---
configs:
- config_name: default
  data_files:
  - split: validation
    path: BlackSwanSuite_MCQ_Val.jsonl
  - split: test
    path: BlackSwanSuite_MCQ_Test.jsonl
task_categories:
- visual-question-answering
- question-answering
- multiple-choice
language:
- en
tags:
- VQA
- Video
- VideoQA
- MCQ
- reasoning
license: cc-by-nc-sa-4.0
extra_gated_prompt: "This dataset contains videos from the Oops! Dataset. By selecting the checkbox below, and downloading and using this data, you acknowledge that we do not own the copyright to these videos and that they are solely provided for non-commercial research and/or educational purposes. This dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License."
extra_gated_fields:
  I agree: checkbox
---

# 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](https://arxiv.org/abs/2412.05725) | [Website](https://blackswan.cs.ubc.ca)

<img src="https://blackswan.cs.ubc.ca/static/images/VARmain.png" width="800">

## Dataset Information

Black Swan has three variants of questions. Please find the data in the appropriate repositories:
* [BlackSwanSuite-Gen -- link](https://huggingface.co/datasets/UBC-ViL/BlackSwanSuite-Gen)
* BlackSwanSuite-MCQ (this)
* [BlackSwanSuite-YN -- link](https://huggingface.co/datasets/UBC-ViL/BlackSwanSuite-YN)

_This dataset contains questions for MCQ 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 MCQ variant of the tasks:
* **Detective-MCQ:** Given the pre-event and the post-event videos, answer a MCQ about what could have happened in the middle.
* **Reporter-MCQ:** Given the entire video (pre-event, event, post-event), answer a MCQ about the surprising event in the video.


## Splits

There are two splits available in this dataset:
* **Validation:** 1793 questions, with ground truth answers
* **Test:** 2032 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}, 
}
```