Datasets:
metadata
annotations_creators:
- expert-generated
language:
- en
language_creators:
- expert-generated
license: []
multilinguality:
- monolingual
pretty_name: bill_summarization
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- bills
task_categories:
- summarization
task_ids: []
Dataset Card for "bill_summarization"
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/dreamproit/BillML
- Repository: More Information Needed
- Paper: More Information Needed
- Leaderboard: More Information Needed
- Point of Contact: More Information Needed
Dataset Summary
bill_summarization, summarization of US Congressional bills.
Supported Tasks and Leaderboards
Languages
English
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 186 MB
- Total amount of disk used: 177 MB
Data Fields
- id: id of the bill.
- sections: list of bill sections with section_id and text.
- text: bill text.
- text_len: number of chars in text.
- summary: summary of the bill.
- summary_len: number of chars in summary.
- title: official title of the bill.
Data Splits
No splits.
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
The data consists of the US congress bills that were collected from the Govinfo 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
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @BorodaUA for adding this dataset.