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---
language:
- en
license: mit
pretty_name: VCRBench
task_categories:
- video-text-to-text
- visual-question-answering
tags:
- video
- multimodal
- video-language
- causal-reasoning
- multi-step-reasoning
- long-form-reasoning
- large-video-language-model
- large-multimodal-model
- multimodal-large-language-model
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: test
path: "data.json"
---
# 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](https://pritamsarkar.com) and [Ali Etemad](https://www.aiimlab.com/ali-etemad)
This repository provides the official implementation of **[VCRBench](https://arxiv.org/abs/2505.08455)**.
## Usage
Please check our GitHub repo for the details of usage: [VCRBench](https://github.com/pritamqu/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](https://github.com/DmZhukov/CrossTask/blob/master/LICENSE) 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](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](https://github.com/pritamqu/VCRBench). |