Datasets:
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736ac09
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Parent(s):
Duplicate from Peizhen/X2C
Browse filesCo-authored-by: Peizhen Li <Peizhen@users.noreply.huggingface.co>
This view is limited to 50 files because it contains too many changes. See raw diff
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- README.md +65 -0
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README.md
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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)
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dataset_metadata.json
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{
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"@context": {
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"version": "https://schema.org/version",
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"data": "https://mlcommons.org/croissant/data",
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"fileObject": "https://mlcommons.org/croissant/fileObject",
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"columns": "https://mlcommons.org/croissant/columns",
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"encodingFormat": "https://schema.org/encodingFormat",
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"citation": "https://schema.org/citation",
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"datePublished": "https://schema.org/datePublished",
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"@type": "@type"
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},
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"@type": "https://schema.org/Dataset",
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"name": "X2C",
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"description": "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. For more details, please refer to our paper: X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation. Ource code is available at: https://lipzh5.github.io/X2CNet/.",
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"license": "https://creativecommons.org/licenses/by/4.0/",
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"version": "1.0",
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"creator": [
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{
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"name": "Anonymous",
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"@type": "https://schema.org/Person"
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}
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],
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"citation": "X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation. 2025.",
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"datePublished": "2025-05-15",
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"data": [
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{
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"name": "control_vectors",
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"description": "Control parameters for facial expression imitation, mapped from image filenames.",
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"fileObject": {
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"name": "metadata.jsonl",
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"dataType": "string",
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"isKey": true
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},
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{
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"name": "ctrl_value",
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"description": "Control vector used to drive facial actuators",
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"dataType": "number",
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"multiple": true
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}
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],
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"url": "metadata.jsonl"
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}
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