Datasets:
Tasks:
Question Answering
Languages:
French
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
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Dataset Card for Piaf
Dataset Summary
Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia.
Supported Tasks and Leaderboards
Languages
Dataset Structure
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
: astring
feature.title
: astring
feature.context
: astring
feature.question
: astring
feature.answers
: a dictionary feature containing:text
: astring
feature.answer_start
: aint32
feature.
Data Splits
name | train |
---|---|
plain_text | 3835 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
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}
}
Contributions
Thanks to @lewtun, @lhoestq, @thomwolf, @albertvillanova, @RachelKer for adding this dataset.
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Question Answering
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