We provide the following:
- Annotations-contains all Question-Answer-Explanation sets
- UD, PS, UN Train/Val/Test Splits (vanilla hard negative mining version)
- CausalConfusion set
Please consider citing our work:
@article{causalchaos2024,
title={CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes},
author={Parmar, Paritosh and Peh, Eric and Chen, Ruirui and Lam, Ting En and Chen, Yuhan and Tan, Elston and Fernando, Basura},
journal={arXiv preprint arXiv:2404.01299},
year={2024}
}