Datasetpublic

puar-playground/VisR-Bench

Testing Code: The GitHub repo for testing code: VisR-Bench Data Download This is the page images of all documents of the VisR-Bench dataset. git lfs install git clone https://huggingface.co/datasets/puar-playground/VisR-Bench The code above will download the VisR-Bench folder, which is required for testing. Reference @misc{chen2025visrbenchempiricalstudyvisual, title={VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation… See the full description on the dataset page: https://huggingface.co/datasets/puar-playground/VisR-Bench.

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Testing Code:

The GitHub repo for testing code: VisR-Bench

Data Download

This is the page images of all documents of the VisR-Bench dataset.

git lfs install
git clone https://huggingface.co/datasets/puar-playground/VisR-Bench

The code above will download the VisR-Bench folder, which is required for testing.

Reference

@misc{chen2025visrbenchempiricalstudyvisual,
      title={VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding}, 
      author={Jian Chen and Ming Li and Jihyung Kil and Chenguang Wang and Tong Yu and Ryan Rossi and Tianyi Zhou and Changyou Chen and Ruiyi Zhang},
      year={2025},
      eprint={2508.07493},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2508.07493}, 
}

@misc{chen2025svragloracontextualizingadaptationmllms,
      title={SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding}, 
      author={Jian Chen and Ruiyi Zhang and Yufan Zhou and Tong Yu and Franck Dernoncourt and Jiuxiang Gu and Ryan A. Rossi and Changyou Chen and Tong Sun},
      year={2025},
      eprint={2411.01106},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2411.01106}, 
}