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--- |
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license: mit |
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task_categories: |
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- question-answering |
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size_categories: |
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- 1K<n<10K |
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--- |
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# ContPhy Dataset Repository |
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> ### ContPhy: Continuum Physical Concept Learning and Reasoning from Videos |
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> Zhicheng Zheng*, Xin Yan*, Zhenfang Chen*, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, and Chuang Gan (* denotes equal contributions) |
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> |
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> *ICML 2024* |
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> Links | [Project Page](https://physical-reasoning-project.github.io/) | [Paper (Arxiv)](https://arxiv.org/abs/2402.06119) | [Codebase](https://github.com/zzcnewly/ContPhy-Gen) | [Cite ContPhy](#citation) |
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## Structure |
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### Mini Dataset |
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1. [contphy_mini.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/contphy_mini.zip): 20 videos each scenario with annotations |
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### Full Dataset |
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1. [fluid_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/fluid_full.zip): 500 videos + 1500 questions |
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2. [rope_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/rope_full.zip): 500 videos + 2000 questions |
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3. [cloth_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/cloth_full.zip): 500 videos + 1500 questions |
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4. [ball_full.zip](https://huggingface.co/datasets/zzcnewly/ContPhy_Dataset/blob/main/ball_full.zip): 500 videos + 1500 questions |
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## Citation |
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Welcome to cite `ContPhy` if you find the paper, dataset, and implementations useful in your research :) |
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```bibtex |
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@inproceedings{zheng2024contphy, |
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title={ContPhy: Continuum Physical Concept Learning and Reasoning from Videos}, |
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author={Zheng, Zhicheng and Yan, Xin and Chen, Zhenfang and Wang, Jingzhou and Lim, Qin Zhi Eddie and Tenenbaum, Joshua B and Gan, Chuang}, |
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booktitle={International Conference on Machine Learning}, |
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year={2024}, |
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organization={PMLR} |
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} |
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``` |
