Datasets:
annotations_creators:
- expert-generated
language:
- en
language_creators:
- expert-generated
multilinguality:
- monolingual
pretty_name: bill_summary_us
size_categories:
- 100K<n<1M
source_datasets:
- original
tags:
- bills
- legal
task_categories:
- summarization
task_ids: []
configs:
- config_name: default
Dataset Card for "bill_summary_us"
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: BillML
- Repository: BillML
- Paper: More Information Needed
- Leaderboard: More Information Needed
- Point of Contact: More Information Needed
Dataset Summary
Dataset for summarization of summarization of US Congressional bills (bill_summary_us).
Supported Tasks and Leaderboards
Languages
English
Dataset Structure
Data Instances
default
Data Fields
- id: id of the bill in format(congress number + bill type + bill number + bill version).
- congress: number of the congress.
- bill_type: type of the bill.
- bill_number: number of the bill.
- bill_version: version of the bill.
- sections: list of bill sections with section_id, text and header.
- sections_length: number with lenght of the sections list.
- text: bill text.
- text_length: number of characters in the text.
- summary: summary of the bill.
- summary_length: number of characters in the summary.
- title: official title of the bill.
Data Splits
train
Dataset Creation
Curation Rationale
Bills (proposed laws) are specialized, structured documents with great public significance. Often, the language of a bill may not directly explain the potential impact of the legislation. For bills in the U.S. Congress, the Congressional Research Service of the Library of Congress provides professional, non-partisan summaries of bills. These are valuable for public understanding of the bills and are serve as an essential part of the lawmaking process to understand the meaning and potential legislative impact.
This dataset collects the text of bills, some metadata, as well as the CRS summaries. In order to build more accurate ML models for bill summarization it is important to have a clean dataset, alongside the professionally-written CRS summaries. ML summarization models built on generic data are bound to produce less accurate results (sometimes creating summaries that describe the opposite of a bill's actual effect). In addition, models that attempt to summarize all bills (some of which may reach 4000 pages long) may also be inaccurate due to the current limitations of summarization on long texts.
As a result, this dataset collects bill and summary information; it provides text as a list of sections with the text and header. This could be used to create a summary of sections and then a summary of summaries.
Source Data
Initial Data Collection and Normalization
The data consists of the US congress bills that were collected from the govinfo.gov service provided by the United States Government Publishing Office (GPO) under CC0-1.0 license.
Who are the source language producers?
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Licensing Information
Bill and summary information are public and are unlicensed, as it is data produced by government entities. The collection and enhancement work that we provide for this dataset, to the degree it may be covered by copyright, is released under CC0.
Citation Information
[More Information Needed]
Contributions
Thanks to @aih @BorodaUA, @alexbojko for adding this dataset.