LeviatanAIResearch/cross-encoder-binary-context-quesion-v3

This is a dataset for training a mixed cross-encoder. The purpose of the cross-encoder is to calculate not only a relevance score between a question and a context (whether the answer to the question can be found in the document or not) but also to calculate a similarity score between two sentences. This dataset is a combination of the PIAF, FQuAD, SQuAD-French, pandora-s-fr, and stsd-fr datasets.