Datasets:
openwebtext

Tasks: language-modeling masked-language-modeling

Task Categories: text-generation fill-mask

Languages: English

Multilinguality: monolingual

Size Categories: 1M<n<10M

Language Creators: found

Annotations Creators: no-annotation

Source Datasets: original

Licenses: cc0-1.0

Dataset card Files Files and versions Community

Dataset Preview Go to dataset viewer

The dataset preview is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    TypeError
Message:      extract() got an unexpected keyword argument 'num_proc'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/responses/first_rows.py", line 337, in get_first_rows_response
                  rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token)
                File "/src/services/worker/src/worker/utils.py", line 123, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/responses/first_rows.py", line 65, in get_rows
                  ds = load_dataset(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1739, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1025, in as_streaming_dataset
                  splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}
                File "/tmp/modules-cache/datasets_modules/datasets/openwebtext/85b3ae7051d2d72e7c5fdf6dfb462603aaa26e9ed506202bf3a24d261c6c40a1/openwebtext.py", line 68, in _split_generators
                  ex_dirs = dl_manager.extract(subset_xzs, num_proc=round(os.cpu_count() * 0.75))
              TypeError: extract() got an unexpected keyword argument 'num_proc'

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Dataset Card for "openwebtext"

Dataset Summary

An open-source replication of the WebText dataset from OpenAI.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

plain_text

Size of downloaded dataset files: 12880.03 MB
Size of the generated dataset: 39769.50 MB
Total amount of disk used: 52649.52 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "text": "\"A magazine supplement with an image of Adolf Hitler and the title 'The Unreadable Book' is pictured in Berlin. No law bans “Mei..."
}

Data Fields

The data fields are the same among all splits.

plain_text

text: a string feature.

Data Splits

name	train
plain_text	8013769

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

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Annotations

Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@misc{Gokaslan2019OpenWeb,
    title={OpenWebText Corpus},
    author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},
    howpublished{\url{http://Skylion007.github.io/OpenWebTextCorpus}},
    year={2019}
}