| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - image-to-image |
| pretty_name: X2C |
| tags: |
| - image |
| - datasets |
| - croissant |
| - pandas |
| - json |
| --- |
| |
| --- |
|
|
| # 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, |
| each annotated with 30 control values that can be applied to the physical robot to recreate the corresponding expression. |
|
|
| ## 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) |
| - Source code is available at: [X2CNet](https://github.com/lipzh5/X2CNet) |
|
|
| ### 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. |
| - **Language(s):** English |
| - **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, |
| title={X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation}, |
| author={Li, Peizhen and Cao, Longbing and Wu, Xiao-Ming and Yang, Runze and Yu, Xiaohan}, |
| journal={arXiv preprint arXiv:2505.11146}, |
| year={2025} |
| } |
|
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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) |