Datasets:
task_categories:
- text-generation
language:
- en
pretty_name: UK Hansard
UK Hansard
Description
Hansard represents the official record of parliamentary proceedings across the United Kingdom’s legislative bodies. This dataset incorporates records from multiple sources, including debates and written answers from the UK Commons and Lords, devolved legislatures (Scottish Parliament, Senedd in both English and Welsh, Northern Ireland Assembly), London Mayor’s Questions, and ministerial statements. Data was sourced from ParlParse, covering Commons debates from 1918 forward and Lords proceedings from the 1999 reform. Each document was processed to preserve complete parliamentary sessions as cohesive units, maintaining the natural flow of debate. All content is published under the Open Parliament License.
Dataset Statistics
Documents | UTF-8 GB |
---|---|
47,909 | 9.6 |
License Issues
While we aim to produce datasets with completely accurate licensing information, license laundering and inaccurate metadata can cause us to erroneously assign the incorrect license to some documents (for further discussion of this limitation, please see our paper). If you believe you have found an instance of incorrect licensing in this dataset, please start a discussion on this repository.
Other Versions
This is the "filtered" version of the UK Hansard dataset. If you are looking for the raw version, you can find it here.
Citation
If you use this dataset, please cite:
@article{kandpal2025common,
title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
author={Nikhil Kandpal and Brian Lester and Colin Raffel and Sebastian Majstorovic and Stella Biderman and Baber Abbasi and Luca Soldaini and Enrico Shippole and A. Feder Cooper and Aviya Skowron and Shayne Longpre and Lintang Sutawika and Alon Albalak and Zhenlin Xu and Guilherme Penedo and Loubna Ben and Elie Bakouch and John David and Honglu Fan and Dashiell Stander and Guangyu Song and Aaron Gokaslan and John Kirchenbauer and Tom Goldstein and Brian R and Bhavya Kailkhura and Tyler Murray},
journal={arXiv preprint},
year={2025}
}