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--- |
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language: |
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- en |
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license: cc-by-4.0 |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- image-to-image |
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pretty_name: X2C |
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tags: |
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- image |
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- datasets |
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- croissant |
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- pandas |
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- json |
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--- |
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--- |
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# Dataset Card for X2C |
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<!-- Provide a quick summary of the dataset. --> |
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X2C (Anything to Control) is a dataset featuring nuanced robotic facial expressions for realistic humanoid imitation and facial expression generation. It contains 100,000 images of a robot displaying diverse facial expressions, |
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each annotated with 30 control values that can be applied to the physical robot to recreate the corresponding expression. |
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## Dataset Details |
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- For more details, please refer to our paper: [X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation](https://huggingface.co/papers/2505.11146) |
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- Source code is available at: [X2CNet](https://github.com/lipzh5/X2CNet) |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** This project was primarily conducted and received ethics approval via Macquarie University. |
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- **Language(s):** English |
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- **License:** Creative Commons Attribution 4.0 (CC BY 4.0) |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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@article{li2025x2c, |
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title={X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation}, |
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author={Li, Peizhen and Cao, Longbing and Wu, Xiao-Ming and Yang, Runze and Yu, Xiaohan}, |
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journal={arXiv preprint arXiv:2505.11146}, |
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year={2025} |
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} |
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## Dataset Card Authors |
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peizhen.li1@hdr.mq.edu.au |
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## Dataset Card Contact |
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For any comments or questions, please email [Peizhen Li](mailto:peizhen.li1@hdr.mq.edu.au) |
