[docs] add dataset card
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            ---
         
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            license: mit
         
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            task_categories:
         
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            - robotics
         
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            ---
         
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            # Dataset of Reactive Diffusion Policy
         
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            ## Contents
         
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            - [Description](#description)
         
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            - [Structure](#structure)
         
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            - [Usage](#usage)
         
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            ## Description
         
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            This is the raw dataset used in the paper
         
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            [Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation](https://reactive-diffusion-policy.github.io).
         
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            - [Paper](https://arxiv.org/pdf/2503.02881)
         
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            - [Project Homepage](https://reactive-diffusion-policy.github.io)
         
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            - [GitHub Repository](https://github.com/xiaoxiaoxh/reactive_diffusion_policy)
         
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            ## Structure
         
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            We offer two versions of the dataset:
         
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            one is the [full dataset](https://huggingface.co/datasets/WendiChen/reactive_diffusion_policy_dataset/tree/main/dataset_full) used to train the models in our paper,
         
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            and the other is a [mini dataset](https://huggingface.co/datasets/WendiChen/reactive_diffusion_policy_dataset/tree/main/dataset_mini) for easier examination.
         
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            Both versions include subsets of peeling, wiping and lifting.
         
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            Each subset is structured as follows:
         
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            ```
         
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            subset_name
         
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            ├── seq_01.pkl
         
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            ├── seq_02.pkl
         
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            ├── ...
         
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            ```
         
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            Note that we split the full lifting subset into 2 parts due to file size restrictions.
         
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            ## Usage
         
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            Follow the [README in our GitHub repo](https://github.com/xiaoxiaoxh/reactive_diffusion_policy)
         
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            to [postprocess the data](https://github.com/xiaoxiaoxh/reactive_diffusion_policy#data-postprocessing)
         
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            and [train the model](https://github.com/xiaoxiaoxh/reactive_diffusion_policy#-training).
         
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