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@@ -5,33 +5,25 @@ dataset_info:
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  - name: image
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  dtype: image
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  - name: actuated_angle
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- struct:
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- - name: '0'
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  features:
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  dtype: image
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  - name: actuated_angle
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- struct:
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  configs:
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  - config_name: full
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  data_files:
@@ -42,4 +34,120 @@ configs:
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  - split: train
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  path: small/train-*
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  default: true
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: image
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  dtype: image
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  - name: actuated_angle
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  splits:
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  - name: train
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+ num_bytes: 5561735
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+ dataset_size: 5561735
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  - config_name: small
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  features:
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  - name: image
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  dtype: image
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  - name: actuated_angle
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+ sequence: int32
 
 
 
 
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  splits:
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  - name: train
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  num_examples: 2
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+ download_size: 2221457
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+ dataset_size: 2219196
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  configs:
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  - config_name: full
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  data_files:
 
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  - split: train
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  path: small/train-*
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  default: true
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+ license: mit
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+ task_categories:
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+ - image-feature-extraction
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+ tags:
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+ - robotics
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+ size_categories:
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+ - 1M<n<10M
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  ---
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+
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+
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+ # 🧠 Open Humnoid Actuated Face Dataset
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+
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+ <img src="https://huggingface.co/datasets/iamirulofficial/Test2/resolve/main/imgesFace.png" alt="Sample Face Image" width="400"/>
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+
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+ ## Dataset Summary
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+
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+ The **Open Humnoid Actuated Face Dataset** has been created to support researchers and developers working on **face-head actuated simulations** for robotics, reinforcement learning, and human-computer interaction.
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+ The data was collected during a **reinforcement learning (RL)** training process where the agent’s goal was to replicate human facial expressions using a humanoid head model.
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+
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+ The dataset pairs **actuator angle positions** with corresponding **images** of a humanoid face (modified *i2Head InMoov* with a silicon skin). The system consists of **16 actuators** controlling facial regions and eyes.
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+
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+ ---
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+
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+ ## Dataset Structure
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+
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+ Each data sample contains:
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+
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+ - **Actuated Angles**:
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+ - 16 actuator values representing positions/angles controlling the face and eyes.
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+
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+ - **Face Image**:
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+ - RGB image of the humanoid face (resolution: **[FILL_RESOLUTION]**) matching the actuator positions.
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+
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+ - **Actuator Position Images**:
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+ - Annotated actuator mapping images:
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+ - Full Face Actuator Map.
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+ - Eye Actuator Map.
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+
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+ ### Actuator Details
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+
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+ | Index | Actuator | Index | Actuator |
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+ | :---: | ------------------------ | :---: | -------------------- |
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+ | 00 | Cheek - Left | 08 | Eyelid Upper - Right |
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+ | 01 | Cheek - Right | 09 | Eyelid Lower - Right |
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+ | 02 | Eyeball Sideways - Left | 10 | Forehead - Right |
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+ | 03 | Eyeball Up Down - Left | 11 | Forehead - Left |
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+ | 04 | Eyelid Upper - Left | 12 | Upper Nose |
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+ | 05 | Eyelid Lower - Left | 13 | Eyebrow - Right |
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+ | 06 | Eyeball Up Down - Right | 14 | Jaw |
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+ | 07 | Eyeball Sideways - Right | 15 | Eyebrow - Left |
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+
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+ ---
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+
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+
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+ **Actuator Mapping Images**:
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+
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+ **Full Face Actuator Map**
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+
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+ <p align="center"> <img src="https://huggingface.co/datasets/iamirulofficial/Test2/resolve/main/Screenshot%202025-05-02%20at%204.04.28%E2%80%AFPM.png" alt="Full Face Actuator Map" width="35%"/> <img src="https://huggingface.co/datasets/iamirulofficial/Test2/resolve/main/Screenshot%202025-05-02%20at%204.03.56%E2%80%AFPM.png" alt="Eye Actuator Map" width="35%"/> </p>
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+
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+ ---
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+
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+ ## Dataset Size
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+
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+ - **Total Samples**: [FILL_NUMBER_OF_SAMPLES]
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+ - **Splits**: No predefined splits. However, users can load either the full dataset or a smaller subset using the provided configuration.
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+
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+ ---
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+
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+ ## Usage
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+
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+ You can load either the full dataset or a small subset for quick experiments:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the small config (with actuated angles)
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+ ds = load_dataset("./", name="small", data_dir=".") # Ideally use repo ID
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+
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+ # push everything—including arrow files—to your hub repo
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+ ds.push_to_hub("iamirulofficial/TestImageDataset")
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+ ````
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+
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+ ---
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+
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+ ## Data Collection Method
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+
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+ Stay tuned — more details will be available in the upcoming paper describing the RL training process, actuator control policies, and data generation methodology.
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+
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+ ---
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+
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+ ## License
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+
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+ This dataset is released under the **MIT License**.
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+
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+ ---
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @misc{faceheadactuated2025,
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+ title = {Open Humnoid Actuated Face Dataset},
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+ author = {Your Name or Organization},
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+ year = {2025},
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+ url = {https://huggingface.co/datasets/YOUR_DATASET_PATH}
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+ }
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+ ```
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+
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+ ---
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+
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+ ## Acknowledgements
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+
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+ Special thanks to the team developing the **i2Head InMoov** platform and contributors to the silicon skin design.
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+
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+