All datasets / LequeuISIR
LequeuISIR/GDN-CC
The checks could not identify a recognised licence ID for at least one declared source dataset.
- Declared licence
- mit, from the tagEvidence: README.md at fa815a8
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at fa815a8
- Declared sources
- 1
- Access gated on Hugging Face
- No
Sources listed in the card metadata
- Grand Débat Nationalnot foundUnclear
Tasks
Citation text from the card
@inproceedings{lequeu-etal-2026-gdn,
title = "The {GDN}-{CC} Dataset: Automatic Corpus Clarification for {AI}-enhanced Democratic Citizen Consultations",
author = {Lequeu, Pierre-Antoine and
Labat, L{\'e}o and
Cave, Laur{\`e}ne and
Lejeune, Ga{\"e}l and
Yvon, Fran{\c{c}}ois and
Piwowarski, Benjamin},
editor = "Liakata, Maria and
Moreira, Viviane P. and
Zhang, Jiajun and
Jurgens, David",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-long.1523/",
doi = "10.18653/v1/2026.acl-long.1523",
pages = "32976--33006",
ISBN = "979-8-89176-390-6",
abstract = "LLMs are ubiquitous in modern NLP, and while their applicability extends to texts produced for democratic activities such as online deliberations or large-scale citizen consultations, ethical questions have been raised for their usage as analysis tools. We continue this line of research with two main goals: (a) to develop resources that can help standardize citizen contributions in public forums at the \textbf{pragmatic level}, and make them easier to use in topic modeling and political analysis; (b) to study how well this standardization can reliably be performed by sm
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dataset_licence({ "id": "LequeuISIR/GDN-CC" })
signal: "unclear"
stated_licence: "mit"
sources: 1