
"received_events_url": "https://api.github.com/users/CCDXDX/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6385/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6385/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6384
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6384/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6384/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6384/events
|
https://github.com/huggingface/datasets/issues/6384
| 1,979,117,069
|
I_kwDODunzps519u4N
| 6,384
|
Load the local dataset folder from other place
|
{
"login": "OrangeSodahub",
"id": 54439582,
"node_id": "MDQ6VXNlcjU0NDM5NTgy",
"avatar_url": "https://avatars.githubusercontent.com/u/54439582?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/OrangeSodahub",
"html_url": "https://github.com/OrangeSodahub",
"followers_url": "https://api.github.com/users/OrangeSodahub/followers",
"following_url": "https://api.github.com/users/OrangeSodahub/following{/other_user}",
"gists_url": "https://api.github.com/users/OrangeSodahub/gists{/gist_id}",
"starred_url": "https://api.github.com/users/OrangeSodahub/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/OrangeSodahub/subscriptions",
"organizations_url": "https://api.github.com/users/OrangeSodahub/orgs",
"repos_url": "https://api.github.com/users/OrangeSodahub/repos",
"events_url": "https://api.github.com/users/OrangeSodahub/events{/privacy}",
"received_events_url": "https://api.github.com/users/OrangeSodahub/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-11-06T13:07:04
| 2023-11-19T05:42:06
| 2023-11-19T05:42:05
|
NONE
| null | null | null |
This is from https://github.com/huggingface/diffusers/issues/5573
|
{
"login": "OrangeSodahub",
"id": 54439582,
"node_id": "MDQ6VXNlcjU0NDM5NTgy",
"avatar_url": "https://avatars.githubusercontent.com/u/54439582?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/OrangeSodahub",
"html_url": "https://github.com/OrangeSodahub",
"followers_url": "https://api.github.com/users/OrangeSodahub/followers",
"following_url": "https://api.github.com/users/OrangeSodahub/following{/other_user}",
"gists_url": "https://api.github.com/users/OrangeSodahub/gists{/gist_id}",
"starred_url": "https://api.github.com/users/OrangeSodahub/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/OrangeSodahub/subscriptions",
"organizations_url": "https://api.github.com/users/OrangeSodahub/orgs",
"repos_url": "https://api.github.com/users/OrangeSodahub/repos",
"events_url": "https://api.github.com/users/OrangeSodahub/events{/privacy}",
"received_events_url": "https://api.github.com/users/OrangeSodahub/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6384/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6384/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6383
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6383/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6383/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6383/events
|
https://github.com/huggingface/datasets/issues/6383
| 1,978,189,389
|
I_kwDODunzps516MZN
| 6,383
|
imagenet-1k downloads over and over
|
{
"login": "seann999",
"id": 6847529,
"node_id": "MDQ6VXNlcjY4NDc1Mjk=",
"avatar_url": "https://avatars.githubusercontent.com/u/6847529?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/seann999",
"html_url": "https://github.com/seann999",
"followers_url": "https://api.github.com/users/seann999/followers",
"following_url": "https://api.github.com/users/seann999/following{/other_user}",
"gists_url": "https://api.github.com/users/seann999/gists{/gist_id}",
"starred_url": "https://api.github.com/users/seann999/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/seann999/subscriptions",
"organizations_url": "https://api.github.com/users/seann999/orgs",
"repos_url": "https://api.github.com/users/seann999/repos",
"events_url": "https://api.github.com/users/seann999/events{/privacy}",
"received_events_url": "https://api.github.com/users/seann999/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-11-06T02:58:58
| 2024-06-12T13:15:00
| 2023-11-06T06:02:39
|
NONE
| null | null | null |
### Describe the bug
What could be causing this?
```
$ python3
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> load_dataset("imagenet-1k")
Downloading builder script: 100%|██████████| 4.72k/4.72k [00:00<00:00, 7.51MB/s]
Downloading readme: 100%|███████████████████| 85.4k/85.4k [00:00<00:00, 510kB/s]
Downloading extra modules: 100%|████████████| 46.4k/46.4k [00:00<00:00, 300kB/s]
Downloading data: 100%|████████████████████| 29.1G/29.1G [19:36<00:00, 24.8MB/s]
Downloading data: 100%|████████████████████| 29.3G/29.3G [08:38<00:00, 56.5MB/s]
Downloading data: 100%|████████████████████| 29.0G/29.0G [09:26<00:00, 51.2MB/s]
Downloading data: 100%|████████████████████| 29.2G/29.2G [09:38<00:00, 50.6MB/s]
Downloading data: 100%|███████████████████▉| 29.2G/29.2G [09:37<00:00, 44.1MB/s^Downloading data: 0%| | 106M/29.1G [00:05<23:49, 20.3MB/s]
```
### Steps to reproduce the bug
See above commands/code
### Expected behavior
imagenet-1k is downloaded
### Environment info
- `datasets` version: 2.14.6
- Platform: Linux-6.2.0-34-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.15.1
- PyArrow version: 14.0.0
- Pandas version: 1.5.2
|
{
"login": "seann999",
"id": 6847529,
"node_id": "MDQ6VXNlcjY4NDc1Mjk=",
"avatar_url": "https://avatars.githubusercontent.com/u/6847529?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/seann999",
"html_url": "https://github.com/seann999",
"followers_url": "https://api.github.com/users/seann999/followers",
"following_url": "https://api.github.com/users/seann999/following{/other_user}",
"gists_url": "https://api.github.com/users/seann999/gists{/gist_id}",
"starred_url": "https://api.github.com/users/seann999/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/seann999/subscriptions",
"organizations_url": "https://api.github.com/users/seann999/orgs",
"repos_url": "https://api.github.com/users/seann999/repos",
"events_url": "https://api.github.com/users/seann999/events{/privacy}",
"received_events_url": "https://api.github.com/users/seann999/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6383/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6383/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6382
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6382/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6382/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6382/events
|
https://github.com/huggingface/datasets/issues/6382
| 1,977,400,799
|
I_kwDODunzps513L3f
| 6,382
|
Add CheXpert dataset for vision
|
{
"login": "SauravMaheshkar",
"id": 61241031,
"node_id": "MDQ6VXNlcjYxMjQxMDMx",
"avatar_url": "https://avatars.githubusercontent.com/u/61241031?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/SauravMaheshkar",
"html_url": "https://github.com/SauravMaheshkar",
"followers_url": "https://api.github.com/users/SauravMaheshkar/followers",
"following_url": "https://api.github.com/users/SauravMaheshkar/following{/other_user}",
"gists_url": "https://api.github.com/users/SauravMaheshkar/gists{/gist_id}",
"starred_url": "https://api.github.com/users/SauravMaheshkar/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/SauravMaheshkar/subscriptions",
"organizations_url": "https://api.github.com/users/SauravMaheshkar/orgs",
"repos_url": "https://api.github.com/users/SauravMaheshkar/repos",
"events_url": "https://api.github.com/users/SauravMaheshkar/events{/privacy}",
"received_events_url": "https://api.github.com/users/SauravMaheshkar/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
},
{
"id": 2067376369,
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request",
"name": "dataset request",
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset"
}
] |
open
| false
| null |
[] | null | 3
| 2023-11-04T15:36:11
| 2024-01-10T11:53:52
| null |
NONE
| null | null | null |
### Feature request
### Name
**CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison**
### Paper
https://arxiv.org/abs/1901.07031
### Data
https://stanfordaimi.azurewebsites.net/datasets/8cbd9ed4-2eb9-4565-affc-111cf4f7ebe2
### Motivation
CheXpert is one of the fundamental models in medical image classification and can serve as a viable pre-training dataset for radiology classification or low-scale ablation / exploratory studies.
This could also serve as a good pre-training dataset for Kaggle competitions.
### Your contribution
Would love to make a PR and pre-process / get this into 🤗
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6382/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6382/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6377
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6377/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6377/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6377/events
|
https://github.com/huggingface/datasets/issues/6377
| 1,973,937,612
|
I_kwDODunzps51p-XM
| 6,377
|
Support pyarrow 14.0.0
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 0
| 2023-11-02T10:22:08
| 2023-11-02T15:15:45
| 2023-11-02T15:15:45
|
MEMBER
| null | null | null |
Support pyarrow 14.0.0 by fixing the root cause of:
- #6374
and revert:
- #6375
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6377/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6377/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6376
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6376/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6376/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6376/events
|
https://github.com/huggingface/datasets/issues/6376
| 1,973,927,468
|
I_kwDODunzps51p74s
| 6,376
|
Caching problem when deleting a dataset
|
{
"login": "clefourrier",
"id": 22726840,
"node_id": "MDQ6VXNlcjIyNzI2ODQw",
"avatar_url": "https://avatars.githubusercontent.com/u/22726840?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/clefourrier",
"html_url": "https://github.com/clefourrier",
"followers_url": "https://api.github.com/users/clefourrier/followers",
"following_url": "https://api.github.com/users/clefourrier/following{/other_user}",
"gists_url": "https://api.github.com/users/clefourrier/gists{/gist_id}",
"starred_url": "https://api.github.com/users/clefourrier/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/clefourrier/subscriptions",
"organizations_url": "https://api.github.com/users/clefourrier/orgs",
"repos_url": "https://api.github.com/users/clefourrier/repos",
"events_url": "https://api.github.com/users/clefourrier/events{/privacy}",
"received_events_url": "https://api.github.com/users/clefourrier/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-02T10:15:58
| 2023-12-04T16:53:34
| 2023-12-04T16:53:33
|
MEMBER
| null | null | null |
### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update your local dataset to have n + m features per row
5. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)` will fail because of a mismatch in features number
### Expected behavior
Step 5 should work or display a message to indicate the cache has not been cleared
### Environment info
- `datasets` version: 2.12.0
- Platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.16.4
- PyArrow version: 11.0.0
- Pandas version: 2.0.0
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6376/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6376/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6374
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6374/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6374/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6374/events
|
https://github.com/huggingface/datasets/issues/6374
| 1,973,857,428
|
I_kwDODunzps51pqyU
| 6,374
|
CI is broken: TypeError: Couldn't cast array
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 0
| 2023-11-02T09:37:06
| 2023-11-02T10:11:20
| 2023-11-02T10:11:20
|
MEMBER
| null | null | null |
See: https://github.com/huggingface/datasets/actions/runs/6730567226/job/18293518039
```
FAILED tests/test_table.py::test_cast_sliced_fixed_size_array_to_features - TypeError: Couldn't cast array of type
fixed_size_list<item: int32>[3]
to
Sequence(feature=Value(dtype='int64', id=None), length=3, id=None)
```
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6374/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6374/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6371
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6371/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6371/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6371/events
|
https://github.com/huggingface/datasets/issues/6371
| 1,972,807,579
|
I_kwDODunzps51lqeb
| 6,371
|
`Dataset.from_generator` should not try to download from HF GCS
|
{
"login": "yundai424",
"id": 43726198,
"node_id": "MDQ6VXNlcjQzNzI2MTk4",
"avatar_url": "https://avatars.githubusercontent.com/u/43726198?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yundai424",
"html_url": "https://github.com/yundai424",
"followers_url": "https://api.github.com/users/yundai424/followers",
"following_url": "https://api.github.com/users/yundai424/following{/other_user}",
"gists_url": "https://api.github.com/users/yundai424/gists{/gist_id}",
"starred_url": "https://api.github.com/users/yundai424/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yundai424/subscriptions",
"organizations_url": "https://api.github.com/users/yundai424/orgs",
"repos_url": "https://api.github.com/users/yundai424/repos",
"events_url": "https://api.github.com/users/yundai424/events{/privacy}",
"received_events_url": "https://api.github.com/users/yundai424/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-11-01T17:36:17
| 2023-11-02T15:52:10
| 2023-11-02T15:52:10
|
CONTRIBUTOR
| null | null | null |
### Describe the bug
When using [`Dataset.from_generator`](https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/arrow_dataset.py#L1072) with `streaming=False`, the internal logic will call [`download_and_prepare`](https://github.com/huggingface/datasets/blob/main/src/datasets/io/generator.py#L47) which will attempt to download from HF GCS which is redundant, because user has already provided the generator from which the data should be drawn.
If someone attempts to call `Dataset.from_generator` from an environment that doesn't have external internet access (for example internal production machine) and doesn't set `HF_DATASETS_OFFLINE=1`, this will result in process being stuck at building connection.
### Steps to reproduce the bug
```python
import datasets
def gen():
for _ in range(100):
yield {"text": "dummy text"}
dataset = datasets.Dataset.from_generator(gen)
```
A minimum example executed on any environment that doesn't have access to HF GCS can result in the error
### Expected behavior
`try_from_hf_gcs` should be set to False here https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/io/generator.py#L51
### Environment info
- `datasets` version: 2.14.4
- Platform: Linux-3.10.0-1160.90.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.10.12
- Huggingface_hub version: 0.17.1
- PyArrow version: 12.0.1
- Pandas version: 2.0.3
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6371/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6371/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6370
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6370/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6370/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6370/events
|
https://github.com/huggingface/datasets/issues/6370
| 1,972,073,909
|
I_kwDODunzps51i3W1
| 6,370
|
TensorDataset format does not work with Trainer from transformers
|
{
"login": "jinzzasol",
"id": 49014051,
"node_id": "MDQ6VXNlcjQ5MDE0MDUx",
"avatar_url": "https://avatars.githubusercontent.com/u/49014051?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jinzzasol",
"html_url": "https://github.com/jinzzasol",
"followers_url": "https://api.github.com/users/jinzzasol/followers",
"following_url": "https://api.github.com/users/jinzzasol/following{/other_user}",
"gists_url": "https://api.github.com/users/jinzzasol/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jinzzasol/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jinzzasol/subscriptions",
"organizations_url": "https://api.github.com/users/jinzzasol/orgs",
"repos_url": "https://api.github.com/users/jinzzasol/repos",
"events_url": "https://api.github.com/users/jinzzasol/events{/privacy}",
"received_events_url": "https://api.github.com/users/jinzzasol/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-11-01T10:09:54
| 2023-11-29T16:31:08
| 2023-11-29T16:31:08
|
NONE
| null | null | null |
### Describe the bug
The model was built to do fine tunning on BERT model for relation extraction.
trainer.train() returns an error message ```TypeError: vars() argument must have __dict__ attribute``` when it has `train_dataset` generated from `torch.utils.data.TensorDataset`
However, in the document, the required data format is `torch.utils.data.TensorDataset`.
Transformers trainer is supposed to accept the train_dataset in the format of torch.utils.data.TensorDataset, but it returns error message *"TypeError: vars() argument must have __dict__ attribute"*
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-30-5df728c929a2> in <cell line: 1>()
----> 1 trainer.train()
2 trainer.evaluate(test_dataset)
9 frames
/usr/local/lib/python3.10/dist-packages/transformers/data/data_collator.py in <listcomp>(.0)
107
108 if not isinstance(features[0], Mapping):
--> 109 features = [vars(f) for f in features]
110 first = features[0]
111 batch = {}
TypeError: vars() argument must have __dict__ attribute
```
### Steps to reproduce the bug
Create train_dataset using `torch.utils.data.TensorDataset`, for instance,
```train_dataset = torch.utils.data.TensorDataset(train_input_ids, train_attention_masks, train_labels)```
Feed this `train_dataset` to your trainer and run trainer.train
```
trainer = Trainer(model,
training_args,
train_dataset=train_dataset,
eval_dataset=dev_dataset,
compute_metrics=compute_metrics,
)
```
### Expected behavior
Trainer should start training
### Environment info
It is running on Google Colab
- `datasets` version: 2.14.6
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- PyArrow version: 9.0.0
- Pandas version: 1.5.3
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6370/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6370/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6369
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6369/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6369/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6369/events
|
https://github.com/huggingface/datasets/issues/6369
| 1,971,794,108
|
I_kwDODunzps51hzC8
| 6,369
|
Multi process map did not load cache file correctly
|
{
"login": "enze5088",
"id": 14285786,
"node_id": "MDQ6VXNlcjE0Mjg1Nzg2",
"avatar_url": "https://avatars.githubusercontent.com/u/14285786?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/enze5088",
"html_url": "https://github.com/enze5088",
"followers_url": "https://api.github.com/users/enze5088/followers",
"following_url": "https://api.github.com/users/enze5088/following{/other_user}",
"gists_url": "https://api.github.com/users/enze5088/gists{/gist_id}",
"starred_url": "https://api.github.com/users/enze5088/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/enze5088/subscriptions",
"organizations_url": "https://api.github.com/users/enze5088/orgs",
"repos_url": "https://api.github.com/users/enze5088/repos",
"events_url": "https://api.github.com/users/enze5088/events{/privacy}",
"received_events_url": "https://api.github.com/users/enze5088/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-11-01T06:36:54
| 2023-11-30T16:04:46
| 2023-11-30T16:04:45
|
NONE
| null | null | null |
### Describe the bug
When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
Code is modified from [run_clm.py](https://github.com/huggingface/transformers/blob/7d8ff3629b2725ec43ace99c1a6e87ac1978d433/examples/pytorch/language-modeling/run_clm.py#L484)
### Steps to reproduce the bug
```
block_size = data_args.block_size
IGNORE_INDEX = -100
Ignore_Input = False
def tokenize_function(examples):
sources = []
targets = []
for instruction, inputs, output in zip(examples['instruction'], examples['input'], examples['output']):
source = instruction + inputs
target = f"{output}{tokenizer.eos_token}"
sources.append(source)
targets.append(target)
tokenized_sources = tokenizer(sources, return_attention_mask=False)
tokenized_targets = tokenizer(targets, return_attention_mask=False,
add_special_tokens=False
)
all_input_ids = []
all_labels = []
for s, t in zip(tokenized_sources['input_ids'], tokenized_targets['input_ids']):
if len(s) > block_size and Ignore_Input == False:
# print(s)
continue
input_ids = torch.LongTensor(s + t)[:block_size]
if Ignore_Input:
labels = torch.LongTensor([IGNORE_INDEX] * len(s) + t)[:block_size]
else:
labels = input_ids
assert len(input_ids) == len(labels)
all_input_ids.append(input_ids)
all_labels.append(labels)
results = {
'input_ids': all_input_ids,
'labels': all_labels,
}
return results
with training_args.main_process_first(desc="dataset map tokenization ", local=False):
# print('local_rank',training_args.local_rank)
if not data_args.streaming:
tokenized_datasets = raw_datasets.map(
tokenize_function,
batched=True,
num_proc=data_args.preprocessing_num_workers,
remove_columns=column_names,
load_from_cache_file=not data_args.overwrite_cache,
desc="Running tokenizer on dataset ",
)
else:
tokenized_datasets = raw_datasets.map(
tokenize_function,
batched=True,
remove_columns=column_names,
desc="Running tokenizer on dataset "
)
```
### Expected behavior
This code should only tokenize the dataset in the main process, and the other processes load the dataset after waiting
### Environment info
transformers == 4.34.1
datasets == 2.14.5
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6369/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6369/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6366
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6366/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6366/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6366/events
|
https://github.com/huggingface/datasets/issues/6366
| 1,970,213,490
|
I_kwDODunzps51bxJy
| 6,366
|
with_format() function returns bytes instead of PIL images even when image column is not part of "columns"
|
{
"login": "leot13",
"id": 17809020,
"node_id": "MDQ6VXNlcjE3ODA5MDIw",
"avatar_url": "https://avatars.githubusercontent.com/u/17809020?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/leot13",
"html_url": "https://github.com/leot13",
"followers_url": "https://api.github.com/users/leot13/followers",
"following_url": "https://api.github.com/users/leot13/following{/other_user}",
"gists_url": "https://api.github.com/users/leot13/gists{/gist_id}",
"starred_url": "https://api.github.com/users/leot13/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/leot13/subscriptions",
"organizations_url": "https://api.github.com/users/leot13/orgs",
"repos_url": "https://api.github.com/users/leot13/repos",
"events_url": "https://api.github.com/users/leot13/events{/privacy}",
"received_events_url": "https://api.github.com/users/leot13/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-10-31T11:10:48
| 2023-11-02T14:21:17
| 2023-11-02T14:21:17
|
NONE
| null | null | null |
### Describe the bug
When using the with_format() function on a dataset containing images, even if the image column is not part of the columns provided in the function, its type will be changed to bytes.
Here is a minimal reproduction of the bug:
https://colab.research.google.com/drive/1hyaOspgyhB41oiR1-tXE3k_gJCdJUQCf?usp=sharing
### Steps to reproduce the bug
1. Load the image dataset
2. apply with_format(columns=["text"])
3. Check the type of images in the "image" column before and after applying with_format
### Expected behavior
The type should stay the same, but it does not
### Environment info
datasets==2.14.6
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6366/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6366/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6365
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6365/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6365/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6365/events
|
https://github.com/huggingface/datasets/issues/6365
| 1,970,140,392
|
I_kwDODunzps51bfTo
| 6,365
|
Parquet size grows exponential for categorical data
|
{
"login": "aseganti",
"id": 82567957,
"node_id": "MDQ6VXNlcjgyNTY3OTU3",
"avatar_url": "https://avatars.githubusercontent.com/u/82567957?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/aseganti",
"html_url": "https://github.com/aseganti",
"followers_url": "https://api.github.com/users/aseganti/followers",
"following_url": "https://api.github.com/users/aseganti/following{/other_user}",
"gists_url": "https://api.github.com/users/aseganti/gists{/gist_id}",
"starred_url": "https://api.github.com/users/aseganti/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/aseganti/subscriptions",
"organizations_url": "https://api.github.com/users/aseganti/orgs",
"repos_url": "https://api.github.com/users/aseganti/repos",
"events_url": "https://api.github.com/users/aseganti/events{/privacy}",
"received_events_url": "https://api.github.com/users/aseganti/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-10-31T10:29:02
| 2023-10-31T10:49:17
| 2023-10-31T10:49:17
|
NONE
| null | null | null |
### Describe the bug
It seems that when saving a data frame with a categorical column inside the size can grow exponentially.
This seems to happen because when we save the categorical data to parquet, we are saving the data + all the categories existing in the original data. This happens even when the categories are not present in the original data.
### Steps to reproduce the bug
To reproduce the bug, it is enough to run this script:
```
import pandas as pd
import os
if __name__ == "__main__":
for n in [10, 1e2, 1e3, 1e4, 1e5]:
for n_col in [1, 10, 100, 1000, 10000]:
input = pd.DataFrame([{"{i}": f"{i}_cat" for col in range(n_col)} for i in range(int(n))])
input.iloc[0:100].to_parquet("a.parquet")
for col in input.columns:
input[col] = input[col].astype("category")
input.iloc[0:100].to_parquet("b.parquet")
a_size_mb = os.stat("a.parquet").st_size / (1024 * 1024)
b_size_mb = os.stat("b.parquet").st_size / (1024 * 1024)
print(f"{n} {n_col} {a_size_mb} {b_size_mb} {100*b_size_mb/a_size_mb:.2f}")
```
That produces this output:
<img width="464" alt="Screenshot 2023-10-31 at 11 25 25" src="https://github.com/huggingface/datasets/assets/82567957/2b8a9284-7f9e-4c10-a006-0a27236ebd15">
### Expected behavior
In my opinion either:
1. The two file should have (almost) the same size
2. There should be warning telling the user that such difference in size is possible
### Environment info
Python 3.8.18
pandas==2.0.3
numpy==1.24.4
|
{
"login": "aseganti",
"id": 82567957,
"node_id": "MDQ6VXNlcjgyNTY3OTU3",
"avatar_url": "https://avatars.githubusercontent.com/u/82567957?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/aseganti",
"html_url": "https://github.com/aseganti",
"followers_url": "https://api.github.com/users/aseganti/followers",
"following_url": "https://api.github.com/users/aseganti/following{/other_user}",
"gists_url": "https://api.github.com/users/aseganti/gists{/gist_id}",
"starred_url": "https://api.github.com/users/aseganti/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/aseganti/subscriptions",
"organizations_url": "https://api.github.com/users/aseganti/orgs",
"repos_url": "https://api.github.com/users/aseganti/repos",
"events_url": "https://api.github.com/users/aseganti/events{/privacy}",
"received_events_url": "https://api.github.com/users/aseganti/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6365/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6365/timeline
| null |
not_planned
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6364
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6364/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6364/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6364/events
|
https://github.com/huggingface/datasets/issues/6364
| 1,969,136,106
|
I_kwDODunzps51XqHq
| 6,364
|
ArrowNotImplementedError: Unsupported cast from string to list using function cast_list
|
{
"login": "divyakrishna-devisetty",
"id": 32887094,
"node_id": "MDQ6VXNlcjMyODg3MDk0",
"avatar_url": "https://avatars.githubusercontent.com/u/32887094?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/divyakrishna-devisetty",
"html_url": "https://github.com/divyakrishna-devisetty",
"followers_url": "https://api.github.com/users/divyakrishna-devisetty/followers",
"following_url": "https://api.github.com/users/divyakrishna-devisetty/following{/other_user}",
"gists_url": "https://api.github.com/users/divyakrishna-devisetty/gists{/gist_id}",
"starred_url": "https://api.github.com/users/divyakrishna-devisetty/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/divyakrishna-devisetty/subscriptions",
"organizations_url": "https://api.github.com/users/divyakrishna-devisetty/orgs",
"repos_url": "https://api.github.com/users/divyakrishna-devisetty/repos",
"events_url": "https://api.github.com/users/divyakrishna-devisetty/events{/privacy}",
"received_events_url": "https://api.github.com/users/divyakrishna-devisetty/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-10-30T20:14:01
| 2023-10-31T19:21:23
| 2023-10-31T19:21:23
|
NONE
| null | null | null |
Hi,
I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
"what is abc?" | "abc is this and that" | "abc is this " | "abc is this and that"
```
import csv
# built it based on https://huggingface.co/datasets/explodinggradients/fiqa/viewer/ragas_eval?row=0
mydict = [
{'question' : "what is abc?", 'contexts': ["abc is this and that"], 'answer': "abc is this " , 'groundtruth': ["abc is this and that"]},
{'question' : "what is abc?", 'contexts': ["abc is this and that"], 'answer': "abc is this " , 'groundtruth': ["abc is this and that"]},
{'question' : "what is abc?", 'contexts': ["abc is this and that"], 'answer': "abc is this " , 'groundtruth': ["abc is this and that"]}
]
fields = ['question', 'contexts', 'answer', 'ground_truths']
with open('golden_dataset.csv', 'w', newline='\n') as file:
writer = csv.DictWriter(file, fieldnames = fields)
writer.writeheader()
for row in mydict:
writer.writerow(row)
```
Retrieved dataset:
DatasetDict({
train: Dataset({
features: ['question', 'contexts', 'answer', 'ground_truths'],
num_rows: 1
})
})
Code to reproduce issue:
```
from datasets import load_dataset, Features, Sequence, Value
encode_features = Features(
{
"question": Value(dtype='string', id=0),
"contexts": Sequence(feature=Value(dtype='string', id=1)),
"answer": Value(dtype='string', id=2),
"ground_truths": Sequence(feature=Value(dtype='string',id=3)),
}
)
eval_dataset = load_dataset('csv', data_files='/golden_dataset.csv', features = encode_features )
```
Error trace:
```
---------------------------------------------------------------------------
ArrowNotImplementedError Traceback (most recent call last)
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/builder.py:1925, in ArrowBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
1924 _time = time.time()
-> 1925 for _, table in generator:
1926 if max_shard_size is not None and writer._num_bytes > max_shard_size:
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/packaged_modules/csv/csv.py:192, in Csv._generate_tables(self, files)
189 # Uncomment for debugging (will print the Arrow table size and elements)
190 # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
191 # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
--> 192 yield (file_idx, batch_idx), self._cast_table(pa_table)
193 except ValueError as e:
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/packaged_modules/csv/csv.py:167, in Csv._cast_table(self, pa_table)
165 if all(not require_storage_cast(feature) for feature in self.config.features.values()):
166 # cheaper cast
--> 167 pa_table = pa.Table.from_arrays([pa_table[field.name] for field in schema], schema=schema)
168 else:
169 # more expensive cast; allows str <-> int/float or str to Audio for example
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/table.pxi:3781, in pyarrow.lib.Table.from_arrays()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/table.pxi:1449, in pyarrow.lib._sanitize_arrays()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/array.pxi:354, in pyarrow.lib.asarray()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/table.pxi:551, in pyarrow.lib.ChunkedArray.cast()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/compute.py:400, in cast(arr, target_type, safe, options, memory_pool)
399 options = CastOptions.safe(target_type)
--> 400 return call_function("cast", [arr], options, memory_pool)
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/_compute.pyx:572, in pyarrow._compute.call_function()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/_compute.pyx:367, in pyarrow._compute.Function.call()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/error.pxi:144, in pyarrow.lib.pyarrow_internal_check_status()
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pyarrow/error.pxi:121, in pyarrow.lib.check_status()
ArrowNotImplementedError: Unsupported cast from string to list using function cast_list
The above exception was the direct cause of the following exception:
DatasetGenerationError Traceback (most recent call last)
Cell In[57], line 1
----> 1 eval_dataset = load_dataset('csv', data_files='/golden_dataset.csv', features = encode_features )
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/load.py:2153, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)
2150 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
2152 # Download and prepare data
-> 2153 builder_instance.download_and_prepare(
2154 download_config=download_config,
2155 download_mode=download_mode,
2156 verification_mode=verification_mode,
2157 try_from_hf_gcs=try_from_hf_gcs,
2158 num_proc=num_proc,
2159 storage_options=storage_options,
2160 )
2162 # Build dataset for splits
2163 keep_in_memory = (
2164 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
2165 )
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/builder.py:954, in DatasetBuilder.download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
952 if num_proc is not None:
953 prepare_split_kwargs["num_proc"] = num_proc
--> 954 self._download_and_prepare(
955 dl_manager=dl_manager,
956 verification_mode=verification_mode,
957 **prepare_split_kwargs,
958 **download_and_prepare_kwargs,
959 )
960 # Sync info
961 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/builder.py:1049, in DatasetBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
1045 split_dict.add(split_generator.split_info)
1047 try:
1048 # Prepare split will record examples associated to the split
-> 1049 self._prepare_split(split_generator, **prepare_split_kwargs)
1050 except OSError as e:
1051 raise OSError(
1052 "Cannot find data file. "
1053 + (self.manual_download_instructions or "")
1054 + "\nOriginal error:\n"
1055 + str(e)
1056 ) from None
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/builder.py:1813, in ArrowBasedBuilder._prepare_split(self, split_generator, file_format, num_proc, max_shard_size)
1811 job_id = 0
1812 with pbar:
-> 1813 for job_id, done, content in self._prepare_split_single(
1814 gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
1815 ):
1816 if done:
1817 result = content
File ~/anaconda3/envs/python3/lib/python3.10/site-packages/datasets/builder.py:1958, in ArrowBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
1956 if isinstance(e, SchemaInferenceError) and e.__context__ is not None:
1957 e = e.__context__
-> 1958 raise DatasetGenerationError("An error occurred while generating the dataset") from e
1960 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)
DatasetGenerationError: An error occurred while generating the dataset
```
Environment Info:
datasets version: 2.14.5
Python version: 3.10.8
PyArrow version: 12.0.1
Pandas version: 2.0.3
I have also tried to load dataset first and then use cast_column, or save_to_disk and load_from_disk.
|
{
"login": "divyakrishna-devisetty",
"id": 32887094,
"node_id": "MDQ6VXNlcjMyODg3MDk0",
"avatar_url": "https://avatars.githubusercontent.com/u/32887094?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/divyakrishna-devisetty",
"html_url": "https://github.com/divyakrishna-devisetty",
"followers_url": "https://api.github.com/users/divyakrishna-devisetty/followers",
"following_url": "https://api.github.com/users/divyakrishna-devisetty/following{/other_user}",
"gists_url": "https://api.github.com/users/divyakrishna-devisetty/gists{/gist_id}",
"starred_url": "https://api.github.com/users/divyakrishna-devisetty/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/divyakrishna-devisetty/subscriptions",
"organizations_url": "https://api.github.com/users/divyakrishna-devisetty/orgs",
"repos_url": "https://api.github.com/users/divyakrishna-devisetty/repos",
"events_url": "https://api.github.com/users/divyakrishna-devisetty/events{/privacy}",
"received_events_url": "https://api.github.com/users/divyakrishna-devisetty/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6364/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6364/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6363
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6363/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6363/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6363/events
|
https://github.com/huggingface/datasets/issues/6363
| 1,968,891,277
|
I_kwDODunzps51WuWN
| 6,363
|
dataset.transform() hangs indefinitely while finetuning the stable diffusion XL
|
{
"login": "bhosalems",
"id": 10846405,
"node_id": "MDQ6VXNlcjEwODQ2NDA1",
"avatar_url": "https://avatars.githubusercontent.com/u/10846405?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhosalems",
"html_url": "https://github.com/bhosalems",
"followers_url": "https://api.github.com/users/bhosalems/followers",
"following_url": "https://api.github.com/users/bhosalems/following{/other_user}",
"gists_url": "https://api.github.com/users/bhosalems/gists{/gist_id}",
"starred_url": "https://api.github.com/users/bhosalems/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/bhosalems/subscriptions",
"organizations_url": "https://api.github.com/users/bhosalems/orgs",
"repos_url": "https://api.github.com/users/bhosalems/repos",
"events_url": "https://api.github.com/users/bhosalems/events{/privacy}",
"received_events_url": "https://api.github.com/users/bhosalems/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 7
| 2023-10-30T17:34:05
| 2023-11-22T00:29:21
| 2023-11-22T00:29:21
|
NONE
| null | null | null |
### Describe the bug
Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --pretrained_vae_model_name_or_path=$VAE_NAME --dataset_name=$DATASET_NAME --enable_xformers_memory_efficient_attention --resolution=512 --center_crop --random_flip --proportion_empty_prompts=0.2 --train_batch_size=1 --gradient_accumulation_steps=4 --gradient_checkpointing --max_train_steps=10000 --use_8bit_adam --learning_rate=1e-06 --lr_scheduler="constant" --lr_warmup_steps=0 --mixed_precision="fp16" --report_to="wandb" --validation_prompt="a cute Sundar Pichai creature" --validation_epochs 5 --checkpointing_steps=5000 --output_dir="sdxl-pokemon-model"
### Expected behavior
It should start the training as it does for the single GPU training. I opened the issue in diffusers **https://github.com/huggingface/diffusers/issues/5534 but it does seem to be an issue with the Pokemon dataset.
I added some debug prints
```
print("==========HERE3=============")
with accelerator.main_process_first():
print(accelerator.is_main_process)
print("===========Here3.1===========")
if args.max_train_samples is not None:
dataset["train"] = dataset["train"].shuffle(seed=args.seed).select(range(args.max_train_samples))
print("===========Here3.2===========")
# Set the training transforms
train_dataset = dataset["train"].with_transform(preprocess_train)
print("==========HERE4=============")
Corresponding Output
Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
10/25/2023 21:18:04 - INFO - main - Distributed environment: MULTI_GPU Backend: nccl
Num processes: 3
Process index: 1
Local process index: 1
Device: cuda:1
Mixed precision type: fp16
10/25/2023 21:18:04 - INFO - main - Distributed environment: MULTI_GPU Backend: nccl
Num processes: 3
Process index: 2
Local process index: 2
Device: cuda:2
Mixed precision type: fp16
10/25/2023 21:18:04 - INFO - main - Distributed environment: MULTI_GPU Backend: nccl
Num processes: 3
Process index: 0
Local process index: 0
Device: cuda:0
Mixed precision type: fp16
You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
{‘variance_type’, ‘clip_sample_range’, ‘thresholding’, ‘dynamic_thresholding_ratio’} was not found in config. Values will be initialized to default values.
{‘attention_type’, ‘reverse_transformer_layers_per_block’, ‘dropout’} was not found in config. Values will be initialized to default values.
==========HERE1=============
==========HERE1=============
==========HERE1=============
==========HERE2=============
==========HERE2=============
==========HERE2=============
==========HERE3=============
True
===========Here3.1===========
===========Here3.2===========
==========HERE3=============
==========HERE3=========
```
### Environment info
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_kmp_llvm conda-forge
absl-py 2.0.0 pypi_0 pypi
accelerate 0.24.0 pypi_0 pypi
aiohttp 3.8.6 pypi_0 pypi
aiosignal 1.3.1 pypi_0 pypi
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
async-timeout 4.0.3 pypi_0 pypi
attrs 23.1.0 pypi_0 pypi
bitsandbytes 0.41.1 pypi_0 pypi
blas 1.0 mkl
blessings 1.7 py39h06a4308_1002
brotli-python 1.0.9 py39h6a678d5_7
bzip2 1.0.8 h7b6447c_0
ca-certificates 2023.08.22 h06a4308_0
cachetools 5.3.2 pypi_0 pypi
certifi 2023.7.22 py39h06a4308_0
cffi 1.15.1 py39h5eee18b_3
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.1.7 unix_pyh707e725_0 conda-forge
cryptography 41.0.3 py39hdda0065_0
cuda-cudart 11.7.99 0 nvidia
cuda-cupti 11.7.101 0 nvidia
cuda-libraries 11.7.1 0 nvidia
cuda-nvrtc 11.7.99 0 nvidia
cuda-nvtx 11.7.91 0 nvidia
cuda-runtime 11.7.1 0 nvidia
datasets 2.14.6 pypi_0 pypi
diffusers 0.22.0.dev0 pypi_0 pypi
dill 0.3.7 pypi_0 pypi
docker-pycreds 0.4.0 py_0 conda-forge
ffmpeg 4.3 hf484d3e_0 pytorch
filelock 3.12.4 pypi_0 pypi
freetype 2.12.1 h4a9f257_0
frozenlist 1.4.0 pypi_0 pypi
fsspec 2023.10.0 pypi_0 pypi
ftfy 6.1.1 pypi_0 pypi
giflib 5.2.1 h5eee18b_3
gitdb 4.0.11 pyhd8ed1ab_0 conda-forge
gitpython 3.1.40 pyhd8ed1ab_0 conda-forge
gmp 6.2.1 h295c915_3
gnutls 3.6.15 he1e5248_0
google-auth 2.23.3 pypi_0 pypi
google-auth-oauthlib 1.1.0 pypi_0 pypi
gpustat 0.6.0 pyhd3eb1b0_1
grpcio 1.59.0 pypi_0 pypi
huggingface-hub 0.17.3 pypi_0 pypi
idna 3.4 py39h06a4308_0
importlib-metadata 6.8.0 pypi_0 pypi
intel-openmp 2023.1.0 hdb19cb5_46305
jinja2 3.1.2 pypi_0 pypi
jpeg 9e h5eee18b_1
lame 3.100 h7b6447c_0
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libcublas 11.10.3.66 0 nvidia
libcufft 10.7.2.124 h4fbf590_0 nvidia
libcufile 1.8.0.34 0 nvidia
libcurand 10.3.4.52 0 nvidia
libcusolver 11.4.0.1 0 nvidia
libcusparse 11.7.4.91 0 nvidia
libdeflate 1.17 h5eee18b_1
libffi 3.4.4 h6a678d5_0
libgcc-ng 13.2.0 h807b86a_2 conda-forge
libgfortran-ng 13.2.0 h69a702a_2 conda-forge
libgfortran5 13.2.0 ha4646dd_2 conda-forge
libiconv 1.16 h7f8727e_2
libidn2 2.3.4 h5eee18b_0
libnpp 11.7.4.75 0 nvidia
libnvjpeg 11.8.0.2 0 nvidia
libpng 1.6.39 h5eee18b_0
libprotobuf 3.20.3 he621ea3_0
libstdcxx-ng 13.2.0 h7e041cc_2 conda-forge
libtasn1 4.19.0 h5eee18b_0
libtiff 4.5.1 h6a678d5_0
libunistring 0.9.10 h27cfd23_0
libwebp 1.3.2 h11a3e52_0
libwebp-base 1.3.2 h5eee18b_0
llvm-openmp 14.0.6 h9e868ea_0
lz4-c 1.9.4 h6a678d5_0
markdown 3.5 pypi_0 pypi
markupsafe 2.1.3 pypi_0 pypi
mkl 2023.1.0 h213fc3f_46343
mkl-service 2.4.0 py39h5eee18b_1
mkl_fft 1.3.8 py39h5eee18b_0
mkl_random 1.2.4 py39hdb19cb5_0
multidict 6.0.4 pypi_0 pypi
multiprocess 0.70.15 pypi_0 pypi
ncurses 6.4 h6a678d5_0
nettle 3.7.3 hbbd107a_1
numpy 1.26.0 py39h5f9d8c6_0
numpy-base 1.26.0 py39hb5e798b_0
nvidia-ml 7.352.0 pyhd3eb1b0_0
oauthlib 3.2.2 pypi_0 pypi
openh264 2.1.1 h4ff587b_0
openjpeg 2.4.0 h3ad879b_0
openssl 3.0.11 h7f8727e_2
packaging 23.2 pypi_0 pypi
pandas 2.1.1 pypi_0 pypi
pathtools 0.1.2 py_1 conda-forge
pillow 10.0.1 py39ha6cbd5a_0
pip 23.3 py39h06a4308_0
protobuf 4.23.4 pypi_0 pypi
psutil 5.9.6 pypi_0 pypi
pyarrow 13.0.0 pypi_0 pypi
pyasn1 0.5.0 pypi_0 pypi
pyasn1-modules 0.3.0 pypi_0 pypi
pycparser 2.21 pyhd3eb1b0_0
pyopenssl 23.2.0 py39h06a4308_0
pysocks 1.7.1 py39h06a4308_0
python 3.9.18 h955ad1f_0
python-dateutil 2.8.2 pypi_0 pypi
python_abi 3.9 2_cp39 conda-forge
pytorch 1.13.1 py3.9_cuda11.7_cudnn8.5.0_0 pytorch
pytorch-cuda 11.7 h778d358_5 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2023.3.post1 pypi_0 pypi
pyyaml 6.0.1 pypi_0 pypi
readline 8.2 h5eee18b_0
regex 2023.10.3 pypi_0 pypi
requests 2.31.0 py39h06a4308_0
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
safetensors 0.4.0 pypi_0 pypi
scipy 1.11.3 py39h5f9d8c6_0
sentry-sdk 1.32.0 pyhd8ed1ab_0 conda-forge
setproctitle 1.1.10 py39h3811e60_1004 conda-forge
setuptools 68.0.0 py39h06a4308_0
six 1.16.0 pyh6c4a22f_0 conda-forge
smmap 5.0.0 pyhd8ed1ab_0 conda-forge
sqlite 3.41.2 h5eee18b_0
tbb 2021.8.0 hdb19cb5_0
tensorboard 2.15.0 pypi_0 pypi
tensorboard-data-server 0.7.2 pypi_0 pypi
tk 8.6.12 h1ccaba5_0
tokenizers 0.14.1 pypi_0 pypi
torchaudio 0.13.1 py39_cu117 pytorch
torchtriton 2.1.0 py39 pytorch
torchvision 0.14.1 py39_cu117 pytorch
tqdm 4.66.1 pypi_0 pypi
transformers 4.34.1 pypi_0 pypi
typing_extensions 4.7.1 py39h06a4308_0
tzdata 2023.3 pypi_0 pypi
urllib3 1.26.18 py39h06a4308_0
wandb 0.15.12 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.8 pypi_0 pypi
werkzeug 3.0.1 pypi_0 pypi
wheel 0.41.2 py39h06a4308_0
xformers 0.0.22.post7 py39_cu11.7.1_pyt1.13.1 xformers
xxhash 3.4.1 pypi_0 pypi
xz 5.4.2 h5eee18b_0
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.9.2 pypi_0 pypi
zipp 3.17.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_0
zstd 1.5.5 hc292b87_0
|
{
"login": "bhosalems",
"id": 10846405,
"node_id": "MDQ6VXNlcjEwODQ2NDA1",
"avatar_url": "https://avatars.githubusercontent.com/u/10846405?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhosalems",
"html_url": "https://github.com/bhosalems",
"followers_url": "https://api.github.com/users/bhosalems/followers",
"following_url": "https://api.github.com/users/bhosalems/following{/other_user}",
"gists_url": "https://api.github.com/users/bhosalems/gists{/gist_id}",
"starred_url": "https://api.github.com/users/bhosalems/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/bhosalems/subscriptions",
"organizations_url": "https://api.github.com/users/bhosalems/orgs",
"repos_url": "https://api.github.com/users/bhosalems/repos",
"events_url": "https://api.github.com/users/bhosalems/events{/privacy}",
"received_events_url": "https://api.github.com/users/bhosalems/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6363/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6363/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6360
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6360/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6360/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6360/events
|
https://github.com/huggingface/datasets/issues/6360
| 1,965,672,950
|
I_kwDODunzps51Kcn2
| 6,360
|
Add support for `Sequence(Audio/Image)` feature in `push_to_hub`
|
{
"login": "Laurent2916",
"id": 21087104,
"node_id": "MDQ6VXNlcjIxMDg3MTA0",
"avatar_url": "https://avatars.githubusercontent.com/u/21087104?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Laurent2916",
"html_url": "https://github.com/Laurent2916",
"followers_url": "https://api.github.com/users/Laurent2916/followers",
"following_url": "https://api.github.com/users/Laurent2916/following{/other_user}",
"gists_url": "https://api.github.com/users/Laurent2916/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Laurent2916/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Laurent2916/subscriptions",
"organizations_url": "https://api.github.com/users/Laurent2916/orgs",
"repos_url": "https://api.github.com/users/Laurent2916/repos",
"events_url": "https://api.github.com/users/Laurent2916/events{/privacy}",
"received_events_url": "https://api.github.com/users/Laurent2916/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
] | null | 1
| 2023-10-27T14:39:57
| 2024-02-06T19:24:20
| 2024-02-06T19:24:20
|
CONTRIBUTOR
| null | null | null |
### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead of only storing paths to the files.
I've noticed that this behavior does not extend to `Sequence` of `Image`, when working with a [dataset of timelapse images](https://huggingface.co/datasets/1aurent/Human-Embryo-Timelapse).
### Your contribution
I'll submit a PR if I find a way to add this feature
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6360/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6360/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6359
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6359/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6359/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6359/events
|
https://github.com/huggingface/datasets/issues/6359
| 1,965,378,583
|
I_kwDODunzps51JUwX
| 6,359
|
Stuck in "Resolving data files..."
|
{
"login": "Luciennnnnnn",
"id": 20135317,
"node_id": "MDQ6VXNlcjIwMTM1MzE3",
"avatar_url": "https://avatars.githubusercontent.com/u/20135317?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Luciennnnnnn",
"html_url": "https://github.com/Luciennnnnnn",
"followers_url": "https://api.github.com/users/Luciennnnnnn/followers",
"following_url": "https://api.github.com/users/Luciennnnnnn/following{/other_user}",
"gists_url": "https://api.github.com/users/Luciennnnnnn/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Luciennnnnnn/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Luciennnnnnn/subscriptions",
"organizations_url": "https://api.github.com/users/Luciennnnnnn/orgs",
"repos_url": "https://api.github.com/users/Luciennnnnnn/repos",
"events_url": "https://api.github.com/users/Luciennnnnnn/events{/privacy}",
"received_events_url": "https://api.github.com/users/Luciennnnnnn/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 4
| 2023-10-27T12:01:51
| 2024-01-24T15:02:06
| null |
NONE
| null | null | null |
### Describe the bug
I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understand, after Arrow files been created in the first run, the second run should not take time longer than one or two minutes.
### Steps to reproduce the bug
# Run following code two times
dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')
### Expected behavior
Fast dataset building
### Environment info
- `datasets` version: 2.14.5
- Platform: Linux-5.15.0-60-generic-x86_64-with-glibc2.35
- Python version: 3.10.11
- Huggingface_hub version: 0.17.3
- PyArrow version: 10.0.1
- Pandas version: 1.5.3
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6359/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6359/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6358
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6358/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6358/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6358/events
|
https://github.com/huggingface/datasets/issues/6358
| 1,965,014,595
|
I_kwDODunzps51H75D
| 6,358
|
Mounting datasets cache fails due to absolute paths.
|
{
"login": "charliebudd",
"id": 72921588,
"node_id": "MDQ6VXNlcjcyOTIxNTg4",
"avatar_url": "https://avatars.githubusercontent.com/u/72921588?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/charliebudd",
"html_url": "https://github.com/charliebudd",
"followers_url": "https://api.github.com/users/charliebudd/followers",
"following_url": "https://api.github.com/users/charliebudd/following{/other_user}",
"gists_url": "https://api.github.com/users/charliebudd/gists{/gist_id}",
"starred_url": "https://api.github.com/users/charliebudd/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/charliebudd/subscriptions",
"organizations_url": "https://api.github.com/users/charliebudd/orgs",
"repos_url": "https://api.github.com/users/charliebudd/repos",
"events_url": "https://api.github.com/users/charliebudd/events{/privacy}",
"received_events_url": "https://api.github.com/users/charliebudd/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 5
| 2023-10-27T08:20:27
| 2024-04-10T08:50:06
| 2023-11-28T14:47:12
|
NONE
| null | null | null |
### Describe the bug
Creating a datasets cache and mounting this into, for example, a docker container, renders the data unreadable due to absolute paths written into the cache.
### Steps to reproduce the bug
1. Create a datasets cache by downloading some data
2. Mount the dataset folder into a docker container or remote system.
3. (Edit) Set `HF_HOME` or `HF_DATASET_CACHE` to point to the mounted cache.
4. Attempt to access the data from within the docker container.
5. An error is thrown saying no file exists at \<absolute path to original cache location\>
### Expected behavior
The data is loaded without error
### Environment info
- `datasets` version: 2.14.4
- Platform: Linux-5.4.0-162-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.4
- PyArrow version: 13.0.0
- Pandas version: 2.0.3
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6358/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6358/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6357
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6357/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6357/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6357/events
|
https://github.com/huggingface/datasets/issues/6357
| 1,964,653,995
|
I_kwDODunzps51Gj2r
| 6,357
|
Allow passing a multiprocessing context to functions that support `num_proc`
|
{
"login": "bryant1410",
"id": 3905501,
"node_id": "MDQ6VXNlcjM5MDU1MDE=",
"avatar_url": "https://avatars.githubusercontent.com/u/3905501?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bryant1410",
"html_url": "https://github.com/bryant1410",
"followers_url": "https://api.github.com/users/bryant1410/followers",
"following_url": "https://api.github.com/users/bryant1410/following{/other_user}",
"gists_url": "https://api.github.com/users/bryant1410/gists{/gist_id}",
"starred_url": "https://api.github.com/users/bryant1410/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/bryant1410/subscriptions",
"organizations_url": "https://api.github.com/users/bryant1410/orgs",
"repos_url": "https://api.github.com/users/bryant1410/repos",
"events_url": "https://api.github.com/users/bryant1410/events{/privacy}",
"received_events_url": "https://api.github.com/users/bryant1410/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 0
| 2023-10-27T02:31:16
| 2023-10-27T02:31:16
| null |
CONTRIBUTOR
| null | null | null |
### Feature request
Allow specifying [a multiprocessing context](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods) to functions that support `num_proc` or use multiprocessing pools. For example, the following could be done:
```python
dataset = dataset.map(_func, num_proc=2, mp_context=multiprocess.get_context("spawn"))
```
Or at least the multiprocessing start method ("fork", "spawn", "fork_server" or `None`):
```python
dataset = dataset.map(_func, num_proc=2, mp_start_method="spawn")
```
Another option could be passing the `pool` as an argument.
### Motivation
By default, `multiprocess` (the `multiprocessing`-fork library that this repo uses) uses the "fork" start method for multiprocessing pools (for the default context). It could be changed by using `set_start_method`. However, this conditions the multiprocessing start method from all processing in a Python program that uses the default context, because [you can't call that function more than once](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods:~:text=set_start_method()%20should%20not%20be%20used%20more%20than%20once%20in%20the%20program.). My proposal is to allow using a different multiprocessing context, not to condition the whole Python program.
One reason to change the start method is that "fork" (the default) makes child processes likely deadlock if thread pools were created before (and also this is not supported by POSIX). For example, this happens when using PyTorch because OpenMP threads are used for CPU intra-op parallelism, which is enabled by default (e.g., for context see [`torch.set_num_threads`](https://pytorch.org/docs/stable/generated/torch.set_num_threads.html)). This can also be fixed by setting `torch.set_num_threads(1)` (or similarly by other methods) but this conditions the whole Python program as it can only be set once to guarantee its behavior (similarly to). There are noticeable performance differences when setting this number to 1 even when using GPU(s). Using, e.g., a "spawn" start method would solve this issue.
For more context, see:
* https://discuss.huggingface.co/t/dataset-map-stuck-with-torch-set-num-threads-set-to-2-or-larger/37984
* https://discuss.huggingface.co/t/using-num-proc-1-in-dataset-map-hangs/44310
### Your contribution
I'd be happy to review a PR that makes such a change. And if you really don't have the bandwidth for it, I'd consider creating one.
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6357/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6357/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6354
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6354/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6354/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6354/events
|
https://github.com/huggingface/datasets/issues/6354
| 1,963,483,324
|
I_kwDODunzps51CGC8
| 6,354
|
`IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader`
|
{
"login": "NazyS",
"id": 50199774,
"node_id": "MDQ6VXNlcjUwMTk5Nzc0",
"avatar_url": "https://avatars.githubusercontent.com/u/50199774?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/NazyS",
"html_url": "https://github.com/NazyS",
"followers_url": "https://api.github.com/users/NazyS/followers",
"following_url": "https://api.github.com/users/NazyS/following{/other_user}",
"gists_url": "https://api.github.com/users/NazyS/gists{/gist_id}",
"starred_url": "https://api.github.com/users/NazyS/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/NazyS/subscriptions",
"organizations_url": "https://api.github.com/users/NazyS/orgs",
"repos_url": "https://api.github.com/users/NazyS/repos",
"events_url": "https://api.github.com/users/NazyS/events{/privacy}",
"received_events_url": "https://api.github.com/users/NazyS/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 1
| 2023-10-26T12:43:36
| 2023-11-14T18:46:03
| null |
NONE
| null | null | null |
### Describe the bug
Looks like `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` if I'm not missing anything.
Also, returns not consistent error messages, which probably depend on the nondeterministic order of worker executions
Some exampes I've encountered:
```
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-68c05436-3512-41c4-88ca-5630012b70d1/lib/python3.10/site-packages/datasets/packaged_modules/spark/spark.py", line 79, in __iter__
yield from self.generate_examples_fn()
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-68c05436-3512-41c4-88ca-5630012b70d1/lib/python3.10/site-packages/datasets/packaged_modules/spark/spark.py", line 49, in generate_fn
df_with_partition_id = df.select("*", pyspark.sql.functions.spark_partition_id().alias("part_id"))
File "/databricks/spark/python/pyspark/instrumentation_utils.py", line 54, in wrapper
logger.log_failure(
File "/databricks/spark/python/pyspark/databricks/usage_logger.py", line 70, in log_failure
self.logger.recordFunctionCallFailureEvent(
File "/databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
return_value = get_return_value(
File "/databricks/spark/python/pyspark/errors/exceptions/captured.py", line 188, in deco
return f(*a, **kw)
File "/databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py", line 342, in get_return_value
return OUTPUT_CONVERTER[type](answer[2:], gateway_client)
KeyError: 'c'
```
```
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-68c05436-3512-41c4-88ca-5630012b70d1/lib/python3.10/site-packages/datasets/packaged_modules/spark/spark.py", line 79, in __iter__
yield from self.generate_examples_fn()
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-68c05436-3512-41c4-88ca-5630012b70d1/lib/python3.10/site-packages/datasets/packaged_modules/spark/spark.py", line 49, in generate_fn
df_with_partition_id = df.select("*", pyspark.sql.functions.spark_partition_id().alias("part_id"))
File "/databricks/spark/python/pyspark/sql/utils.py", line 162, in wrapped
return f(*args, **kwargs)
File "/databricks/spark/python/pyspark/sql/functions.py", line 4893, in spark_partition_id
return _invoke_function("spark_partition_id")
File "/databricks/spark/python/pyspark/sql/functions.py", line 98, in _invoke_function
return Column(jf(*args))
File "/databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
return_value = get_return_value(
File "/databricks/spark/python/pyspark/errors/exceptions/captured.py", line 188, in deco
return f(*a, **kw)
File "/databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py", line 342, in get_return_value
return OUTPUT_CONVERTER[type](answer[2:], gateway_client)
KeyError: 'm'
```
```
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-68c05436-3512-41c4-88ca-5630012b70d1/lib/python3.10/site-packages/datasets/packaged_modules/spark/spark.py", line 79, in __iter__
yield from self.generate_examples_fn()
File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-68c05436-3512-41c4-88ca-5630012b70d1/lib/python3.10/site-packages/datasets/packaged_modules/spark/spark.py", line 49, in generate_fn
df_with_partition_id = df.select("*", pyspark.sql.functions.spark_partition_id().alias("part_id"))
File "/databricks/spark/python/pyspark/sql/utils.py", line 162, in wrapped
return f(*args, **kwargs)
File "/databricks/spark/python/pyspark/sql/functions.py", line 4893, in spark_partition_id
return _invoke_function("spark_partition_id")
File "/databricks/spark/python/pyspark/sql/functions.py", line 97, in _invoke_function
jf = _get_jvm_function(name, SparkContext._active_spark_context)
File "/databricks/spark/python/pyspark/sql/functions.py", line 88, in _get_jvm_function
return getattr(sc._jvm.functions, name)
File "/databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1725, in __getattr__
raise Py4JError(message)
py4j.protocol.Py4JError: functions does not exist in the JVM
```
### Steps to reproduce the bug
```python
import pandas as pd
import numpy as np
batch_size = 16
pdf = pd.DataFrame({
key: np.random.rand(16*100) for key in ['feature', 'target']
})
test_df = spark.createDataFrame(pdf)
from datasets import IterableDataset
from torch.utils.data import DataLoader
ids = IterableDataset.from_spark(test_df)
for batch in DataLoader(ids, batch_size=16, num_workers=4):
for k, b in batch.items():
print(k, b.shape, sep='\t')
print('\n')
```
### Expected behavior
For `num_workers` equal to 0 or 1 works fine as expected:
```
feature torch.Size([16])
target torch.Size([16])
feature torch.Size([16])
target torch.Size([16])
....
```
Expected to support workers >1.
### Environment info
Databricks 13.3 LTS ML runtime - Spark 3.4.1
pyspark==3.4.1
py4j==0.10.9.7
datasets==2.13.1 and also tested with datasets==2.14.6
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6354/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6354/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6353
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6353/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6353/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6353/events
|
https://github.com/huggingface/datasets/issues/6353
| 1,962,646,450
|
I_kwDODunzps50-5uy
| 6,353
|
load_dataset save_to_disk load_from_disk error
|
{
"login": "brisker",
"id": 13804492,
"node_id": "MDQ6VXNlcjEzODA0NDky",
"avatar_url": "https://avatars.githubusercontent.com/u/13804492?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/brisker",
"html_url": "https://github.com/brisker",
"followers_url": "https://api.github.com/users/brisker/followers",
"following_url": "https://api.github.com/users/brisker/following{/other_user}",
"gists_url": "https://api.github.com/users/brisker/gists{/gist_id}",
"starred_url": "https://api.github.com/users/brisker/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/brisker/subscriptions",
"organizations_url": "https://api.github.com/users/brisker/orgs",
"repos_url": "https://api.github.com/users/brisker/repos",
"events_url": "https://api.github.com/users/brisker/events{/privacy}",
"received_events_url": "https://api.github.com/users/brisker/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 5
| 2023-10-26T03:47:06
| 2024-04-03T05:31:01
| 2023-10-26T10:18:04
|
NONE
| null | null | null |
### Describe the bug
datasets version： 2.10.1
I `load_dataset `and `save_to_disk` sucessfully on windows10( **and I `load_from_disk(/LLM/data/wiki)` succcesfully on windows10**), and I copy the dataset `/LLM/data/wiki`
into a ubuntu system, but when I `load_from_disk(/LLM/data/wiki)` on ubuntu, something weird happens:
```
load_from_disk('/LLM/data/wiki')
File "/usr/local/miniconda3/lib/python3.8/site-packages/datasets/load.py", line 1874, in load_from_disk
return DatasetDict.load_from_disk(dataset_path, keep_in_memory=keep_in_memory, storage_options=storage_options)
File "/usr/local/miniconda3/lib/python3.8/site-packages/datasets/dataset_dict.py", line 1309, in load_from_disk
dataset_dict[k] = Dataset.load_from_disk(
File "/usr/local/miniconda3/lib/python3.8/site-packages/datasets/arrow_dataset.py", line 1543, in load_from_disk
fs_token_paths = fsspec.get_fs_token_paths(dataset_path, storage_options=storage_options)
File "/usr/local/miniconda3/lib/python3.8/site-packages/fsspec/core.py", line 610, in get_fs_token_paths
chain = _un_chain(urlpath0, storage_options or {})
File "/usr/local/miniconda3/lib/python3.8/site-packages/fsspec/core.py", line 325, in _un_chain
cls = get_filesystem_class(protocol)
File "/usr/local/miniconda3/lib/python3.8/site-packages/fsspec/registry.py", line 232, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: /LLM/data/wiki
```
It seems that something went wrong on the arrow file?
How can I solve this , since currently I can not save_to_disk on ubuntu system
### Steps to reproduce the bug
datasets version： 2.10.1
### Expected behavior
datasets version： 2.10.1
### Environment info
datasets version： 2.10.1
|
{
"login": "brisker",
"id": 13804492,
"node_id": "MDQ6VXNlcjEzODA0NDky",
"avatar_url": "https://avatars.githubusercontent.com/u/13804492?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/brisker",
"html_url": "https://github.com/brisker",
"followers_url": "https://api.github.com/users/brisker/followers",
"following_url": "https://api.github.com/users/brisker/following{/other_user}",
"gists_url": "https://api.github.com/users/brisker/gists{/gist_id}",
"starred_url": "https://api.github.com/users/brisker/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/brisker/subscriptions",
"organizations_url": "https://api.github.com/users/brisker/orgs",
"repos_url": "https://api.github.com/users/brisker/repos",
"events_url": "https://api.github.com/users/brisker/events{/privacy}",
"received_events_url": "https://api.github.com/users/brisker/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6353/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6353/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6352
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6352/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6352/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6352/events
|
https://github.com/huggingface/datasets/issues/6352
| 1,962,296,057
|
I_kwDODunzps509kL5
| 6,352
|
Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.")
|
{
"login": "Ahmed-Roushdy",
"id": 68569076,
"node_id": "MDQ6VXNlcjY4NTY5MDc2",
"avatar_url": "https://avatars.githubusercontent.com/u/68569076?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Ahmed-Roushdy",
"html_url": "https://github.com/Ahmed-Roushdy",
"followers_url": "https://api.github.com/users/Ahmed-Roushdy/followers",
"following_url": "https://api.github.com/users/Ahmed-Roushdy/following{/other_user}",
"gists_url": "https://api.github.com/users/Ahmed-Roushdy/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Ahmed-Roushdy/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Ahmed-Roushdy/subscriptions",
"organizations_url": "https://api.github.com/users/Ahmed-Roushdy/orgs",
"repos_url": "https://api.github.com/users/Ahmed-Roushdy/repos",
"events_url": "https://api.github.com/users/Ahmed-Roushdy/events{/privacy}",
"received_events_url": "https://api.github.com/users/Ahmed-Roushdy/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 13
| 2023-10-25T21:55:31
| 2024-03-19T16:46:22
| 2023-11-07T07:26:54
|
NONE
| null | null | null |
I was trying to load the wiki dataset, but i got this error
traindata = load_dataset('wikitext', 'wikitext-2-raw-v1', split='train')
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/load.py", line 1804, in load_dataset
ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/builder.py", line 1108, in as_dataset
raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.")
NotImplementedError: Loading a dataset cached in a LocalFileSystem is not supported.
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6352/reactions",
"total_count": 4,
"+1": 4,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6352/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6350
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6350/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6350/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6350/events
|
https://github.com/huggingface/datasets/issues/6350
| 1,961,869,203
|
I_kwDODunzps5077-T
| 6,350
|
Different objects are returned from calls that should be returning the same kind of object.
|
{
"login": "phalexo",
"id": 4603365,
"node_id": "MDQ6VXNlcjQ2MDMzNjU=",
"avatar_url": "https://avatars.githubusercontent.com/u/4603365?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/phalexo",
"html_url": "https://github.com/phalexo",
"followers_url": "https://api.github.com/users/phalexo/followers",
"following_url": "https://api.github.com/users/phalexo/following{/other_user}",
"gists_url": "https://api.github.com/users/phalexo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/phalexo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/phalexo/subscriptions",
"organizations_url": "https://api.github.com/users/phalexo/orgs",
"repos_url": "https://api.github.com/users/phalexo/repos",
"events_url": "https://api.github.com/users/phalexo/events{/privacy}",
"received_events_url": "https://api.github.com/users/phalexo/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 2
| 2023-10-25T17:08:39
| 2023-10-26T21:03:06
| null |
NONE
| null | null | null |
### Describe the bug
1. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir, split='train[:1%]')
2. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir)
The only difference I would expect these calls to have is the size of the dataset.
But, while 2. returns a dictionary with "train" key in it, 1. returns a dataset WITHOUT any initial "train" keyword.
Both calls are to be used within exactly the same context. They should return identically structured datasets of different size.
### Steps to reproduce the bug
See above.
### Expected behavior
Expect both calls to return the same structured Dataset structure but with different number of elements, i.e. call 1. should have 1% of the data of the call 2.0
### Environment info
Ubuntu 20.04
gcc 9.x.x.
It is really irrelevant.
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6350/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6350/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6349
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6349/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6349/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6349/events
|
https://github.com/huggingface/datasets/issues/6349
| 1,961,435,673
|
I_kwDODunzps506SIZ
| 6,349
|
Can't load ds = load_dataset("imdb")
|
{
"login": "vivianc2",
"id": 86415736,
"node_id": "MDQ6VXNlcjg2NDE1NzM2",
"avatar_url": "https://avatars.githubusercontent.com/u/86415736?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vivianc2",
"html_url": "https://github.com/vivianc2",
"followers_url": "https://api.github.com/users/vivianc2/followers",
"following_url": "https://api.github.com/users/vivianc2/following{/other_user}",
"gists_url": "https://api.github.com/users/vivianc2/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vivianc2/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vivianc2/subscriptions",
"organizations_url": "https://api.github.com/users/vivianc2/orgs",
"repos_url": "https://api.github.com/users/vivianc2/repos",
"events_url": "https://api.github.com/users/vivianc2/events{/privacy}",
"received_events_url": "https://api.github.com/users/vivianc2/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 4
| 2023-10-25T13:29:51
| 2024-03-20T15:09:53
| 2023-10-31T19:59:35
|
NONE
| null | null | null |
### Describe the bug
I did `from datasets import load_dataset, load_metric` and then `ds = load_dataset("imdb")` and it gave me the error:
ExpectedMoreDownloadedFiles: {'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz'}
I tried doing `ds = load_dataset("imdb",download_mode="force_redownload")` as well as reinstalling dataset. I still face this problem.
### Steps to reproduce the bug
1. from datasets import load_dataset, load_metric
2. ds = load_dataset("imdb")
### Expected behavior
It should load and give me this when I run `ds`
DatasetDict({
train: Dataset({
features: ['text', 'label'],
num_rows: 25000
})
test: Dataset({
features: ['text', 'label'],
num_rows: 25000
})
unsupervised: Dataset({
features: ['text', 'label'],
num_rows: 50000
})
})
### Environment info
- `datasets` version: 2.14.6
- Platform: Linux-5.4.0-164-generic-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.16.2
- PyArrow version: 13.0.0
- Pandas version: 2.0.2
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6349/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6349/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6348
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6348/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6348/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6348/events
|
https://github.com/huggingface/datasets/issues/6348
| 1,961,268,504
|
I_kwDODunzps505pUY
| 6,348
|
Parquet stream-conversion fails to embed images/audio files from gated repos
|
{
"login": "severo",
"id": 1676121,
"node_id": "MDQ6VXNlcjE2NzYxMjE=",
"avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/severo",
"html_url": "https://github.com/severo",
"followers_url": "https://api.github.com/users/severo/followers",
"following_url": "https://api.github.com/users/severo/following{/other_user}",
"gists_url": "https://api.github.com/users/severo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/severo/subscriptions",
"organizations_url": "https://api.github.com/users/severo/orgs",
"repos_url": "https://api.github.com/users/severo/repos",
"events_url": "https://api.github.com/users/severo/events{/privacy}",
"received_events_url": "https://api.github.com/users/severo/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] |
open
| false
| null |
[] | null | 0
| 2023-10-25T12:12:44
| 2023-10-25T12:13:07
| null |
CONTRIBUTOR
| null | null | null |
it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6348/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6348/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6347
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6347/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6347/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6347/events
|
https://github.com/huggingface/datasets/issues/6347
| 1,959,004,835
|
I_kwDODunzps50xAqj
| 6,347
|
Incorrect example code in 'Create a dataset' docs
|
{
"login": "rwood-97",
"id": 72076688,
"node_id": "MDQ6VXNlcjcyMDc2Njg4",
"avatar_url": "https://avatars.githubusercontent.com/u/72076688?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/rwood-97",
"html_url": "https://github.com/rwood-97",
"followers_url": "https://api.github.com/users/rwood-97/followers",
"following_url": "https://api.github.com/users/rwood-97/following{/other_user}",
"gists_url": "https://api.github.com/users/rwood-97/gists{/gist_id}",
"starred_url": "https://api.github.com/users/rwood-97/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rwood-97/subscriptions",
"organizations_url": "https://api.github.com/users/rwood-97/orgs",
"repos_url": "https://api.github.com/users/rwood-97/repos",
"events_url": "https://api.github.com/users/rwood-97/events{/privacy}",
"received_events_url": "https://api.github.com/users/rwood-97/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-10-24T11:01:21
| 2023-10-25T13:05:21
| 2023-10-25T13:05:21
|
NONE
| null | null | null |
### Describe the bug
On [this](https://huggingface.co/docs/datasets/create_dataset) page, the example code for loading in images and audio is incorrect.
Currently, examples are:
``` python
from datasets import ImageFolder
dataset = load_dataset("imagefolder", data_dir="/path/to/pokemon")
```
and
``` python
from datasets import AudioFolder
dataset = load_dataset("audiofolder", data_dir="/path/to/folder")
```
I'm pretty sure the imports are wrong and should be:
``` python
from datasets import load_dataset
dataset = load_dataset("audiofolder", data_dir="/path/to/folder")
```
I am happy to update this if this is right but just wanted to check before making any changes.
### Steps to reproduce the bug
Go to https://huggingface.co/docs/datasets/create_dataset
### Expected behavior
N/A
### Environment info
N/A
|
{
"login": "rwood-97",
"id": 72076688,
"node_id": "MDQ6VXNlcjcyMDc2Njg4",
"avatar_url": "https://avatars.githubusercontent.com/u/72076688?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/rwood-97",
"html_url": "https://github.com/rwood-97",
"followers_url": "https://api.github.com/users/rwood-97/followers",
"following_url": "https://api.github.com/users/rwood-97/following{/other_user}",
"gists_url": "https://api.github.com/users/rwood-97/gists{/gist_id}",
"starred_url": "https://api.github.com/users/rwood-97/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rwood-97/subscriptions",
"organizations_url": "https://api.github.com/users/rwood-97/orgs",
"repos_url": "https://api.github.com/users/rwood-97/repos",
"events_url": "https://api.github.com/users/rwood-97/events{/privacy}",
"received_events_url": "https://api.github.com/users/rwood-97/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6347/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6347/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6345
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6345/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6345/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6345/events
|
https://github.com/huggingface/datasets/issues/6345
| 1,957,707,870
|
I_kwDODunzps50sEBe
| 6,345
|
support squad structure datasets using a YAML parameter
|
{
"login": "MajdTannous1",
"id": 138524319,
"node_id": "U_kgDOCEG2nw",
"avatar_url": "https://avatars.githubusercontent.com/u/138524319?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/MajdTannous1",
"html_url": "https://github.com/MajdTannous1",
"followers_url": "https://api.github.com/users/MajdTannous1/followers",
"following_url": "https://api.github.com/users/MajdTannous1/following{/other_user}",
"gists_url": "https://api.github.com/users/MajdTannous1/gists{/gist_id}",
"starred_url": "https://api.github.com/users/MajdTannous1/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MajdTannous1/subscriptions",
"organizations_url": "https://api.github.com/users/MajdTannous1/orgs",
"repos_url": "https://api.github.com/users/MajdTannous1/repos",
"events_url": "https://api.github.com/users/MajdTannous1/events{/privacy}",
"received_events_url": "https://api.github.com/users/MajdTannous1/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 0
| 2023-10-23T17:55:37
| 2023-10-23T17:55:37
| null |
NONE
| null | null | null |
### Feature request
Since the squad structure is widely used, I think it could be beneficial to support it using a YAML parameter.
could you implement automatic data loading of squad-like data using squad JSON format, to read it from JSON files and view it in the correct squad structure.
The dataset structure should be like this:
https://huggingface.co/datasets/squad
Columns:id,title,context,question,answers
### Motivation
Dataset repo requires arbitrary Python code execution
### Your contribution
The dataset structure should be like this:
https://huggingface.co/datasets/squad
Columns:id,title,context,question,answers
train and dev sets in squad structure JSON files
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6345/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 1
}
|
https://api.github.com/repos/huggingface/datasets/issues/6345/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6333
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6333/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6333/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6333/events
|
https://github.com/huggingface/datasets/issues/6333
| 1,956,714,423
|
I_kwDODunzps50oRe3
| 6,333
|
Support fsspec 2023.10.0
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 4
| 2023-10-23T09:14:53
| 2024-02-07T12:39:58
| 2024-02-07T12:39:58
|
MEMBER
| null | null | null |
Once root issue is fixed, remove temporary pin of fsspec < 2023.10.0 introduced by:
- #6331
Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6333/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6333/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6330
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6330/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6330/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6330/events
|
https://github.com/huggingface/datasets/issues/6330
| 1,956,053,294
|
I_kwDODunzps50lwEu
| 6,330
|
Latest fsspec==2023.10.0 issue with streaming datasets
|
{
"login": "ZachNagengast",
"id": 1981179,
"node_id": "MDQ6VXNlcjE5ODExNzk=",
"avatar_url": "https://avatars.githubusercontent.com/u/1981179?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ZachNagengast",
"html_url": "https://github.com/ZachNagengast",
"followers_url": "https://api.github.com/users/ZachNagengast/followers",
"following_url": "https://api.github.com/users/ZachNagengast/following{/other_user}",
"gists_url": "https://api.github.com/users/ZachNagengast/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ZachNagengast/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ZachNagengast/subscriptions",
"organizations_url": "https://api.github.com/users/ZachNagengast/orgs",
"repos_url": "https://api.github.com/users/ZachNagengast/repos",
"events_url": "https://api.github.com/users/ZachNagengast/events{/privacy}",
"received_events_url": "https://api.github.com/users/ZachNagengast/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 8
| 2023-10-22T20:57:10
| 2024-05-08T00:18:39
| 2023-10-23T09:17:56
|
CONTRIBUTOR
| null | null | null |
### Describe the bug
Loading a streaming dataset with this version of fsspec fails with the following error:
`NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.`
I suspect the issue is with this PR
https://github.com/fsspec/filesystem_spec/pull/1381
### Steps to reproduce the bug
1. Upgrade fsspec to version `2023.10.0`
2. Attempt to load a streaming dataset e.g. `load_dataset("laion/gpt4v-emotion-dataset", split="train", streaming=True)`
3. Observe the following exception:
```
File "/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/datasets/load.py", line 2146, in load_dataset
return builder_instance.as_streaming_dataset(split=split)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages/datasets/builder.py", line 1318, in as_streaming_dataset
raise NotImplementedError(
NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.
```
### Expected behavior
Should stream the dataset as normal.
### Environment info
datasets@main
fsspec==2023.10.0
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6330/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6330/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6329
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6329/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6329/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6329/events
|
https://github.com/huggingface/datasets/issues/6329
| 1,955,858,020
|
I_kwDODunzps50lAZk
| 6,329
|
شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی
|
{
"login": "shabnam706",
"id": 147399213,
"node_id": "U_kgDOCMkiLQ",
"avatar_url": "https://avatars.githubusercontent.com/u/147399213?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/shabnam706",
"html_url": "https://github.com/shabnam706",
"followers_url": "https://api.github.com/users/shabnam706/followers",
"following_url": "https://api.github.com/users/shabnam706/following{/other_user}",
"gists_url": "https://api.github.com/users/shabnam706/gists{/gist_id}",
"starred_url": "https://api.github.com/users/shabnam706/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/shabnam706/subscriptions",
"organizations_url": "https://api.github.com/users/shabnam706/orgs",
"repos_url": "https://api.github.com/users/shabnam706/repos",
"events_url": "https://api.github.com/users/shabnam706/events{/privacy}",
"received_events_url": "https://api.github.com/users/shabnam706/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 0
| 2023-10-22T11:07:46
| 2023-10-23T09:22:58
| 2023-10-23T09:22:58
|
NONE
| null | null | null |
شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6329/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6329/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6328
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6328/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6328/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6328/events
|
https://github.com/huggingface/datasets/issues/6328
| 1,955,857,904
|
I_kwDODunzps50lAXw
| 6,328
|
شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی
|
{
"login": "shabnam706",
"id": 147399213,
"node_id": "U_kgDOCMkiLQ",
"avatar_url": "https://avatars.githubusercontent.com/u/147399213?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/shabnam706",
"html_url": "https://github.com/shabnam706",
"followers_url": "https://api.github.com/users/shabnam706/followers",
"following_url": "https://api.github.com/users/shabnam706/following{/other_user}",
"gists_url": "https://api.github.com/users/shabnam706/gists{/gist_id}",
"starred_url": "https://api.github.com/users/shabnam706/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/shabnam706/subscriptions",
"organizations_url": "https://api.github.com/users/shabnam706/orgs",
"repos_url": "https://api.github.com/users/shabnam706/repos",
"events_url": "https://api.github.com/users/shabnam706/events{/privacy}",
"received_events_url": "https://api.github.com/users/shabnam706/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-10-22T11:07:21
| 2023-10-23T09:22:38
| 2023-10-23T09:22:38
|
NONE
| null | null | null | null |
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6328/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6328/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6327
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6327/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6327/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6327/events
|
https://github.com/huggingface/datasets/issues/6327
| 1,955,470,755
|
I_kwDODunzps50jh2j
| 6,327
|
FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)`
|
{
"login": "yzhangcs",
"id": 18402347,
"node_id": "MDQ6VXNlcjE4NDAyMzQ3",
"avatar_url": "https://avatars.githubusercontent.com/u/18402347?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yzhangcs",
"html_url": "https://github.com/yzhangcs",
"followers_url": "https://api.github.com/users/yzhangcs/followers",
"following_url": "https://api.github.com/users/yzhangcs/following{/other_user}",
"gists_url": "https://api.github.com/users/yzhangcs/gists{/gist_id}",
"starred_url": "https://api.github.com/users/yzhangcs/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yzhangcs/subscriptions",
"organizations_url": "https://api.github.com/users/yzhangcs/orgs",
"repos_url": "https://api.github.com/users/yzhangcs/repos",
"events_url": "https://api.github.com/users/yzhangcs/events{/privacy}",
"received_events_url": "https://api.github.com/users/yzhangcs/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 3
| 2023-10-21T12:27:03
| 2023-10-23T18:50:07
| 2023-10-23T18:50:07
|
CONTRIBUTOR
| null | null | null |
### Describe the bug
Hi, I'm trying to load the dataset `togethercomputer/RedPajama-Data-1T-Sample` with `load_dataset` in streaming mode, i.e., `streaming=True`, but `FileNotFoundError` occurs.
### Steps to reproduce the bug
I've downloaded the dataset and save it to the cache dir in advance. My hope is loading the files in offline environment and without taking too much hours to prepross the entire data before running into the training process.
So I try the following code to load the files streamingly
```py
dataset = load_dataset('togethercomputer/RedPajama-Data-1T-Sample', streaming=True)
print(next(iter(dataset['train'])))
```
Sadly, it raises the following:
```
FileNotFoundError: [Errno 2] No such file or directory: 'CURRENT_CODE_PATH/arxiv_sample.jsonl'
```
I've noticed that the dataset can be properly found in the begining
```
Using the latest cached version of the module from /root/.cache/huggingface/modules/datasets_modules/datasets/togethercomputer--RedPajama-Data-1T-Sample/6ea3bc8ec2e84ec6d2df1930942e9028ace8c5b9d9143823cf911c50bbd92039 (last modified on Sat Oct 21 20:12:57 2023) since it couldn't be found locally at togethercomputer/RedPajama-Data-1T-Sample., or remotely on the Hugging Face Hub.
```
But it seems that the paths couldn't be properly parsed when loading iteratively.
How should I fix this error. I've tried specifying `data_files` or `data_dir` as `.../arxiv_sample.jsonl` but none of them works.
Thanks.
### Expected behavior
Properly load the dataset.
### Environment info
`datasets==2.14.5`
|
{
"login": "yzhangcs",
"id": 18402347,
"node_id": "MDQ6VXNlcjE4NDAyMzQ3",
"avatar_url": "https://avatars.githubusercontent.com/u/18402347?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yzhangcs",
"html_url": "https://github.com/yzhangcs",
"followers_url": "https://api.github.com/users/yzhangcs/followers",
"following_url": "https://api.github.com/users/yzhangcs/following{/other_user}",
"gists_url": "https://api.github.com/users/yzhangcs/gists{/gist_id}",
"starred_url": "https://api.github.com/users/yzhangcs/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yzhangcs/subscriptions",
"organizations_url": "https://api.github.com/users/yzhangcs/orgs",
"repos_url": "https://api.github.com/users/yzhangcs/repos",
"events_url": "https://api.github.com/users/yzhangcs/events{/privacy}",
"received_events_url": "https://api.github.com/users/yzhangcs/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6327/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6327/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6324
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6324/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6324/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6324/events
|
https://github.com/huggingface/datasets/issues/6324
| 1,955,126,687
|
I_kwDODunzps50iN2f
| 6,324
|
Conversion to Arrow fails due to wrong type heuristic
|
{
"login": "jphme",
"id": 2862336,
"node_id": "MDQ6VXNlcjI4NjIzMzY=",
"avatar_url": "https://avatars.githubusercontent.com/u/2862336?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jphme",
"html_url": "https://github.com/jphme",
"followers_url": "https://api.github.com/users/jphme/followers",
"following_url": "https://api.github.com/users/jphme/following{/other_user}",
"gists_url": "https://api.github.com/users/jphme/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jphme/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jphme/subscriptions",
"organizations_url": "https://api.github.com/users/jphme/orgs",
"repos_url": "https://api.github.com/users/jphme/repos",
"events_url": "https://api.github.com/users/jphme/events{/privacy}",
"received_events_url": "https://api.github.com/users/jphme/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-10-20T23:20:58
| 2023-10-23T20:52:57
| 2023-10-23T20:52:57
|
NONE
| null | null | null |
### Describe the bug
I have a list of dictionaries with valid/JSON-serializable values.
One key is the denominator for a paragraph. In 99.9% of cases its a number, but there are some occurences of '1a', '2b' and so on.
If trying to convert this list to a dataset with `Dataset.from_list()`, I always get
`ArrowInvalid: Could not convert '1' with type str: tried to convert to int64`, presumably because pyarrow tries to convert the keys to integers.
Is there any way to circumvent this and fix dtypes? I didn't find anything in the documentation.
### Steps to reproduce the bug
* create a list of dicts with one key being a string of an integer for the first few thousand occurences and try to convert to dataset.
### Expected behavior
There shouldn't be an error (e.g. some flag to turn off automatic str to numeric conversion).
### Environment info
- `datasets` version: 2.14.5
- Platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.35
- Python version: 3.9.18
- Huggingface_hub version: 0.17.3
- PyArrow version: 13.0.0
- Pandas version: 2.1.1
|
{
"login": "jphme",
"id": 2862336,
"node_id": "MDQ6VXNlcjI4NjIzMzY=",
"avatar_url": "https://avatars.githubusercontent.com/u/2862336?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jphme",
"html_url": "https://github.com/jphme",
"followers_url": "https://api.github.com/users/jphme/followers",
"following_url": "https://api.github.com/users/jphme/following{/other_user}",
"gists_url": "https://api.github.com/users/jphme/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jphme/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jphme/subscriptions",
"organizations_url": "https://api.github.com/users/jphme/orgs",
"repos_url": "https://api.github.com/users/jphme/repos",
"events_url": "https://api.github.com/users/jphme/events{/privacy}",
"received_events_url": "https://api.github.com/users/jphme/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6324/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6324/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6323
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6323/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6323/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6323/events
|
https://github.com/huggingface/datasets/issues/6323
| 1,954,245,980
|
I_kwDODunzps50e21c
| 6,323
|
Loading dataset from large GCS bucket very slow since 2.14
|
{
"login": "jbcdnr",
"id": 6209990,
"node_id": "MDQ6VXNlcjYyMDk5OTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/6209990?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jbcdnr",
"html_url": "https://github.com/jbcdnr",
"followers_url": "https://api.github.com/users/jbcdnr/followers",
"following_url": "https://api.github.com/users/jbcdnr/following{/other_user}",
"gists_url": "https://api.github.com/users/jbcdnr/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jbcdnr/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jbcdnr/subscriptions",
"organizations_url": "https://api.github.com/users/jbcdnr/orgs",
"repos_url": "https://api.github.com/users/jbcdnr/repos",
"events_url": "https://api.github.com/users/jbcdnr/events{/privacy}",
"received_events_url": "https://api.github.com/users/jbcdnr/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 1
| 2023-10-20T12:59:55
| 2024-09-03T18:42:33
| null |
NONE
| null | null | null |
### Describe the bug
Since updating to >2.14 we have very slow access to our parquet files on GCS when loading a dataset (>30 min vs 3s). Our GCS bucket has many objects and resolving globs is very slow. I could track down the problem to this change:
https://github.com/huggingface/datasets/blame/bade7af74437347a760830466eb74f7a8ce0d799/src/datasets/data_files.py#L348
The underlying implementation with gcsfs is really slow. Could you go back to the old way if we are simply giving the parquet files and no glob pattern?
Thank you.
### Steps to reproduce the bug
Load a dataset from a GCS bucket that has many files.
### Expected behavior
Used to be fast (3s) in 2.13
### Environment info
datasets==2.14.5
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6323/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6323/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6320
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6320/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6320/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6320/events
|
https://github.com/huggingface/datasets/issues/6320
| 1,952,618,316
|
I_kwDODunzps50YpdM
| 6,320
|
Dataset slice splits can't load training and validation at the same time
|
{
"login": "timlac",
"id": 32488097,
"node_id": "MDQ6VXNlcjMyNDg4MDk3",
"avatar_url": "https://avatars.githubusercontent.com/u/32488097?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/timlac",
"html_url": "https://github.com/timlac",
"followers_url": "https://api.github.com/users/timlac/followers",
"following_url": "https://api.github.com/users/timlac/following{/other_user}",
"gists_url": "https://api.github.com/users/timlac/gists{/gist_id}",
"starred_url": "https://api.github.com/users/timlac/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/timlac/subscriptions",
"organizations_url": "https://api.github.com/users/timlac/orgs",
"repos_url": "https://api.github.com/users/timlac/repos",
"events_url": "https://api.github.com/users/timlac/events{/privacy}",
"received_events_url": "https://api.github.com/users/timlac/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-10-19T16:09:22
| 2023-11-30T16:21:15
| 2023-11-30T16:21:15
|
NONE
| null | null | null |
### Describe the bug
According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
However executing the equivalent code:
`speech_commands_v1 = load_dataset("superb", "ks", split="train+test")`
only yields the following output:
> Dataset({
> features: ['file', 'audio', 'label'],
> num_rows: 54175
> })
Where loading the dataset without the split argument yields:
> DatasetDict({
> train: Dataset({
> features: ['file', 'audio', 'label'],
> num_rows: 51094
> })
> validation: Dataset({
> features: ['file', 'audio', 'label'],
> num_rows: 6798
> })
> test: Dataset({
> features: ['file', 'audio', 'label'],
> num_rows: 3081
> })
> })
Thus, the API seems to be broken in this regard.
This is a bit annoying since I want to be able to use the split argument with `split="train[:10%]+test[:10%]"` to have smaller dataset to work with when validating my model is working correctly.
### Steps to reproduce the bug
`speech_commands_v1 = load_dataset("superb", "ks", split="train+test")`
### Expected behavior
> DatasetDict({
> train: Dataset({
> features: ['file', 'audio', 'label'],
> num_rows: 51094
> })
> test: Dataset({
> features: ['file', 'audio', 'label'],
> num_rows: 3081
> })
> })
### Environment info
```
import datasets
print(datasets.__version__)
```
> 2.14.5
```
import sys
print(sys.version)
```
> 3.9.17 (main, Jul 5 2023, 20:41:20)
> [GCC 11.2.0]
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6320/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6320/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6319
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6319/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6319/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6319/events
|
https://github.com/huggingface/datasets/issues/6319
| 1,952,101,717
|
I_kwDODunzps50WrVV
| 6,319
|
Datasets.map is severely broken
|
{
"login": "phalexo",
"id": 4603365,
"node_id": "MDQ6VXNlcjQ2MDMzNjU=",
"avatar_url": "https://avatars.githubusercontent.com/u/4603365?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/phalexo",
"html_url": "https://github.com/phalexo",
"followers_url": "https://api.github.com/users/phalexo/followers",
"following_url": "https://api.github.com/users/phalexo/following{/other_user}",
"gists_url": "https://api.github.com/users/phalexo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/phalexo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/phalexo/subscriptions",
"organizations_url": "https://api.github.com/users/phalexo/orgs",
"repos_url": "https://api.github.com/users/phalexo/repos",
"events_url": "https://api.github.com/users/phalexo/events{/privacy}",
"received_events_url": "https://api.github.com/users/phalexo/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 15
| 2023-10-19T12:19:33
| 2024-08-08T17:05:08
| null |
NONE
| null | null | null |
### Describe the bug
Regardless of how many cores I used, I have 16 or 32 threads, map slows down to a crawl at around 80% done, lingers maybe until 97% extremely slowly and NEVER finishes the job. It just hangs.
After watching this for 27 hours I control-C out of it. Until the end one process appears to be doing something, but it never ends.
I saw some comments about fast tokenizers using Rust and all and tried different variations. NOTHING works.
### Steps to reproduce the bug
Running it without breaking the dataset into parts results in the same behavior. The loop was an attempt to see if this was a RAM issue.
for idx in range(100):
dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=cache_dir, split=f'train[{idx}%:{idx+1}%]')
dataset = dataset.map(partial(tokenize_fn, tokenizer), batched=False, num_proc=1, remove_columns=["text", "meta"])
dataset.save_to_disk(training_args.cache_dir + f"/training_data_{idx}")
### Expected behavior
I expect map to run at more or less the same speed it starts with and FINISH its processing.
### Environment info
Python 3.8, same with 3.10 makes no difference.
Ubuntu 20.04,
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6319/reactions",
"total_count": 5,
"+1": 5,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6319/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6317
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6317/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6317/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6317/events
|
https://github.com/huggingface/datasets/issues/6317
| 1,951,965,668
|
I_kwDODunzps50WKHk
| 6,317
|
sentiment140 dataset unavailable
|
{
"login": "AndreasKarasenko",
"id": 52670382,
"node_id": "MDQ6VXNlcjUyNjcwMzgy",
"avatar_url": "https://avatars.githubusercontent.com/u/52670382?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/AndreasKarasenko",
"html_url": "https://github.com/AndreasKarasenko",
"followers_url": "https://api.github.com/users/AndreasKarasenko/followers",
"following_url": "https://api.github.com/users/AndreasKarasenko/following{/other_user}",
"gists_url": "https://api.github.com/users/AndreasKarasenko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/AndreasKarasenko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/AndreasKarasenko/subscriptions",
"organizations_url": "https://api.github.com/users/AndreasKarasenko/orgs",
"repos_url": "https://api.github.com/users/AndreasKarasenko/repos",
"events_url": "https://api.github.com/users/AndreasKarasenko/events{/privacy}",
"received_events_url": "https://api.github.com/users/AndreasKarasenko/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 2
| 2023-10-19T11:25:21
| 2023-10-19T13:04:56
| 2023-10-19T13:04:56
|
NONE
| null | null | null |
### Describe the bug
loading the dataset using load_dataset("sentiment140") returns the following error
ConnectionError: Couldn't reach http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip (error 403)
### Steps to reproduce the bug
Run the following code (version should not matter).
```
from datasets import load_dataset
data = load_dataset("sentiment140")
```
### Expected behavior
The dataset should be loaded just like any other.
The main issue is that it is no longer hosted by stanford. It is still available from a [Google Drive Link](https://docs.google.com/file/d/0B04GJPshIjmPRnZManQwWEdTZjg/edit).
### Environment info
- `datasets` version: 2.14.5
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.8
- Huggingface_hub version: 0.17.3
- PyArrow version: 13.0.0
- Pandas version: 2.1.1
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6317/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6317/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6315
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6315/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6315/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6315/events
|
https://github.com/huggingface/datasets/issues/6315
| 1,951,800,819
|
I_kwDODunzps50Vh3z
| 6,315
|
Hub datasets with CSV metadata raise ArrowInvalid: JSON parse error: Invalid value. in row 0
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 0
| 2023-10-19T10:11:29
| 2023-10-20T06:14:10
| 2023-10-20T06:14:10
|
MEMBER
| null | null | null |
When trying to load a Hub dataset that contains a CSV metadata file, it raises an `ArrowInvalid` error:
```
E pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
pyarrow/error.pxi:100: ArrowInvalid
```
See: https://huggingface.co/datasets/lukarape/public_small_papers/discussions/1
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6315/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6315/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6311
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6311/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6311/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6311/events
|
https://github.com/huggingface/datasets/issues/6311
| 1,949,304,993
|
I_kwDODunzps50MAih
| 6,311
|
cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146
|
{
"login": "neiblegy",
"id": 16574677,
"node_id": "MDQ6VXNlcjE2NTc0Njc3",
"avatar_url": "https://avatars.githubusercontent.com/u/16574677?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/neiblegy",
"html_url": "https://github.com/neiblegy",
"followers_url": "https://api.github.com/users/neiblegy/followers",
"following_url": "https://api.github.com/users/neiblegy/following{/other_user}",
"gists_url": "https://api.github.com/users/neiblegy/gists{/gist_id}",
"starred_url": "https://api.github.com/users/neiblegy/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/neiblegy/subscriptions",
"organizations_url": "https://api.github.com/users/neiblegy/orgs",
"repos_url": "https://api.github.com/users/neiblegy/repos",
"events_url": "https://api.github.com/users/neiblegy/events{/privacy}",
"received_events_url": "https://api.github.com/users/neiblegy/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 4
| 2023-10-18T09:38:05
| 2024-02-06T19:24:20
| 2024-02-06T19:24:20
|
NONE
| null | null | null |
### Describe the bug
i load a dataset from local csv file which has 187383612 examples, then use `map` to generate new columns for test.
here is my code :
```
import os
from datasets import load_dataset
from datasets.features import Sequence, Value
def add_new_path(example):
example["ais_bbox"] = [100,100,200,200]
example["ais_image_path"] = os.path.join("images", example["image_path"]) if example["image_path"] else ""
return example
ais_dataset = load_dataset("/data/ryan.gao/ais_dataset_cache/raw/1749/")
hf_ds = ais_dataset.map(add_new_path, batched=False, num_proc=32)
ds = hf_ds.cast_column("ais_bbox", Sequence(Value("int32"), length=4))
```
and the `cast_column` raise an exception
```
Casting the dataset: 3%|███▉
...
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 2110, in cast_column
return self.cast(features)
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 2055, in cast
dataset = dataset.map(
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 592, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 557, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 3097, in map
for rank, done, content in Dataset._map_single(**dataset_kwargs):
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 3474, in _map_single
batch = apply_function_on_filtered_inputs(
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 3353, in apply_function_on_filtered_inputs
processed_inputs = function(*fn_args, *additional_args, **fn_kwargs)
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/table.py", line 2329, in table_cast
return cast_table_to_schema(table, schema)
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/table.py", line 2288, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/table.py", line 2288, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/table.py", line 1831, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/table.py", line 1831, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/home/protoss.gao/.local/lib/python3.9/site-packages/datasets/table.py", line 2145, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{array.type}\nto\n{feature}")
TypeError: Couldn't cast array of type
list<item: int64>
to
Sequence(feature=Value(dtype='int32', id=None), length=4, id=None)
```
i check the source code and make debug info:
in datasets/table.py:2092
```
2091 if feature.length > -1:
2092 if feature.length * len(array) == len(array.values):
2093 return pa.FixedSizeListArray.from_arrays(_c(array.values, feature.feature), feature.length)
2094 print(len(array))
2095 print(len(array.values))
```
my feature.length is 4. but feature.length * len(array) == len(array.values) is false.
print(len(array)) is 262
print(len(array.values)) is 4000
then I use "for item in array" to print each item then get 262 * [100,100,200,200]
and use "for item in array.values" to print each item and get 4000 int32 which are 1000 * [100,100,200,200]
i'm wondering the `chunk` in each `array.chunks`, the "chunk.values" may get all the chunks's value rather than single chunk? but i check the pyarrow's doc seems chunk.values is chunk's value not all.
### Steps to reproduce the bug
code provided above.
### Expected behavior
feature.length * len(array) == len(array.values) should be true. and there should not has Exception.
### Environment info
python3.9
x86_64
datasets: 2.14.4
pyarrow: 13.0.0 or 10.0.0
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6311/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6311/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6308
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6308/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6308/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6308/events
|
https://github.com/huggingface/datasets/issues/6308
| 1,946,810,625
|
I_kwDODunzps50CfkB
| 6,308
|
module 'resource' has no attribute 'error'
|
{
"login": "NeoWang9999",
"id": 48009681,
"node_id": "MDQ6VXNlcjQ4MDA5Njgx",
"avatar_url": "https://avatars.githubusercontent.com/u/48009681?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/NeoWang9999",
"html_url": "https://github.com/NeoWang9999",
"followers_url": "https://api.github.com/users/NeoWang9999/followers",
"following_url": "https://api.github.com/users/NeoWang9999/following{/other_user}",
"gists_url": "https://api.github.com/users/NeoWang9999/gists{/gist_id}",
"starred_url": "https://api.github.com/users/NeoWang9999/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/NeoWang9999/subscriptions",
"organizations_url": "https://api.github.com/users/NeoWang9999/orgs",
"repos_url": "https://api.github.com/users/NeoWang9999/repos",
"events_url": "https://api.github.com/users/NeoWang9999/events{/privacy}",
"received_events_url": "https://api.github.com/users/NeoWang9999/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 4
| 2023-10-17T08:08:54
| 2023-10-25T17:09:22
| 2023-10-25T17:09:22
|
NONE
| null | null | null |
### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow_dataset.py", line 66, in <module>
from .arrow_reader import ArrowReader
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow_reader.py", line 30, in <module>
from .download.download_config import DownloadConfig
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\download\__init__.py", line 10, in <module>
from .streaming_download_manager import StreamingDownloadManager
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\download\streaming_download_manager.py", line 21, in <module>
from ..filesystems import COMPRESSION_FILESYSTEMS
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\filesystems\__init__.py", line 8, in <module>
import fsspec.asyn
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\fsspec\asyn.py", line 157, in <module>
ResourceEror = resource.error
AttributeError: module 'resource' has no attribute 'error'
Process finished with exit code 1
```
and the error codes are:
```
try:
import resource
except ImportError:
resource = None
ResourceError = OSError
else:
ResourceEror = resource.error
```
1. miss spelling : "ResourceEror " should be "ResourceErorr"
2. module 'resource' has no attribute 'error'
### Steps to reproduce the bug
only one step:
`from datasets import load_dataset`
### Expected behavior
slove error: module 'resource' has no attribute 'error'
### Environment info
python=3.10
datasets==2.14.5
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6308/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6308/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6306
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6306/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6306/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6306/events
|
https://github.com/huggingface/datasets/issues/6306
| 1,946,363,452
|
I_kwDODunzps50AyY8
| 6,306
|
pyinstaller : OSError: could not get source code
|
{
"login": "dusk877647949",
"id": 57702070,
"node_id": "MDQ6VXNlcjU3NzAyMDcw",
"avatar_url": "https://avatars.githubusercontent.com/u/57702070?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dusk877647949",
"html_url": "https://github.com/dusk877647949",
"followers_url": "https://api.github.com/users/dusk877647949/followers",
"following_url": "https://api.github.com/users/dusk877647949/following{/other_user}",
"gists_url": "https://api.github.com/users/dusk877647949/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dusk877647949/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dusk877647949/subscriptions",
"organizations_url": "https://api.github.com/users/dusk877647949/orgs",
"repos_url": "https://api.github.com/users/dusk877647949/repos",
"events_url": "https://api.github.com/users/dusk877647949/events{/privacy}",
"received_events_url": "https://api.github.com/users/dusk877647949/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 5
| 2023-10-17T01:41:51
| 2023-11-02T07:24:51
| 2023-10-18T14:03:42
|
NONE
| null | null | null |
### Describe the bug
I ran a package with pyinstaller and got the following error：
### Steps to reproduce the bug
```
...
File "datasets\__init__.py", line 52, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
File "PyInstaller\loader\pyimod02_importers.py", line 499, in exec_module
File "datasets\inspect.py", line 30, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
File "PyInstaller\loader\pyimod02_importers.py", line 499, in exec_module
File "datasets\load.py", line 58, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
File "PyInstaller\loader\pyimod02_importers.py", line 499, in exec_module
File "datasets\packaged_modules\__init__.py", line 31, in <module>
File "inspect.py", line 1147, in getsource
File "inspect.py", line 1129, in getsourcelines
File "inspect.py", line 958, in findsource
OSError: could not get source code
```
### Expected behavior
I have looked up the relevant information, but I can't find a suitable reason
### Environment info
```python
python 3.10
datasets 2.14.4
pyinstaller 5.6.2
```
|
{
"login": "dusk877647949",
"id": 57702070,
"node_id": "MDQ6VXNlcjU3NzAyMDcw",
"avatar_url": "https://avatars.githubusercontent.com/u/57702070?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dusk877647949",
"html_url": "https://github.com/dusk877647949",
"followers_url": "https://api.github.com/users/dusk877647949/followers",
"following_url": "https://api.github.com/users/dusk877647949/following{/other_user}",
"gists_url": "https://api.github.com/users/dusk877647949/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dusk877647949/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dusk877647949/subscriptions",
"organizations_url": "https://api.github.com/users/dusk877647949/orgs",
"repos_url": "https://api.github.com/users/dusk877647949/repos",
"events_url": "https://api.github.com/users/dusk877647949/events{/privacy}",
"received_events_url": "https://api.github.com/users/dusk877647949/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6306/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6306/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6305
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6305/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6305/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6305/events
|
https://github.com/huggingface/datasets/issues/6305
| 1,946,010,912
|
I_kwDODunzps5z_cUg
| 6,305
|
Cannot load dataset with `2.14.5`: `FileNotFound` error
|
{
"login": "finiteautomata",
"id": 167943,
"node_id": "MDQ6VXNlcjE2Nzk0Mw==",
"avatar_url": "https://avatars.githubusercontent.com/u/167943?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/finiteautomata",
"html_url": "https://github.com/finiteautomata",
"followers_url": "https://api.github.com/users/finiteautomata/followers",
"following_url": "https://api.github.com/users/finiteautomata/following{/other_user}",
"gists_url": "https://api.github.com/users/finiteautomata/gists{/gist_id}",
"starred_url": "https://api.github.com/users/finiteautomata/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/finiteautomata/subscriptions",
"organizations_url": "https://api.github.com/users/finiteautomata/orgs",
"repos_url": "https://api.github.com/users/finiteautomata/repos",
"events_url": "https://api.github.com/users/finiteautomata/events{/privacy}",
"received_events_url": "https://api.github.com/users/finiteautomata/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
] | null | 2
| 2023-10-16T20:11:27
| 2023-10-18T13:50:36
| 2023-10-18T13:50:36
|
NONE
| null | null | null |
### Describe the bug
I'm trying to load [piuba-bigdata/articles_and_comments] and I'm stumbling with this error on `2.14.5`. However, this works on `2.10.0`.
### Steps to reproduce the bug
[Colab link](https://colab.research.google.com/drive/1SAftFMQnFE708ikRnJJHIXZV7R5IBOCE#scrollTo=r2R2ipCCDmsg)
```python
Downloading readme: 100%
1.19k/1.19k [00:00<00:00, 30.9kB/s]
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-2-807c3583d297>](https://localhost:8080/#) in <cell line: 3>()
1 from datasets import load_dataset
2
----> 3 load_dataset("piuba-bigdata/articles_and_comments", split="train")
2 frames
[/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)
2127
2128 # Create a dataset builder
-> 2129 builder_instance = load_dataset_builder(
2130 path=path,
2131 name=name,
[/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, **config_kwargs)
1813 download_config = download_config.copy() if download_config else DownloadConfig()
1814 download_config.storage_options.update(storage_options)
-> 1815 dataset_module = dataset_module_factory(
1816 path,
1817 revision=revision,
[/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1506 raise e1 from None
1507 if isinstance(e1, FileNotFoundError):
-> 1508 raise FileNotFoundError(
1509 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "
1510 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}"
FileNotFoundError: Couldn't find a dataset script at /content/piuba-bigdata/articles_and_comments/articles_and_comments.py or any data file in the same directory. Couldn't find 'piuba-bigdata/articles_and_comments' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in piuba-bigdata/articles_and_comments.
```
### Expected behavior
It should load normally.
### Environment info
```
- `datasets` version: 2.14.5
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.18.0
- PyArrow version: 9.0.0
- Pandas version: 1.5.3
```
|
{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6305/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6305/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6303
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6303/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6303/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6303/events
|
https://github.com/huggingface/datasets/issues/6303
| 1,943,466,532
|
I_kwDODunzps5z1vIk
| 6,303
|
Parquet uploads off-by-one naming scheme
|
{
"login": "ZachNagengast",
"id": 1981179,
"node_id": "MDQ6VXNlcjE5ODExNzk=",
"avatar_url": "https://avatars.githubusercontent.com/u/1981179?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ZachNagengast",
"html_url": "https://github.com/ZachNagengast",
"followers_url": "https://api.github.com/users/ZachNagengast/followers",
"following_url": "https://api.github.com/users/ZachNagengast/following{/other_user}",
"gists_url": "https://api.github.com/users/ZachNagengast/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ZachNagengast/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ZachNagengast/subscriptions",
"organizations_url": "https://api.github.com/users/ZachNagengast/orgs",
"repos_url": "https://api.github.com/users/ZachNagengast/repos",
"events_url": "https://api.github.com/users/ZachNagengast/events{/privacy}",
"received_events_url": "https://api.github.com/users/ZachNagengast/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 4
| 2023-10-14T18:31:03
| 2023-10-16T16:33:21
| null |
CONTRIBUTOR
| null | null | null |
### Describe the bug
I noticed this numbering scheme not matching up in a different project and wanted to raise it as an issue for discussion, what is the actual proper way to have these stored?
<img width="425" alt="image" src="https://github.com/huggingface/datasets/assets/1981179/3ffa2144-7c9a-446f-b521-a5e9db71e7ce">
The `-SSSSS-of-NNNNN` seems to be used widely across the codebase. The section that creates the part in my screenshot is here https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L5287
There are also some edits to this section in the single commit branch.
### Steps to reproduce the bug
1. Upload a dataset that requires at least two parquet files in it
2. Observe the naming scheme
### Expected behavior
The couple options here are of course **1. keeping it as is**
**2. Starting the index at 1:**
train-00001-of-00002-{hash}.parquet
train-00002-of-00002-{hash}.parquet
**3. My preferred option** (which would solve my specific issue), dropping the total entirely:
train-00000-{hash}.parquet
train-00001-{hash}.parquet
This also solves an issue that will occur with an `append` variable for `push_to_hub` (see https://github.com/huggingface/datasets/issues/6290) where as you add a new parquet file, you need to rename everything in the repo as well.
However, I know there are parts of the repo that use 0 as the starting file or may require the total, so raising the question for discussion.
### Environment info
- `datasets` version: 2.14.6.dev0
- Platform: macOS-14.0-arm64-arm-64bit
- Python version: 3.10.12
- Huggingface_hub version: 0.18.0
- PyArrow version: 12.0.1
- Pandas version: 1.5.3
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6303/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6303/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6302
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6302/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6302/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6302/events
|
https://github.com/huggingface/datasets/issues/6302
| 1,942,096,078
|
I_kwDODunzps5zwgjO
| 6,302
|
ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size`
|
{
"login": "Rassibassi",
"id": 2855550,
"node_id": "MDQ6VXNlcjI4NTU1NTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/2855550?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Rassibassi",
"html_url": "https://github.com/Rassibassi",
"followers_url": "https://api.github.com/users/Rassibassi/followers",
"following_url": "https://api.github.com/users/Rassibassi/following{/other_user}",
"gists_url": "https://api.github.com/users/Rassibassi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Rassibassi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Rassibassi/subscriptions",
"organizations_url": "https://api.github.com/users/Rassibassi/orgs",
"repos_url": "https://api.github.com/users/Rassibassi/repos",
"events_url": "https://api.github.com/users/Rassibassi/events{/privacy}",
"received_events_url": "https://api.github.com/users/Rassibassi/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 2
| 2023-10-13T14:43:36
| 2023-10-17T06:52:12
| 2023-10-17T06:52:11
|
NONE
| null | null | null |
### Describe the bug
An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
The reason for this is that, in line [2] `writer._num_bytes > max_shard_size` is never true, because the `write` method of `ArrowWriter` [3] does not increase `self._num_bytes`.
Such that respective Arrow/Parquet shards are only written to file based on the `writer_batch_size` or `config.DEFAULT_MAX_BATCH_SIZE`, but not based on `max_shard_size`.
[1] https://huggingface.co/docs/datasets/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage
[2] https://github.com/huggingface/datasets/blob/3e8d420808718c9a1453a2e7ee3484ca12c9c70d/src/datasets/builder.py#L1677
[3] https://github.com/huggingface/datasets/blob/3e8d420808718c9a1453a2e7ee3484ca12c9c70d/src/datasets/arrow_writer.py#L459
### Steps to reproduce the bug
Get example from: https://huggingface.co/docs/datasets/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage
Call `builder.download_and_prepare` with low `max_shard_size` such as `10MB`, e.g.:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
### Expected behavior
Shards should be written based on `max_shard_size` instead of batch size.
### Environment info
```
>>> import datasets
>>> datasets.__version__
'2.14.6.dev0
```
|
{
"login": "Rassibassi",
"id": 2855550,
"node_id": "MDQ6VXNlcjI4NTU1NTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/2855550?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Rassibassi",
"html_url": "https://github.com/Rassibassi",
"followers_url": "https://api.github.com/users/Rassibassi/followers",
"following_url": "https://api.github.com/users/Rassibassi/following{/other_user}",
"gists_url": "https://api.github.com/users/Rassibassi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Rassibassi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Rassibassi/subscriptions",
"organizations_url": "https://api.github.com/users/Rassibassi/orgs",
"repos_url": "https://api.github.com/users/Rassibassi/repos",
"events_url": "https://api.github.com/users/Rassibassi/events{/privacy}",
"received_events_url": "https://api.github.com/users/Rassibassi/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6302/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6302/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6299
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6299/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6299/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6299/events
|
https://github.com/huggingface/datasets/issues/6299
| 1,939,649,238
|
I_kwDODunzps5znLLW
| 6,299
|
Support for newer versions of JAX
|
{
"login": "ddrous",
"id": 25456859,
"node_id": "MDQ6VXNlcjI1NDU2ODU5",
"avatar_url": "https://avatars.githubusercontent.com/u/25456859?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ddrous",
"html_url": "https://github.com/ddrous",
"followers_url": "https://api.github.com/users/ddrous/followers",
"following_url": "https://api.github.com/users/ddrous/following{/other_user}",
"gists_url": "https://api.github.com/users/ddrous/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ddrous/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ddrous/subscriptions",
"organizations_url": "https://api.github.com/users/ddrous/orgs",
"repos_url": "https://api.github.com/users/ddrous/repos",
"events_url": "https://api.github.com/users/ddrous/events{/privacy}",
"received_events_url": "https://api.github.com/users/ddrous/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
closed
| false
| null |
[] | null | 0
| 2023-10-12T10:03:46
| 2023-10-12T16:28:59
| 2023-10-12T16:28:59
|
NONE
| null | null | null |
### Feature request
Hi,
I like your idea of adapting the datasets library to be usable with JAX. Thank you for that.
However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome !
What is the rationale for such a limitation ? Can you remove it please ?
Thanks,
### Motivation
This library is unusable with new versions of JAX ?
### Your contribution
Yes.
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6299/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6299/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6294
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6294/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6294/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6294/events
|
https://github.com/huggingface/datasets/issues/6294
| 1,937,359,605
|
I_kwDODunzps5zecL1
| 6,294
|
IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset
|
{
"login": "ZYM66",
"id": 61892155,
"node_id": "MDQ6VXNlcjYxODkyMTU1",
"avatar_url": "https://avatars.githubusercontent.com/u/61892155?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ZYM66",
"html_url": "https://github.com/ZYM66",
"followers_url": "https://api.github.com/users/ZYM66/followers",
"following_url": "https://api.github.com/users/ZYM66/following{/other_user}",
"gists_url": "https://api.github.com/users/ZYM66/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ZYM66/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ZYM66/subscriptions",
"organizations_url": "https://api.github.com/users/ZYM66/orgs",
"repos_url": "https://api.github.com/users/ZYM66/repos",
"events_url": "https://api.github.com/users/ZYM66/events{/privacy}",
"received_events_url": "https://api.github.com/users/ZYM66/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-10-11T09:59:38
| 2023-10-17T11:24:06
| 2023-10-17T11:24:06
|
NONE
| null | null | null |
### Describe the bug
I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries.
### Steps to reproduce the bug
1. Load a dataset with `1166` entries.
2. Create a DataLoader using this dataset.
3. Try iterating over the DataLoader.
code:
```python
def get_train_dataloader(self) -> DataLoader:
if self.train_dataset is None:
raise ValueError("Trainer: training requires a train_dataset.")
train_dataset = self.train_dataset
data_collator = self.data_collator
print(len(train_dataset))
print(train_dataset)
if is_datasets_available() and isinstance(train_dataset, datasets.Dataset):
train_dataset = self._remove_unused_columns(train_dataset, description="training")
else:
data_collator = self._get_collator_with_removed_columns(data_collator, description="training")
train_sampler = self._get_train_sampler()
dl = DataLoader(
train_dataset,
batch_size=self._train_batch_size,
sampler=train_sampler,
collate_fn=data_collator,
drop_last=self.args.dataloader_drop_last,
num_workers=self.args.dataloader_num_workers,
pin_memory=self.args.dataloader_pin_memory,
worker_init_fn=seed_worker,
)
print(dl)
print(len(dl))
for i in dl:
print(i)
break
return dl
```
output :
```
1166
Dataset({
features: ['input_ids', 'special_tokens_mask'],
num_rows: 1166
})
<torch.utils.data.dataloader.DataLoader object ...>
146
```
Error:
```
Traceback (most recent call last):
File "/home/dl/zym/llamaJP/TestUseContinuePretrainLlama.py", line 266, in <module>
train()
File "/home/dl/zym/llamaJP/TestUseContinuePretrainLlama.py", line 260, in train
trainer.train()
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/transformers/trainer.py", line 1506, in train
return inner_training_loop(
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/transformers/trainer.py", line 1520, in _inner_training_loop
train_dataloader = self.get_train_dataloader()
File "/home/dl/zym/llamaJP/TestUseContinuePretrainLlama.py", line 80, in get_train_dataloader
for i in dl:
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 630, in __next__
data = self._next_data()
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 674, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = self.dataset.__getitems__(possibly_batched_index)
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 2807, in __getitems__
batch = self.__getitem__(keys)
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 2803, in __getitem__
return self._getitem(key)
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 2787, in _getitem
pa_subtable = query_table(self._data, key, indices=self._indices if self._indices is not None else None)
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/datasets/formatting/formatting.py", line 583, in query_table
_check_valid_index_key(key, size)
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/datasets/formatting/formatting.py", line 536, in _check_valid_index_key
_check_valid_index_key(int(max(key)), size=size)
File "/root/miniconda3/envs/LLM/lib/python3.10/site-packages/datasets/formatting/formatting.py", line 526, in _check_valid_index_key
raise IndexError(f"Invalid key: {key} is out of bounds for size {size}")
IndexError: Invalid key: 1116 is out of bounds for size 0
```
### Expected behavior
I expect to be able to iterate over the DataLoader without encountering an IndexError since the dataset is populated.
### Environment info
- `datasets` library version: [2.14.5]
- Platform: [Linux]
- Python version: 3.10
- Other libraries involved: HuggingFace Transformers
|
{
"login": "ZYM66",
"id": 61892155,
"node_id": "MDQ6VXNlcjYxODkyMTU1",
"avatar_url": "https://avatars.githubusercontent.com/u/61892155?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ZYM66",
"html_url": "https://github.com/ZYM66",
"followers_url": "https://api.github.com/users/ZYM66/followers",
"following_url": "https://api.github.com/users/ZYM66/following{/other_user}",
"gists_url": "https://api.github.com/users/ZYM66/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ZYM66/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ZYM66/subscriptions",
"organizations_url": "https://api.github.com/users/ZYM66/orgs",
"repos_url": "https://api.github.com/users/ZYM66/repos",
"events_url": "https://api.github.com/users/ZYM66/events{/privacy}",
"received_events_url": "https://api.github.com/users/ZYM66/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6294/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6294/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6293
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6293/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6293/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6293/events
|
https://github.com/huggingface/datasets/issues/6293
| 1,937,238,047
|
I_kwDODunzps5zd-gf
| 6,293
|
Choose columns to stream parquet data in streaming mode
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892857,
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] |
closed
| false
| null |
[] | null | 0
| 2023-10-11T08:59:36
| 2023-10-11T16:21:38
| 2023-10-11T16:21:38
|
MEMBER
| null | null | null |
Currently passing columns= to load_dataset in streaming mode fails
```
Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=None), 'message_id': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None)}'
```
similar to https://github.com/huggingface/datasets/issues/6039
reported at https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65259a09617407d4520f4ad9
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6293/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6293/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6292
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6292/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6292/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6292/events
|
https://github.com/huggingface/datasets/issues/6292
| 1,937,050,470
|
I_kwDODunzps5zdQtm
| 6,292
|
how to load the image of dtype float32 or float64
|
{
"login": "wanglaofei",
"id": 26437644,
"node_id": "MDQ6VXNlcjI2NDM3NjQ0",
"avatar_url": "https://avatars.githubusercontent.com/u/26437644?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/wanglaofei",
"html_url": "https://github.com/wanglaofei",
"followers_url": "https://api.github.com/users/wanglaofei/followers",
"following_url": "https://api.github.com/users/wanglaofei/following{/other_user}",
"gists_url": "https://api.github.com/users/wanglaofei/gists{/gist_id}",
"starred_url": "https://api.github.com/users/wanglaofei/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wanglaofei/subscriptions",
"organizations_url": "https://api.github.com/users/wanglaofei/orgs",
"repos_url": "https://api.github.com/users/wanglaofei/repos",
"events_url": "https://api.github.com/users/wanglaofei/events{/privacy}",
"received_events_url": "https://api.github.com/users/wanglaofei/received_events",
"type": "User",
"site_admin": false
}
|
[] |
open
| false
| null |
[] | null | 1
| 2023-10-11T07:27:16
| 2023-10-11T13:19:11
| null |
NONE
| null | null | null |
_FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data?
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6292/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6292/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6291
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6291/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6291/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6291/events
|
https://github.com/huggingface/datasets/issues/6291
| 1,936,129,871
|
I_kwDODunzps5zZv9P
| 6,291
|
Casting type from Array2D int to Array2D float crashes
|
{
"login": "AlanBlanchet",
"id": 22567306,
"node_id": "MDQ6VXNlcjIyNTY3MzA2",
"avatar_url": "https://avatars.githubusercontent.com/u/22567306?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/AlanBlanchet",
"html_url": "https://github.com/AlanBlanchet",
"followers_url": "https://api.github.com/users/AlanBlanchet/followers",
"following_url": "https://api.github.com/users/AlanBlanchet/following{/other_user}",
"gists_url": "https://api.github.com/users/AlanBlanchet/gists{/gist_id}",
"starred_url": "https://api.github.com/users/AlanBlanchet/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/AlanBlanchet/subscriptions",
"organizations_url": "https://api.github.com/users/AlanBlanchet/orgs",
"repos_url": "https://api.github.com/users/AlanBlanchet/repos",
"events_url": "https://api.github.com/users/AlanBlanchet/events{/privacy}",
"received_events_url": "https://api.github.com/users/AlanBlanchet/received_events",
"type": "User",
"site_admin": false
}
|
[] |
closed
| false
| null |
[] | null | 1
| 2023-10-10T20:10:10
| 2023-10-13T13:45:31
| 2023-10-13T13:45:31
|
NONE
| null | null | null |
### Describe the bug
I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error :
```
Traceback (most recent call last):
File "/home/alan/dev/ClassezDesImagesAvecDesAlgorithmesDeDeeplearning/src/sdd/data/dataset.py", line 141, in <module>
dataset = StanfordDogsDataset(size, 5).original(True).demo()
File "<attrs generated init __main__.StanfordDogsDataset>", line 4, in __init__
File "/home/alan/dev/ClassezDesImagesAvecDesAlgorithmesDeDeeplearning/src/sdd/data/dataset.py", line 33, in __attrs_post_init__
self.dataset = self.dataset.cast_column(
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/fingerprint.py", line 511, in wrapper
out = func(dataset, *args, **kwargs)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 2110, in cast_column
return self.cast(features)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 2055, in cast
dataset = dataset.map(
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 592, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 557, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3097, in map
for rank, done, content in Dataset._map_single(**dataset_kwargs):
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3474, in _map_single
batch = apply_function_on_filtered_inputs(
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3353, in apply_function_on_filtered_inputs
processed_inputs = function(*fn_args, *additional_args, **fn_kwargs)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 2328, in table_cast
return cast_table_to_schema(table, schema)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 2287, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 2287, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 1831, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 1831, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
return array_cast(array, feature(), allow_number_to_str=allow_number_to_str)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 1833, in wrapper
return func(array, *args, **kwargs)
File "/home/alan/.cache/pypoetry/virtualenvs/sdd-2XWLAjSi-py3.10/lib/python3.10/site-packages/datasets/table.py", line 1967, in array_cast
return pa_type.wrap_array(array)
File "pyarrow/types.pxi", line 1369, in pyarrow.lib.BaseExtensionType.wrap_array
TypeError: Incompatible storage type for extension<arrow.py_extension_type<Array2DExtensionType>>: expected list<item: list<item: double>>, got list<item: list<item: int32>>
```
### Steps to reproduce the bug
```python
dataset = datasets.load_dataset("Alanox/stanford-dogs", split="full")
dataset = dataset.cast_column("annotations", Array2D((None, 4), "float64"))
```
### Expected behavior
It should simply cast the column feature type to a `float64` without error
### Environment info
datasets == 2.14.5
|
{
"login": "mariosasko",
"id": 47462742,
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"type": "User",
"site_admin": false
}
|
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6291/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6291/timeline
| null |
completed
| false
|
https://api.github.com/repos/huggingface/datasets/issues/6290
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6290/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6290/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6290/events
|
https://github.com/huggingface/datasets/issues/6290
| 1,935,629,679
|
I_kwDODunzps5zX11v
| 6,290
|
Incremental dataset (e.g. `.push_to_hub(..., append=True)`)
|
{
"login": "Wauplin",
"id": 11801849,
"node_id": "MDQ6VXNlcjExODAxODQ5",
"avatar_url": "https://avatars.githubusercontent.com/u/11801849?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Wauplin",
"html_url": "https://github.com/Wauplin",
"followers_url": "https://api.github.com/users/Wauplin/followers",
"following_url": "https://api.github.com/users/Wauplin/following{/other_user}",
"gists_url": "https://api.github.com/users/Wauplin/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Wauplin/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Wauplin/subscriptions",
"organizations_url": "https://api.github.com/users/Wauplin/orgs",
"repos_url": "https://api.github.com/users/Wauplin/repos",
"events_url": "https://api.github.com/users/Wauplin/events{/privacy}",
"received_events_url": "https://api.github.com/users/Wauplin/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 4
| 2023-10-10T15:18:03
| 2024-09-02T08:11:17
| null |
CONTRIBUTOR
| null | null | null |
### Feature request
Have the possibility to do `ds.push_to_hub(..., append=True)`.
### Motivation
Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and
this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675c9607bdffb208d8f). Discussed internally on [slack](https://huggingface.slack.com/archives/C02EMARJ65P/p1696950642610639?thread_ts=1690554266.830949&cid=C02EMARJ65P).
### Your contribution
What I suggest to do for parquet datasets is to use `CommitOperationCopy` + `CommitOperationDelete` from `huggingface_hub`:
1. list files
2. copy files from parquet-0001-of-0004 to parquet-0001-of-0005
3. delete files like parquet-0001-of-0004
4. generate + add last parquet file parquet-0005-of-0005
=> make a single commit with all commit operations at once
I think it should be quite straightforward to implement. Happy to review a PR (maybe conflicting with the ongoing "1 commit push_to_hub" PR https://github.com/huggingface/datasets/pull/6269)
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6290/reactions",
"total_count": 4,
"+1": 4,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6290/timeline
| null | null | false
|
https://api.github.com/repos/huggingface/datasets/issues/6288
|
https://api.github.com/repos/huggingface/datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6288/labels{/name}
|
https://api.github.com/repos/huggingface/datasets/issues/6288/comments
|
https://api.github.com/repos/huggingface/datasets/issues/6288/events
|
https://github.com/huggingface/datasets/issues/6288
| 1,935,005,457
|
I_kwDODunzps5zVdcR
| 6,288
|
Dataset.from_pandas with a DataFrame of PIL.Images
|
{
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
}
|
[
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] |
open
| false
| null |
[] | null | 2
| 2023-10-10T10:29:16
| 2023-10-20T18:23:05
| null |
MEMBER
| null | null | null |
Currently type inference doesn't know what to do with a Pandas Series of PIL.Image objects, though it would be nice to get a Dataset with the Image type this way
| null |
{
"url": "https://api.github.com/repos/huggingface/datasets/issues/6288/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
}
|
https://api.github.com/repos/huggingface/datasets/issues/6288/timeline
| null | null | false
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.