Datasets:
Modalities:
Text
Sub-tasks:
masked-language-modeling
Languages:
English
Size:
1M - 10M
ArXiv:
License:
Ekin Akyürek commited on
Commit ·
9144d3d
1
Parent(s): 22b8de6
update README
Browse files
README.md
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#### Abstracts
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- **Size of downloaded dataset files:** 112 MB
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- **Size of the generated dataset:** 884 MB
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- **Total amount of disk used:** 996 MB
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-
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```
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{"inputs_pretokenized": "The name Austroasiatic comes from the Latin words for \"south\" and \"Asia\", hence \"<extra_id_0>\".",
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"targets_pretokenized": "<extra_id_0> South Asia",
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#### Queries
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- **Size of downloaded dataset files:** 1.7 MB
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- **Size of the generated dataset:** 8.9 MB
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- **Total amount of disk used:** 10.6 MB
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```
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{"inputs_pretokenized": "Paul Ehrlich used to work in <extra_id_0> .",
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"targets_pretokenized": "<extra_id_0> Frankfurt",
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```
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### Data Fields
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The data fields are the same among all splits.
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#### Abstracts
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- `inputs_pretokenized`: a string feature.
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- `targets_pretokenized`: a string feature.
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#### Abstracts
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- **Size of downloaded dataset files:** 112 MB
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- **Size of the generated dataset:** 884 MB
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- **Total amount of disk used:** 996 MB
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An example of 'abstract' looks as follows.
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```
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{"inputs_pretokenized": "The name Austroasiatic comes from the Latin words for \"south\" and \"Asia\", hence \"<extra_id_0>\".",
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"targets_pretokenized": "<extra_id_0> South Asia",
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#### Queries
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- **Size of downloaded dataset files:** 1.7 MB
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- **Size of the generated dataset:** 8.9 MB
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- **Total amount of disk used:** 10.6 MB
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An example of 'query' looks as follows.
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```
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{"inputs_pretokenized": "Paul Ehrlich used to work in <extra_id_0> .",
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"targets_pretokenized": "<extra_id_0> Frankfurt",
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```
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### Data Fields
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The data fields are the same among all splits.
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#### Abstracts
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- `inputs_pretokenized`: a string feature.
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- `targets_pretokenized`: a string feature.
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