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Dataset · Text generation

comparia-fr-arena

by Ministère de la Culture (SNUM) ministere-culture/comparia-fr-arena

Compar:IA is a public chatbot arena run by the French Ministry of Culture. People chat with two anonymous models side by side and say which answer they prefer. This dataset is the result.

Rows—
Configurations—
Size9.4 GB
Licenseetalab-2.0
AccessAccess requested at publisher
Monthly Downloads227

Dataset Card

Compar:IA is a public chatbot arena run by the French Ministry of Culture. People chat with two anonymous models side by side and say which answer they prefer. This dataset is the result. Each row is one turn of a conversation: the two models' answers to the same user message, the preference the user gave on that turn (if any), and the full conversation both answers belong to. The prompts come from real users, most of them writing in French. With 675k response pairs and 208k human preferences over 115+ models, it is one of the larger French preference datasets available for training and evaluating chat models. A user sends a prompt and gets back two answers from two anonymous models. The…

Excerpt from the card by Ministère de la Culture (SNUM), licensed etalab-2.0.

Details

Repository
ministere-culture/comparia-fr-arena
Publisher
Ministère de la Culture (SNUM)
Task category
Text generation
Tags
chatbot-arena, human-feedback, preferences
Size category
100K<n<1M
Languages
fr
Revision
3c59a5e926c5f8313ea29de413394782f4b5685a
Last updated
2026-10-17

Files

7 files, 9.4 GB in total.

Data5 files · 9.4 GB
Documentation1 file · 14.5 KB
Repository1 file · 2.6 KB
Every file
FileTypeSizeSHA-256
comparia-fr-arena.parquetData9.3 GB—
comparia-fr-arena_samples.jsonlData39.4 MB—
comparia-fr-arena_samples.tsvData36.2 MB—
models.jsonData178.6 KB—
vote_tags.jsonData870 B—
README.mdDocumentation14.5 KB—
.gitattributesRepository2.6 KB—

License and Download

License
etalab-2.0
Access
Access requested at publisher
Request access from Ministère de la Culture (SNUM)

Ministère de la Culture (SNUM) grants access through its official repository on Hugging Face.