@inproceedings{gerald-etal-2024-introducing,
    title = "Introducing {CQ}u{AE} : A New {F}rench Contextualised Question-Answering Corpus for the Education Domain",
    author = "Gerald, Thomas  and
      Vilnat, Anne  and
      Ettayeb, Sofiane  and
      Tamames, Louis  and
      Paroubek, Patrick",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.808",
    pages = "9234--9244",
    abstract = "We present a new question answering corpus in French designed to educational domain. To be useful in such domain, we have to propose more complex questions and to be able to justify the answers on validated material. We analyze some properties of this corpus. The last part of this paper will be devoted to present the first experiments we have carried out to demonstrate the value of this dataset for learning a Retrieval Augmented Genration framework. Different experiments are proposed, with an automatic evaluation. A human evaluation is proposed to confirm or infirm this automatic evaluation.",
}

We present a new question answering corpus in French designed to educational domain. To be useful in such domain, we have to propose more complex questions and to be able to justify the answers on validated material. We analyze some properties of this corpus. The last part of this paper will be devoted to present the first experiments we have carried out to demonstrate the value of this dataset for learning a Retrieval Augmented Genration framework. Different experiments are proposed, with an automatic evaluation. A human evaluation is proposed to confirm or infirm this automatic evaluation.
Gerald, Thomas Vilnat, Anne Ettayeb, Sofiane Tamames, Louis Paroubek, Patrick
Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain