HotPotQA environment implemented with aviary, allowing agents to perform multi-hop question answering on the HotPotQA dataset.
[1] Yang et al. HotpotQA: A Dataset for Diverse, Explainable Multi-Hop Question Answering. EMNLP, 2018.
[2] Yao et al., ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations. 2023
To install the HotPotQA environment, run the following command:
pip install fhaviary[hotpotqa]