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Merge pull request #6 from felipe-parodi/update-hf-dataset-links
Update HuggingFace dataset links
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README.md

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<img src="https://img.shields.io/badge/📖-Documentation-blue" alt="Documentation">
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</a>
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&nbsp;&nbsp;
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<a href="https://huggingface.co/spaces/fparodi/PrimateFace">
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<img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces">
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<a href="https://huggingface.co/datasets/fparodi/PrimateFace">
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<img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Dataset-blue" alt="Hugging Face Dataset">
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</a>
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</p>
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dataset/README.md

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## Dataset Access
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### Current Status
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The full PrimateFace dataset will be released in **September 2025** on Hugging Face.
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The PrimateFace dataset is available on Hugging Face (gated access):
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[https://huggingface.co/datasets/fparodi/PrimateFace](https://huggingface.co/datasets/fparodi/PrimateFace)
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**Coming Soon:** [https://huggingface.co/datasets/fparodi/PrimateFace](https://huggingface.co/datasets/fparodi/PrimateFace)
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### Available Configs
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### What's Available Now
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| Config | Keypoints | Description |
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|--------|-----------|-------------|
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| `mac-au-68kpt` | 68 (dlib/COCO) | Cayo Santiago action-unit videos, COCO Whole-Body face landmarks |
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| `mac-au-48kpt` | 48 (PrimateFace) | Cayo Santiago action-unit videos, PrimateFace custom landmarks |
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Both configs contain the same images annotated with different landmark sets.
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```python
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from datasets import load_dataset
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# Load 68-keypoint annotations (dlib/COCO convention)
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ds_68 = load_dataset("fparodi/PrimateFace", "mac-au-68kpt")
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# Load 48-keypoint annotations (PrimateFace convention)
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ds_48 = load_dataset("fparodi/PrimateFace", "mac-au-48kpt")
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```
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### Also Available
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- Pre-trained models: Available via `demos/download_models.py`
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- Sample images: Included in `demos/` for testing
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- Annotation format: COCO JSON with 68-point landmarks
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- Documentation: Complete API and format specifications
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### Dataset Preview
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The complete dataset will include:
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- **10,000+ annotated images** across 15+ primate species
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- **68-point facial landmarks** for each face
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- **Species labels** and metadata
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- **Train/validation/test splits** for reproducible research
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- **Diverse conditions**: Multiple poses, expressions, and environments
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## Data Usage and Licensing
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### Important Notice

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