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Reproduction data, including precomputed **vision and text features**, for the evaluations in [A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models](https://arxiv.org/abs/2610.05413). The release covers **70 vision encoders** (43 language-supervised, 22 self-supervised, and 5 discrete), text features from **three language models**, and shared sample metadata.
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**Resources:** [Paper](https://arxiv.org/abs/2610.05413) · [Code](https://github.com/JuntaoTang/MLLM-VisionEncoder-Eval) · [MLLM checkpoints and encoder weights](https://huggingface.co/336labs/VisionEncoder-to-MLLM-ModelZoo) · [Encoder catalog](encoders.json)
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## Subsets
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Reproduction data, including precomputed **vision and text features**, for the evaluations in [A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models](https://arxiv.org/abs/2610.05413). The release covers **70 vision encoders** (43 language-supervised, 22 self-supervised, and 5 discrete), text features from **three language models**, and shared sample metadata.
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## Subsets
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| Subset | Samples | Contents | Size |
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