Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
bills-summarization
License:
| 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. |