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  - split: val
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  path: val_balanced_instructions/val-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: val
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  path: val_balanced_instructions/val-*
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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 [GQA](hhttps://cs.stanford.edu/people/dorarad/gqa/about.html). 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{hudson2019gqa,
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+ title={Gqa: A new dataset for real-world visual reasoning and compositional question answering},
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+ author={Hudson, Drew A and Manning, Christopher D},
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+ booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
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+ pages={6700--6709},
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+ year={2019}
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+ }
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+ ```