Dataset:
billsum

Task Categories: conditional-text-generation
Languages: en
Multilinguality: monolingual
Size Categories: 10K<n<100K
Licenses: unknown
Language Creators: found
Annotations Creators: found
Source Datasets: original

Dataset Card for "billsum"

Dataset Summary

BillSum, summarization of US Congressional and California state bills.

There are several features:

  • text: bill text.
  • summary: summary of the bills.
  • title: title of the bills. features for us bills. ca bills does not have.
  • text_len: number of chars in text.
  • sum_len: number of chars in summary.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

  • Size of downloaded dataset files: 64.14 MB
  • Size of the generated dataset: 259.80 MB
  • Total amount of disk used: 323.94 MB

An example of 'train' looks as follows.

{
    "summary": "some summary",
    "text": "some text.",
    "title": "An act to amend Section xxx."
}

Data Fields

The data fields are the same among all splits.

default

  • text: a string feature.
  • summary: a string feature.
  • title: a string feature.

Data Splits

name train ca_test test
default 18949 1237 3269

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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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{kornilova2019billsum,
    title={BillSum: A Corpus for Automatic Summarization of US Legislation},
    author={Anastassia Kornilova and Vlad Eidelman},
    year={2019},
    eprint={1910.00523},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

Contributions

Thanks to @thomwolf, @jplu, @lewtun for adding this dataset.

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