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Dataset: piaf 🏷
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Dataset Card for "piaf"

Table of Contents

Dataset Description

Dataset Summary

Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia.

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

plain_text

  • Size of downloaded dataset files: 1.31 MB
  • Size of the generated dataset: 3.18 MB
  • Total amount of disk used: 4.49 MB

An example of 'train' looks as follows.

{
    "answers": {
        "answer_start": [0],
        "text": ["Voici"]
    },
    "context": "Voici le contexte du premier paragraphe du deuxième article.",
    "id": "p140295460356960",
    "question": "Suis-je la troisième question ?",
    "title": "Jakob Böhme"
}

Data Fields

The data fields are the same among all splits.

plain_text

  • id: a string feature.
  • title: a string feature.
  • context: a string feature.
  • question: a string feature.
  • answers: a dictionary feature containing:
    • text: a string feature.
    • answer_start: a int32 feature.

Data Splits Sample Size

name train
plain_text 3835

Dataset Creation

Curation Rationale

More Information Needed

Source Data

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Annotations

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@InProceedings{keraron-EtAl:2020:LREC,
  author    = {Keraron, Rachel  and  Lancrenon, Guillaume  and  Bras, Mathilde  and  Allary, Frédéric  and  Moyse, Gilles  and  Scialom, Thomas  and  Soriano-Morales, Edmundo-Pavel  and  Staiano, Jacopo},
  title     = {Project PIAF: Building a Native French Question-Answering Dataset},
  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month          = {May},
  year           = {2020},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {5483--5492},
  abstract  = {Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.673}
}