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Add task category, link to paper

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This PR ensures the dataset is linked to (and can be found at) https://huggingface.co/papers/2503.15451 as well as at https://huggingface.co/datasets?task_categories=task_categories:text-to-video.

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  1. README.md +7 -1
README.md CHANGED
@@ -1,5 +1,7 @@
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  ---
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  license: apache-2.0
 
 
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  ---
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  ## ๐Ÿš€ Dataset Usage
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  โ—๏ธโ—๏ธโ—๏ธ The processed data is solely for academic purposes. Make sure you read through the [AMASS License](https://amass.is.tue.mpg.de/license.html).
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  ## ๐Ÿƒ Processing script
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  For more details of how to obtain the 272-dim motion representation, as well as other useful tools (e.g., Visualization and Conversion to BVH format), please refer to our [GitHub repo](https://github.com/Li-xingXiao/272-dim-Motion-Representation).
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@@ -24,4 +30,4 @@ If our project is helpful for your research, please consider citing :
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  journal={arXiv preprint arXiv:2503.15451},
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  year={2025}
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  }
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- ```
 
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  ---
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  license: apache-2.0
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+ task_categories:
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+ - text-to-video
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  ---
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  ## ๐Ÿš€ Dataset Usage
 
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  โ—๏ธโ—๏ธโ—๏ธ The processed data is solely for academic purposes. Make sure you read through the [AMASS License](https://amass.is.tue.mpg.de/license.html).
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+ ## ๐Ÿš€ Paper & Project Page
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+ * [Paper](https://huggingface.co/papers/2503.15451)
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+ * [Project Page](https://zju3dv.github.io/MotionStreamer/)
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+
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  ## ๐Ÿƒ Processing script
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  For more details of how to obtain the 272-dim motion representation, as well as other useful tools (e.g., Visualization and Conversion to BVH format), please refer to our [GitHub repo](https://github.com/Li-xingXiao/272-dim-Motion-Representation).
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  journal={arXiv preprint arXiv:2503.15451},
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  year={2025}
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  }
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+ ```