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pritamqu/VCRBench

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Authors: Pritam Sarkar and Ali Etemad This repository provides the official implementation of VCRBench. Usage Please check our GitHub repo for the details of usage: VCRBench from dataset import VCRBench dataset=VCRBench(question_file="data.json", video_root="./", mode='default', ) for sample in dataset:… See the full description on the dataset page: https://huggingface.co/datasets/pritamqu/VCRBench.

sourceHugging Facemitupdated 1y agoView on Hugging Face
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VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models

<a href='https://arxiv.org/abs/2505.08455'><img src='https://img.shields.io/badge/arXiv-paper-red'></a> <a href='https://pritamqu.github.io/VCRBench/'><img src='https://img.shields.io/badge/project-VCRBench-blue'></a> <a href='https://huggingface.co/datasets/pritamqu/VCRBench'><img src='https://img.shields.io/badge/huggingface-datasets-green'></a> <a href='https://github.com/pritamqu/VCRBench'><img src='https://img.shields.io/badge/github-repository-purple'></a> <a href='https://pritamqu.github.io/VCRBench/#leaderboard'><img src='https://img.shields.io/badge/vcrbench-leaderboard-yellow'></a>

Authors: Pritam Sarkar and Ali Etemad

This repository provides the official implementation of [VCRBench](https://arxiv.org/abs/2505.08455).

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Usage

Please check our GitHub repo for the details of usage: VCRBench

from dataset import VCRBench
dataset=VCRBench(question_file="data.json", 
                video_root="./",
                mode='default', 
                )
    
for sample in dataset:
    print(sample['question'], )
    print(sample['answer'], )
    print('*'*10)

    break

Licensing Information

This dataset incorporates samples from CrossTask that are subject to their respective original licenses. Users must adhere to the terms and conditions specified by these licenses. This project does not impose any additional constraints beyond those stipulated in the original licenses. Users must ensure their usage complies with all applicable laws and regulations. This repository is released under the MIT. See LICENSE for details.

Citation Information

If you find this work useful, please use the given bibtex entry to cite our work:

@misc{sarkar2025vcrbench,
      title={VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models}, 
      author={Pritam Sarkar and Ali Etemad},
      year={2025},
      eprint={2505.08455},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
}

Contact

For any queries please create an issue at VCRBench.