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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 41 new columns ({'C4_theta', 'PO4_gamma', 'C3_beta', 'PO3_beta', 'unixTimestamp', 'C3_theta', 'CP3_delta', 'PO3_delta', 'F5_theta', 'C4_alpha', 'CP4_delta', 'CP3_beta', 'F5_delta', 'CP4_beta', 'C3_alpha', 'F5_gamma', 'F6_theta', 'CP3_theta', 'F6_alpha', 'F6_delta', 'PO4_theta', 'F6_beta', 'PO4_delta', 'CP3_alpha', 'PO4_alpha', 'PO3_theta', 'F5_beta', 'PO4_beta', 'C4_delta', 'PO3_alpha', 'PO3_gamma', 'CP4_alpha', 'C4_beta', 'F5_alpha', 'C3_gamma', 'C4_gamma', 'C3_delta', 'CP4_gamma', 'CP4_theta', 'F6_gamma', 'CP3_gamma'}) and 4 missing columns ({'probability', 'metric', 'timestamp', 'label'}).
This happened while the json dataset builder was generating data using
hf://datasets/neurofusion/eeg-restingstate/powerByBand/powerByBand_1674239692.json (at revision fe43ac768e0e0df525c5925edb9c27c186730b3b)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
C4_theta: double
PO4_gamma: double
C3_beta: double
PO3_beta: double
unixTimestamp: int64
C3_theta: double
CP3_delta: double
PO3_delta: double
F5_theta: double
C4_alpha: double
CP4_delta: double
CP3_beta: double
F5_delta: double
CP4_beta: double
C3_alpha: double
F5_gamma: double
F6_theta: double
CP3_theta: double
F6_alpha: double
F6_delta: double
PO4_theta: double
F6_beta: double
PO4_delta: double
CP3_alpha: double
PO4_alpha: double
PO3_theta: double
F5_beta: double
PO4_beta: double
C4_delta: double
PO3_alpha: double
PO3_gamma: double
CP4_alpha: double
C4_beta: double
F5_alpha: double
C3_gamma: double
C4_gamma: double
C3_delta: double
CP4_gamma: double
CP4_theta: double
F6_gamma: double
CP3_gamma: double
to
{'probability': Value(dtype='float64', id=None), 'metric': Value(dtype='string', id=None), 'timestamp': Value(dtype='int64', id=None), 'label': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 41 new columns ({'C4_theta', 'PO4_gamma', 'C3_beta', 'PO3_beta', 'unixTimestamp', 'C3_theta', 'CP3_delta', 'PO3_delta', 'F5_theta', 'C4_alpha', 'CP4_delta', 'CP3_beta', 'F5_delta', 'CP4_beta', 'C3_alpha', 'F5_gamma', 'F6_theta', 'CP3_theta', 'F6_alpha', 'F6_delta', 'PO4_theta', 'F6_beta', 'PO4_delta', 'CP3_alpha', 'PO4_alpha', 'PO3_theta', 'F5_beta', 'PO4_beta', 'C4_delta', 'PO3_alpha', 'PO3_gamma', 'CP4_alpha', 'C4_beta', 'F5_alpha', 'C3_gamma', 'C4_gamma', 'C3_delta', 'CP4_gamma', 'CP4_theta', 'F6_gamma', 'CP3_gamma'}) and 4 missing columns ({'probability', 'metric', 'timestamp', 'label'}).
This happened while the json dataset builder was generating data using
hf://datasets/neurofusion/eeg-restingstate/powerByBand/powerByBand_1674239692.json (at revision fe43ac768e0e0df525c5925edb9c27c186730b3b)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
label
string | probability
float64 | metric
string | timestamp
int64 |
|---|---|---|---|
calm
| 0
|
awareness
| 1,674,239,693,637
|
calm
| 0.404587
|
awareness
| 1,674,239,694,661
|
calm
| 0.29577
|
awareness
| 1,674,239,695,584
|
calm
| 0.390013
|
awareness
| 1,674,239,696,595
|
calm
| 0.485215
|
awareness
| 1,674,239,697,604
|
calm
| 0.413993
|
awareness
| 1,674,239,698,556
|
calm
| 0.442671
|
awareness
| 1,674,239,699,570
|
calm
| 0.517863
|
awareness
| 1,674,239,700,527
|
calm
| 0.447058
|
awareness
| 1,674,239,701,540
|
calm
| 0.363756
|
awareness
| 1,674,239,702,538
|
calm
| 0.228377
|
awareness
| 1,674,239,703,493
|
calm
| 0.341945
|
awareness
| 1,674,239,704,507
|
calm
| 0.22308
|
awareness
| 1,674,239,705,522
|
calm
| 0.400915
|
awareness
| 1,674,239,706,472
|
calm
| 0.325928
|
awareness
| 1,674,239,707,483
|
calm
| 0.375462
|
awareness
| 1,674,239,708,433
|
calm
| 0.468606
|
awareness
| 1,674,239,709,423
|
calm
| 0.295117
|
awareness
| 1,674,239,710,414
|
calm
| 0.508581
|
awareness
| 1,674,239,711,359
|
calm
| 0.297646
|
awareness
| 1,674,239,712,354
|
calm
| 0.403515
|
awareness
| 1,674,239,713,359
|
calm
| 0.320194
|
awareness
| 1,674,239,714,300
|
calm
| 0.398612
|
awareness
| 1,674,239,715,294
|
calm
| 0.54159
|
awareness
| 1,674,239,716,246
|
calm
| 0.4431
|
awareness
| 1,674,239,717,225
|
calm
| 0.547082
|
awareness
| 1,674,239,718,224
|
calm
| 0.318715
|
awareness
| 1,674,239,719,164
|
calm
| 0.328372
|
awareness
| 1,674,239,720,159
|
calm
| 0.460636
|
awareness
| 1,674,239,721,225
|
calm
| 0.373102
|
awareness
| 1,674,239,722,105
|
calm
| 0.423295
|
awareness
| 1,674,239,723,100
|
calm
| 0.290445
|
awareness
| 1,674,239,724,044
|
calm
| 0.436067
|
awareness
| 1,674,239,725,067
|
calm
| 0.447903
|
awareness
| 1,674,239,726,035
|
calm
| 0.377285
|
awareness
| 1,674,239,726,975
|
calm
| 0.420015
|
awareness
| 1,674,239,727,971
|
calm
| 0.282038
|
awareness
| 1,674,239,728,973
|
calm
| 0.424001
|
awareness
| 1,674,239,729,966
|
calm
| 0.410142
|
awareness
| 1,674,239,730,912
|
calm
| 0.497995
|
awareness
| 1,674,239,731,856
|
calm
| 0.374666
|
awareness
| 1,674,239,732,853
|
calm
| 0.391419
|
awareness
| 1,674,239,733,842
|
calm
| 0.378545
|
awareness
| 1,674,239,734,781
|
calm
| 0.398627
|
awareness
| 1,674,239,735,783
|
calm
| 0.303786
|
awareness
| 1,674,239,736,784
|
calm
| 0.438052
|
awareness
| 1,674,239,737,732
|
calm
| 0.287613
|
awareness
| 1,674,239,738,719
|
calm
| 0.425128
|
awareness
| 1,674,239,739,673
|
calm
| 0.408639
|
awareness
| 1,674,239,740,656
|
calm
| 0.410833
|
awareness
| 1,674,239,741,658
|
calm
| 0.32059
|
awareness
| 1,674,239,742,594
|
calm
| 0.448077
|
awareness
| 1,674,239,743,592
|
calm
| 0.494612
|
awareness
| 1,674,239,744,590
|
calm
| 0.508587
|
awareness
| 1,674,239,745,540
|
calm
| 0.318023
|
awareness
| 1,674,239,746,554
|
calm
| 0.413126
|
awareness
| 1,674,239,747,478
|
calm
| 0.401085
|
awareness
| 1,674,239,748,472
|
calm
| 0.488698
|
awareness
| 1,674,239,749,471
|
calm
| 0.432377
|
awareness
| 1,674,239,750,416
|
calm
| 0.334996
|
awareness
| 1,674,239,751,403
|
calm
| 0.488831
|
awareness
| 1,674,239,752,406
|
calm
| 0.420438
|
awareness
| 1,674,239,753,345
|
calm
| 0.327803
|
awareness
| 1,674,239,754,352
|
calm
| 0.28795
|
awareness
| 1,674,239,755,303
|
calm
| 0.447157
|
awareness
| 1,674,239,756,294
|
calm
| 0.467223
|
awareness
| 1,674,239,757,286
|
calm
| 0.452704
|
awareness
| 1,674,239,758,221
|
calm
| 0.269324
|
awareness
| 1,674,239,759,229
|
calm
| 0.311965
|
awareness
| 1,674,239,760,228
|
calm
| 0.398439
|
awareness
| 1,674,239,761,166
|
calm
| 0.46737
|
awareness
| 1,674,239,762,174
|
calm
| 0.346786
|
awareness
| 1,674,239,763,116
|
calm
| 0.44862
|
awareness
| 1,674,239,764,095
|
calm
| 0.376516
|
awareness
| 1,674,239,765,108
|
calm
| 0.320015
|
awareness
| 1,674,239,766,047
|
calm
| 0.420091
|
awareness
| 1,674,239,767,052
|
calm
| 0.433196
|
awareness
| 1,674,239,768,035
|
calm
| 0.343976
|
awareness
| 1,674,239,768,977
|
calm
| 0.410814
|
awareness
| 1,674,239,769,971
|
calm
| 0.301924
|
awareness
| 1,674,239,770,919
|
calm
| 0.420868
|
awareness
| 1,674,239,771,909
|
calm
| 0.401721
|
awareness
| 1,674,239,772,909
|
calm
| 0.308095
|
awareness
| 1,674,239,773,846
|
calm
| 0.411579
|
awareness
| 1,674,239,774,848
|
calm
| 0.42613
|
awareness
| 1,674,239,775,853
|
calm
| 0.404882
|
awareness
| 1,674,239,776,790
|
calm
| 0.391523
|
awareness
| 1,674,239,777,777
|
calm
| 0.407025
|
awareness
| 1,674,239,778,729
|
calm
| 0.551351
|
awareness
| 1,674,239,779,718
|
calm
| 0.434852
|
awareness
| 1,674,239,780,722
|
calm
| 0.51554
|
awareness
| 1,674,239,781,725
|
calm
| 0.481248
|
awareness
| 1,674,239,782,663
|
calm
| 0.558905
|
awareness
| 1,674,239,783,665
|
calm
| 0.401132
|
awareness
| 1,674,239,784,592
|
calm
| 0.421062
|
awareness
| 1,674,239,785,596
|
calm
| 0.437092
|
awareness
| 1,674,239,786,536
|
calm
| 0.436831
|
awareness
| 1,674,239,787,534
|
calm
| 0.524974
|
awareness
| 1,674,239,788,534
|
calm
| 0.434957
|
awareness
| 1,674,239,789,468
|
calm
| 0.443377
|
awareness
| 1,674,239,790,479
|
End of preview.
Dataset Card for Dataset Name
Dataset Summary
This is a dataset of EEG data & derived metrics recorded on the Fusion platform from a single particpant through the course of a week.
Task: Eyes closed for 10mins at least twice a day. Participant also gave a short summary at the start of every recording in events.csv
Device: Neurosity Crown - 8 channels [CP3, C3, F5, PO3, PO4, F6, C4, CP4]
Dataset Structure
Data Instances
All dataset are timeseries with a unixTimestamp column. Generated by using the Neurosity brainwaves api
- rawBrainwaves: voltage readings across eeg channels
- signalQuality: standard deviation values & label (great, good, poor, noContact) per channel
- powerByBand: computed eeg power per channel (i.e CP3_delta, CP3_theta, CP3_alpha, CP3_beta, CP3_gamma)
- focus: prediction of user focus based on gamma waves.
- calm: prediction of user calm based on alpha waves.
Data Splits
Each dataset is suffixed with *_unixTimestamp which represents the time of recording.
Additional Information
Dataset Curators
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