Datasets:

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MCG-NJU

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X-Dance

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Multimedia Computing Group-Nanjing University 100

This PR significantly enhances the dataset card for the X-Dance benchmark by:

• Adding Metadata: Including task_categories: ['image-to-video'] and relevant tags such as human-image-animation, video-generation, and pose-guided to improve discoverability.
• Enriching Links: Adding a dedicated badge link to the Hugging Face Papers page (https://huggingface.co/papers/2511.19320) and incorporating a direct link to the paper within the introductory text.
• Providing Comprehensive Sample Usage: Integrating detailed "Installation", "Download Checkpoints", and "Inference" instructions directly from the associated GitHub repository. These snippets demonstrate how to use the SteadyDancer model with the X-Dance dataset.
• Expanding Dataset Description: Incorporating the "X-Dance Benchmark" section from the GitHub README, which elucidates the dataset's unique motivation and construction.
• Updating Visuals: Replacing the local ![X-Dance] image link with a robust CDN URL.
• Adding Scholarly Information: Including "Acknowledgements" and "Citation" sections for proper attribution.
• Minor Fixes: Correcting malformed HTML tags in the author affiliation line.

These updates make the dataset card more informative, discoverable, and user-friendly for the AI community.