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README.md
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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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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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π [Homepage](https://lmms-lab.github.io/) | π [Documentation](docs/README.md) | π€ [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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