aviary.hotpotqa

HotPotQA environment implemented with aviary, allowing agents to perform multi-hop question answering on the HotPotQA dataset.

References

[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

Installation

To install the HotPotQA environment, run the following command:

pip install fhaviary[hotpotqa]