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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:    ZstdError
Message:      zstd decompress error: Unknown frame descriptor
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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 718, in __iter__
                  for key, example in self._iter():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 708, in _iter
                  yield from ex_iterable
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 112, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/the_pile_openwebtext2/8e87bac72189eee1da63597830e283cb4aba4de9689b4cf7c885790bd13cd38d/the_pile_openwebtext2.py", line 84, in _generate_examples
                  for document, metadata in reader.read_jsonl(file_path, get_meta=True):
                File "/tmp/modules-cache/datasets_modules/datasets/the_pile_openwebtext2/8e87bac72189eee1da63597830e283cb4aba4de9689b4cf7c885790bd13cd38d/the_pile_openwebtext2.py", line 103, in read_jsonl
                  for line in reader:
              zstd.ZstdError: zstd decompress error: Unknown frame descriptor

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Dataset Card for the_pile_openwebtext2

Dataset Summary

OpenWebText2 is part of EleutherAi/The Pile dataset and is an enhanced version of the original OpenWebTextCorpus covering all Reddit submissions from 2005 up until April 2020, with further months becoming available after the corresponding PushShift dump files are released.

|download_size|27.3 Gib| |dataset_size|63.8 Gib|

Supported Tasks and Leaderboards

This dataset is used for Language Modeling.

Languages

This dataset is in English.

Dataset Structure

Data Instances

This example was too long and was cropped:

{'title': Xiaomi Mi Note 10 Gearbest Coupon Promo Code [6+128GB] [France Warehouse],
'text': '27% off Xiaomi Mi Note 10 (CC9 Pro) 108MP Penta Camera Mobile Phone Global Version Online Smartphone – Black Gearbest Coupon Promo Code\n\nGearbest Coupon Price :$439.99\n\nRegular Price : $603.19 Your Save : $163.20 Coupon Limit: 100 times Warehouse: France Expires : September 30, 2020 Coupon Valid for...',
'reddit_scores': [6],}

Data Fields

  • title: title of the web page
  • text: text content of the web page
  • reddit_scores: scores of the reddit submissions that mention this web page, as a list of integers

Data Splits

|split|num examples|

|train|17103059|

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

[Needs More Information]

Citation Information

@article{pile,
    title={The {P}ile: An 800GB Dataset of Diverse Text for Language Modeling},
    author={Gao, Leo and Biderman, Stella and Black, Sid and Golding, Laurence and Hoppe, Travis and Foster, Charles and Phang, Jason and He, Horace and Thite, Anish and Nabeshima, Noa and Presser, Shawn and Leahy, Connor},
    journal={arXiv preprint arXiv:2101.00027},
    year={2020}
}

Contributions

researcher2 Wrote much of this code, with inspiration and some straight copying of the scraping code found here.
sdtblck kindly put together the Colab notebook, and performed a chunk of the scraping.
leogao2 provided overall design guidance, lm_dataformat, and performed another chunk of scraping.
Colaboratory VMs helped with about 10% of our overall scraping.
The Eye host the processed datasets.
Read The Docs host our documentation.

@richarddwang added this dataset to HF/datasets.

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