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LequeuISIR/GDN-CC

163 downloads in 30 days4 likesLast modified 14 Sep 2026View on Hugging Face
Unclear

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
LequeuISIR/GDN-CCLequeuISIR/GDN-CCmit: declared licencemitdeclared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗Grand Débat National: not found on the HubGrand Débat N…not found on the …nothing to open
LequeuISIR/GDN-CCLequeuISIR/GDN-…mit: declared licencemitdeclared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗Grand Débat National: not found on the HubGrand Débat N…not found on the …nothing to open
Each cell links to what was checked: a file, a file list or a Hub record.

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