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            # Dataset Card for "NoCaps"
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            Converted from [HuggingfaceM4/NoCaps](https://huggingface.co/datasets/HuggingFaceM4/NoCaps)
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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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            ๐  [Homepage](https://lmms-lab.github.io/) | ๐ [Documentation](docs/README.md) | ๐ค [Huggingface Datasets](https://huggingface.co/lmms-lab)
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            # This Dataset
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            This is a formatted version of [NoCaps](https://nocaps.org/). 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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            @inproceedings{Agrawal_2019,
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               title={nocaps: novel object captioning at scale},
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               url={http://dx.doi.org/10.1109/ICCV.2019.00904},
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               DOI={10.1109/iccv.2019.00904},
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               booktitle={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
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               publisher={IEEE},
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               author={Agrawal, Harsh and Desai, Karan and Wang, Yufei and Chen, Xinlei and Jain, Rishabh and Johnson, Mark and Batra, Dhruv and Parikh, Devi and Lee, Stefan and Anderson, Peter},
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               year={2019},
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               month=oct }
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            ```
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