thibault-baneras-roux/HATS-fr

🗃️ HATS Dataset HATS (Human Assessed Transcription Side-by-Side) is a data set for French 🇫🇷 which consists of 1,000 triplets (reference, hypothesis A, hypothesis B) and 7,150 human choice annotated by 143 subjects 🫂 Their objective was to select, given a textual reference, which of two erroneous hypotheses is the best. Curated by: Thibault Bañeras-Roux, Richard Dufour, Jane Wottawa, Mickael Rouvier, Teva Merlin Funded by: Agence Nationale de la Recherche - DIETS… See the full description on the dataset page: https://huggingface.co/datasets/thibault-baneras-roux/HATS-fr.