2020.12~2021.02 Internship @ Yonsei Univ. DILab
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Glove: Stanford's GloVe 100d word embeddings
AIR-Retriever: Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
- Download Dataset and Model and put it into the same directory
- Prepare requirement for AIR-retriever. (Check readme.md)
- Change directory of Air-Retreiver files. Check
readme.txt
Input data name is 'hotpot_modded_train.json
' and 'hotpot_modded_dev
' as we first convert HotPotQA to MultiRC to fit into AIR-Retriever - Run
Dataset-Builder.ipynb
- Use
hotpot_dev_distractor_made.json
to other QA models!