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---
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]) |