gtfintechlab/CoCoHD_transcripts

43 downloads in 30 days4 likesLast modified 25 Dec 2024View on Hugging Face

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: cc, from the tagEvidence: README.md at c3cc930
Licence files: No licence file at the top level of the repositoryEvidence: file list at c3cc930
Declared sources: None listed in the card metadata
Access gated on Hugging Face: Yes

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@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 sho

All datasets marked Unclear | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "gtfintechlab/CoCoHD_transcripts" })
signal: "unclear"
stated_licence: "cc"
sources: 0