GDN-CC-large: Automatically Annotated Corpus Clarification for Democratic Consultations

An automatically annotated dataset for the Corpus Clarification task, introduced in a 2026 paper by Lequeu et al. The dataset transforms noisy, multi-topic citizen contributions from the Grand Débat National into structured data. It was authored by LequeuISIR and last updated on Hugging Face in April 2026.

Use Cases

• Preprocessing noisy citizen contributions based on the described Corpus Clarification framework.
• Structuring multi-topic text data for analysis in political science and democratic studies.
• Training or evaluating models for automatic text clarification and topic disentanglement.
• Supporting AI-enhanced analysis of large-scale democratic consultation data.

Strengths

• Dataset is based on contributions from the Grand Débat National, a major French democratic consultation.
• Annotations are applied automatically for the specific task of Corpus Clarification.
• Last updated on the platform in April 2026, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, limiting suitability assessment.
• Data may reflect geographic and temporal bias inherent to its single consultation source.

Provenance

Source

Grand Débat National citizen contributions, processed by the authors.

Collection Method

Automatic annotation for the Corpus Clarification task.

Time Range

Temporal coverage of the original Grand Débat National consultation is not specified.

Freshness

Last updated 2026-04-28 14:51:42.

Geography

Likely France, based on the source consultation, but not explicitly stated.