Duplicate from lmms-lab/SEED-Bench-2
Browse filesCo-authored-by: kcz <kcz358@users.noreply.huggingface.co>
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README.md
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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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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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# Large-scale Multi-modality Models Evaluation Suite
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> Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`
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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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# This Dataset
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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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@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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