Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
metadata
annotations_creators:
- found
language_creators:
- found
languages:
- en
licenses:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization
Dataset Card for "billsum"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/FiscalNote/BillSum
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 64.14 MB
- Size of the generated dataset: 259.80 MB
- Total amount of disk used: 323.94 MB
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
Languages
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
: astring
feature.summary
: astring
feature.title
: astring
feature.
Data Splits Sample Size
name | train | ca_test | test |
---|---|---|---|
default | 18949 | 1237 | 3269 |
Dataset Creation
Curation Rationale
Source Data
Annotations
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
@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.