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--- |
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language: |
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- en |
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license: apache-2.0 |
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task_categories: |
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- question-answering |
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pretty_name: physbench-assets |
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size_categories: |
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- 1K<n<10K |
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--- |
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<div align="center"> |
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<h1> <img src="https://physbench.github.io/static/images/physbench.png" width="50" /> PhysBench </h1> |
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</div> |
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<h5 align="center"> |
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<a href="https://physbench.github.io/">🌐 Homepage</a> | <a href="https://huggingface.co/datasets/USC-GVL/PhysBench">🤗 Dataset</a> | <a href="todo">📑 Paper</a> | <a href="https://github.com/USC-GVL/PhysBench/tree/main/eval">💻 Code</a> | <a href="https://eval.ai/web/challenges/challenge-page/2379/overview">🔺 EvalAI</a> |
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</h5> |
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This repo contains other dataset for PhysBench for further exploration ⚙️. |
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Notice: The classification of this dataset is not exactly the same as the downstream test set, and the test set is more diverse and has been more finely labeled and screened. This dataset is for reference only |
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Usage: |
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```shell |
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sudo apt-get install unrar |
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unrar x video.part1.rar |
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unrar x image.part1.rar |
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unrar x auxiliary_image.part1.rar |
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``` |
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Other links: |
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[PhysBench-test](https://huggingface.co/datasets/USC-GVL/PhysBench) |
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[PhysBench-media](https://huggingface.co/datasets/WeiChow/PhysBench-media) |
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[PhysBench-assets](https://huggingface.co/datasets/WeiChow/PhysBench-assets) |
