Datasets:
| 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 | |
| <!-- Provide a quick summary of the dataset. --> | |
| 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 | |
| - 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 | |
| <!-- Provide a longer summary of what this dataset is. --> | |
| - **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) | |
| ## Citation [optional] | |
| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> | |
| **BibTeX:** | |
| @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} | |
| } | |
| ## Dataset Card Authors | |
| [email protected] | |
| ## Dataset Card Contact | |
| For any comments or questions, please email [Peizhen Li](mailto:[email protected]) |