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# Dataset Card for "ICON-QA"
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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 [ICONQA](https://iconqa.github.io/). 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{lu2021iconqa,
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title = {IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning},
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author = {Lu, Pan and Qiu, Liang and Chen, Jiaqi and Xia, Tony and Zhao, Yizhou and Zhang, Wei and Yu, Zhou and Liang, Xiaodan and Zhu, Song-Chun},
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booktitle = {The 35th Conference on Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks},
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year = {2021}
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}
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```
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