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Duplicate from lmms-lab/SEED-Bench-2

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Co-authored-by: kcz <kcz358@users.noreply.huggingface.co>

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  2. README.md +67 -0
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+ ---
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+ dataset_info:
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+ features:
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+ - name: answer
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+ dtype: string
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+ - name: choice_a
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+ dtype: string
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+ - name: choice_b
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+ - name: question_id
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+ - name: question_type_id
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+ dtype: int16
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+ - name: image
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+ sequence: image
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+ - name: subpart
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+ dtype: string
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+ - name: version
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+ dtype: string
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+ splits:
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+ - name: test
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+ num_bytes: 41770062282.022
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+ num_examples: 24371
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+ download_size: 38037968494
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+ dataset_size: 41770062282.022
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: test
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+ path: data/test-*
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+ ---
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+ <p align="center" width="100%">
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+ <img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%">
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+ </p>
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+
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+ # Large-scale Multi-modality Models Evaluation Suite
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+
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+ > Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`
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+
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+ 🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab)
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+
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+ # This Dataset
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+
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+ This is a formatted version of [SEED-Bench-2](https://github.com/AILab-CVC/SEED-Bench). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.
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+
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+ ```
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+ @article{li2023seed2,
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+ title={SEED-Bench-2: Benchmarking Multimodal Large Language Models},
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+ author={Li, Bohao and Ge, Yuying and Ge, Yixiao and Wang, Guangzhi and Wang, Rui and Zhang, Ruimao and Shan, Ying},
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+ journal={arXiv preprint arXiv:2311.17092},
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+ year={2023}
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+ }
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+ ```
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