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

arXiv: https://arxiv.org/abs/2007.00968 · HTML: https://mlsanity.com/paper/2007.00968/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jul 2020.

## Built on by (most cited first, 13 of 13)

- [QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension](https://mlsanity.com/paper/2107.12708/) (2021)
- [The Lucie-7B LLM and the Lucie Training Dataset: Open resources for multilingual language generation](https://mlsanity.com/paper/2503.12294/) (2025)
- [On the Usability of Transformers-based models for a French Question-Answering task](https://mlsanity.com/paper/2207.09150/) (2022)
- [FQuAD2.0: French Question Answering and knowing that you know nothing](https://mlsanity.com/paper/2109.13209/) (2021)
- [Alloprof: a new French question-answer education dataset and its use in an information retrieval case study](https://mlsanity.com/paper/2302.07738/) (2023)
- [The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents](https://mlsanity.com/paper/2304.01412/) (2023)
- [A Survey on non-English Question Answering Dataset](https://mlsanity.com/paper/2112.13634/) (2021)
- [TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya](https://mlsanity.com/paper/2404.17194/) (2024)
- [MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs](https://mlsanity.com/paper/2505.19800/) (2025)
- [StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning](https://mlsanity.com/paper/2311.09756/) (2023)
- [COLE: a Comprehensive Benchmark for French Language Understanding Evaluation](https://mlsanity.com/paper/2510.05046/) (2025)
- [Pantagruel: Unified Self-Supervised Encoders for French Text and Speech](https://mlsanity.com/paper/2601.05911/) (2026)
- [When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents](https://mlsanity.com/paper/2602.10384/) (2026)

## Abstract (arXiv)

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.