Project PIAF: Building a Native French Question-Answering Dataset
This addresses the problem of data scarcity for French question answering, providing a resource for researchers and practitioners, though it is incremental as it extends existing data collection methods to a new language.
The authors tackled the lack of non-English data for question answering by creating a native French dataset through a participatory effort, and they released the annotation tool, data, and preliminary baselines.
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.