# Project PIAF: Building a Native French Question-Answering Dataset

Source: [Project PIAF: Building a Native French Question-Answering Dataset](<https://www.sota2.com/research/paper/68fa67d11e209131cea18a6d>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-01-04T03:15:40.046Z

Authors: Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Fr\\'ed\\'eric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano

Published: 2020-07-02T08:59:15.000Z

## 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2007.00968>)

[PDF](<https://arxiv.org/pdf/2007.00968.pdf>)

[Implementation](<https://github.com/etalab/piaf>)