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+ ---
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+ dataset_info:
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+ features:
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+ - name: question_id
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+ dtype: string
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+ - name: question
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+ dtype: string
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+ - name: answer
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+ dtype: string
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+ - name: query_image_0
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+ dtype: image
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+ - name: query_image_1
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+ dtype: image
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+ - name: query_image_2
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+ dtype: image
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+ - name: query_image_3
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+ - name: answer_image_a
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+ - name: answer_image_b
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+ - name: answer_image_c
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+ dtype: image
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+ - name: answer_image_d
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+ dtype: image
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+ - name: answer_image_e
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+ dtype: image
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+ - name: answer_image_f
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+ dtype: image
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+ splits:
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+ - name: test
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+ num_bytes: 12321743.0
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+ num_examples: 50
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+ download_size: 10640175
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+ dataset_size: 12321743.0
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+ configs:
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+ - config_name: default
46
+ data_files:
47
+ - split: test
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+ path: data/test-*
49
+ ---
50
+ # Dataset Card for "IQ50"
51
+
52
+ <p align="center" width="100%">
53
+ <img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%">
54
+ </p>
55
+
56
+ # Large-scale Multi-modality Models Evaluation Suite
57
+
58
+ > Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`
59
+
60
+ 🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab)
61
+
62
+ # This Dataset
63
+
64
+ This is a formatted version of [IQ50](https://github.com/microsoft/unilm/issues/1265). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.
65
+
66
+ ```
67
+ @article{huang2023language,
68
+ title={Language is not all you need: Aligning perception with language models},
69
+ author={Huang, Shaohan and Dong, Li and Wang, Wenhui and Hao, Yaru and Singhal, Saksham and Ma, Shuming and Lv, Tengchao and Cui, Lei and Mohammed, Owais Khan and Liu, Qiang and others},
70
+ journal={arXiv preprint arXiv:2302.14045},
71
+ volume={1},
72
+ number={2},
73
+ pages={3},
74
+ year={2023}
75
+ }
76
+ ```
77
+
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+ [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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