jotamunz/billsum_tiny_summarization
Summarization
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Updated
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10.3k
Datasets:
Tasks:
Summarization
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
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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
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 67.26 MB
- Size of the generated dataset: 272.42 MB
- Total amount of disk used: 339.68 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: astringfeature.summary: astringfeature.title: astringfeature.
Data Splits
| name | train | ca_test | test |
|---|---|---|---|
| default | 18949 | 1237 | 3269 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
The data consists of three parts: US training bills, US test bills and California test bills. The US bills were collected from the Govinfo service provided by the United States Government Publishing Office (GPO) under CC0-1.0 license. The California, bills from the 2015-2016 session are available from the legislature’s website.
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@inproceedings{kornilova-eidelman-2019-billsum,
title = "{B}ill{S}um: A Corpus for Automatic Summarization of {US} Legislation",
author = "Kornilova, Anastassia and
Eidelman, Vladimir",
editor = "Wang, Lu and
Cheung, Jackie Chi Kit and
Carenini, Giuseppe and
Liu, Fei",
booktitle = "Proceedings of the 2nd Workshop on New Frontiers in Summarization",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-5406",
doi = "10.18653/v1/D19-5406",
pages = "48--56",
eprint={1910.00523},
archivePrefix={arXiv},
primaryClass={cs.CL},
}
Contributions
Thanks to @thomwolf, @jplu, @lewtun for adding this dataset.
- Downloads last month
- 10,023
Homepage:
github.com
Paper:
aclanthology.org
Paper:
arxiv.org
Size of downloaded dataset files:
114 MB
Size of the auto-converted Parquet files:
114 MB
Number of rows:
23,455
