Black Swan (Abductive and Defeasible Reasoning)
Collection
Data for CVPR 2025 paper, "Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events"
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Black Swan Suite (Y/N Variant)
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events
Aditya Chinchure*, Sahithya Ravi*, Raymond Ng, Vered Shwartz, Boyang Li, Leonid Sigal (* equal)
🎉 Accepted at CVPR 2025
arXiv | Website
Dataset Information
Black Swan has three variants of questions. Please find the data in the appropriate repositories:
- BlackSwanSuite-Gen -- link
- BlackSwanSuite-MCQ -- link
- BlackSwanSuite-YN (this)
This dataset contains questions for Y/N variant the Detective and Reporter tasks in Black Swan.
BlackSwanSuite contains videos of surprising events, split into three parts: the pre-event, the event, and the post-event. In the Y/N variant of the tasks:
- Detective-Y/N: Given the pre-event and the post-event videos and a hypothesis, validate if this hypothesis is possible or not.
- Reporter-Y/N: Given the entire video (pre-event, event, post-event) and a hypothesis, validate if this hypothesis is valid or not.
Splits
There are two splits available in this dataset:
- Validation: 3334 questions, with ground truth answers
- Test: 3345 questions, without ground truth answers (leaderboard submissions will be open soon!)
Cite Us!
@misc{chinchure2024blackswanabductivedefeasible,
title={Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events},
author={Aditya Chinchure and Sahithya Ravi and Raymond Ng and Vered Shwartz and Boyang Li and Leonid Sigal},
year={2024},
eprint={2412.05725},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2412.05725},
}
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