Datasets:

UBC-ViL
/

BlackSwanSuite-YN

configs:
  - config_name: default
    data_files:
      - split: validation
        path: BlackSwanSuite_YN_Val.jsonl
      - split: test
        path: BlackSwanSuite_YN_Test.jsonl
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
task_categories:
  - visual-question-answering
  - question-answering
language:
  - en
tags:
  - VQA
  - MCQ
  - Reasoning
  - VideoQA
  - Video

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:

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}, 
}