--- annotations_creators: - found language_creators: - found language: - en license: - cc0-1.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - summarization task_ids: [] paperswithcode_id: billsum pretty_name: BillSum tags: - bills-summarization dataset_info: features: - name: text dtype: string - name: summary dtype: string - name: title dtype: string splits: - name: train num_bytes: 219596090 num_examples: 18949 - name: test num_bytes: 37866257 num_examples: 3269 - name: ca_test num_bytes: 14945291 num_examples: 1237 download_size: 113729382 dataset_size: 272407638 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: ca_test path: data/ca_test-* train-eval-index: - config: default task: summarization task_id: summarization splits: train_split: train eval_split: test col_mapping: text: text summary: target metrics: - type: rouge name: Rouge --- # Dataset Card for "billsum" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://github.com/FiscalNote/BillSum](https://github.com/FiscalNote/BillSum) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** https://aclanthology.org/D19-5406/ - **Paper:** https://arxiv.org/abs/1910.00523 - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of downloaded dataset files:** 67.26 MB - **Size of the generated dataset:** 272.42 MB - **Total amount of disk used:** 339.68 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 and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 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`: 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 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](https://github.com/unitedstates/congress) 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](https://leginfo.legislature.ca.gov/). #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 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](https://github.com/thomwolf), [@jplu](https://github.com/jplu), [@lewtun](https://github.com/lewtun) for adding this dataset.