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
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 (this)
- BlackSwanSuite-MCQ -- link
- BlackSwanSuite-YN -- link
This dataset contains questions for Gen (generative) variant the Forecaster, 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 Generative variant of the tasks:
- Forecaster-Gen: Given the pre-event, explain what could happen next in the video.
- Detective-Gen: Given the pre-event and the post-event videos, reason about what happened in the main event (hidden part) of the video.
- Reporter-Gen: Given the entire video (pre-event, event, post-event), describe the surprising event in the video.
Splits
There are two splits available in this dataset:
- Validation: 2381 questions, with ground truth reference sentences
- Test: 2484 questions, without ground truth reference sentences (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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