README.md

metadata

license: cc-by-nc-sa-4.0
language:
  - fr
configs:
  - config_name: qfrcola
    data_files:
      - split: train
        path: train.jsonl
      - split: validation
        path: dev.jsonl
      - split: test
        path: test.jsonl
pretty_name: QFrCoLA
size_categories:
  - 10K<n<100K

QFrCoLA Dataset Card

The QFrCoLA: a Quebec-French Corpus of Linguistic Acceptability Judgments

Dataset Summary

QFrCoLA is a french dataset made from multiple french language sites such as académie-française.fr and vitrinelinguistique.com. It aims to tests models ability to determine a sentence's acceptability in french on subjects such as grammar and syntax. The answer is a binary label indicating if the sentence is correct or not.

Dataset structure

{
 "label": 1,
 "sentence": "Je vous en prie, soyez bref.",
 "source": "https://vitrinelinguistique.oqlf.gouv.qc.ca/...",
 "category": "anglicism"
}

Dataset Statistics

split	# examples
train	15846
validation	1761
test	7546

Dataset Specs

• Language: French
• License: CC-BY-NC-SA-4.0

Dataset Sources

• Repository: Données Québec
• Paper: [More Information Needed]

Citation

BibTeX:

@inproceedings{beauchemin2025qfrcola,
  title={QFrCoLA: a Quebec-French Corpus of Linguistic Acceptability Judgments},
  author={Beauchemin, David and Khoury, Richard},
  booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  pages={119--130},
  year={2025}
}