| | --- |
| | language: |
| | - en |
| | tags: |
| | - legal |
| | - finance |
| | - climate |
| | - social |
| | pretty_name: 'CoCoHD: Congress Committee Hearing Dataset - Transcripts' |
| | size_categories: |
| | - 10K<n<100K |
| | license: cc |
| | --- |
| | |
| | ## Dataset Summary |
| |
|
| | The Congress Committee Hearing Dataset (CoCoHD) Transcripts comprises transcripts from congressional (House and Senate) hearings from 1997 to 2024. |
| |
|
| | This dataset is designed to facilitate research in natural language processing (NLP). It contains 30k+ U.S. congressional hearing transcripts from the 105th Congress to the 118th. |
| |
|
| | ## Dataset Structure |
| |
|
| | The hearing transcripts of each Congress session are kept in a folder and in text format. |
| |
|
| | ### Related Datasets |
| |
|
| | - [CoCoHD Hearing Details](https://huggingface.co/datasets/gtfintechlab/CoCoHD_hearing_details): This dataset provides comprehensive metadata for each congressional hearing, including information such as the hearing title, date, committee, and witnesses. |
| |
|
| | - [CoCoHD Hearing Details Cleaned](https://huggingface.co/datasets/gtfintechlab/CoCoHD_hearing_details_cleaned): A refined version of the hearing details dataset, this collection has been processed to correct inconsistencies, standardize committee names, and remove duplicate or erroneous records, ensuring higher data quality for analysis. |
| |
|
| | These datasets offer valuable metadata that complements the CoCoHD transcripts, enabling more detailed and accurate analyses of congressional hearings. |
| |
|
| | ## Licensing |
| |
|
| | The CoCoHD Transcripts dataset is released under the [CC BY-NC 4.0 license](https://creativecommons.org/licenses/by-nc/4.0/). This permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| |
|
| | ## Citation |
| |
|
| | If you utilize this dataset in your research, please cite it as follows: |
| |
|
| | ``` |
| | @inproceedings{hiray-etal-2024-cocohd, |
| | title = "{C}o{C}o{HD}: Congress Committee Hearing Dataset", |
| | author = "Hiray, Arnav and |
| | Liu, Yunsong and |
| | Song, Mingxiao and |
| | Shah, Agam and |
| | Chava, Sudheer", |
| | editor = "Al-Onaizan, Yaser and |
| | Bansal, Mohit and |
| | Chen, Yun-Nung", |
| | booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024", |
| | month = nov, |
| | year = "2024", |
| | address = "Miami, Florida, USA", |
| | publisher = "Association for Computational Linguistics", |
| | url = "https://aclanthology.org/2024.findings-emnlp.911", |
| | doi = "10.18653/v1/2024.findings-emnlp.911", |
| | pages = "15529--15542", |
| | abstract = "U.S. congressional hearings significantly influence the national economy and social fabric, impacting individual lives. Despite their importance, there is a lack of comprehensive datasets for analyzing these discourses. To address this, we propose the **Co**ngress **Co**mmittee **H**earing **D**ataset (CoCoHD), covering hearings from 1997 to 2024 across 86 committees, with 32,697 records. This dataset enables researchers to study policy language on critical issues like healthcare, LGBTQ+ rights, and climate justice. We demonstrate its potential with a case study on 1,000 energy-related sentences, analyzing the Energy and Commerce Committee{'}s stance on fossil fuel consumption. By fine-tuning pre-trained language models, we create energy-relevant measures for each hearing. Our market analysis shows that natural language analysis using CoCoHD can predict and highlight trends in the energy sector.", |
| | } |
| | ``` |
| |
|
| | ## GitHub Link |
| | - [Link to our GitHub repository.](https://github.com/gtfintechlab/CoCoHD) |
| |
|
| |
|
| | ## Contact Information |
| |
|
| | Please contact Agam Shah (ashah482[at]gatech[dot]edu) for any issues and questions. |
