HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable question answering systems. It is collected by a team of NLP researchers at Carnegie Mellon University, Stanford University, and Université de Montréal.
For more details about HotpotQA, please refer to our EMNLP 2018 paper: (Yang, Qi, Zhang, et al. 2018)