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sample_id
int64
0
499
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ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD

This dataset requires following the author to access.

How to Access

  1. Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
  2. Request access by commenting on the dataset page
  3. Once approved, you will receive download permissions

Usage Agreement

  • For research and educational purposes only
  • Do not redistribute without permission
  • Cite the dataset in your work:
@misc{shangshang_dataset_2026,
  title={Embodied AI and Medical Datasets},
  year={2026},
  url={https://huggingface.co/datasets/shangshang}
}

Embodied AI Dataset Collection

A comprehensive dataset for Vision-Language-Action (VLA) model training and embodied AI research.

Datasets Included

Dataset Samples Description
robot_trajectory.csv 1000 Robot arm trajectories for various manipulation tasks
joint_configurations.csv 800 6-DOF joint angle configurations
end_effector_poses.csv 600 End-effector pose sequences
force_tactile.csv 500 Force/tactile sensor feedback
language_instructions.csv 1000 Natural language task instructions
vla_combined_dataset.csv 500 Combined VLA training data

Task Categories

  • pick_place: Pick up object and place at target
  • push_pull: Push/pull objects
  • stacking: Stack objects
  • insertion: Insert objects into targets
  • turning: Turn knobs/dials

Robot Types

  • Franka Emika (7-DOF)
  • UR5e (6-DOF)
  • WidowX 250 (7-DOF)
  • xArm6 (6-DOF)

Usage Example

import pandas as pd
from huggingface_hub import hf_hub_download

# Download
file_path = hf_hub_download(
    repo_id="shangshang/embodied-ai-dataset",
    filename="vla_combined_dataset.csv"
)

# Load
df = pd.read_csv(file_path)
print(df.head())

License

MIT License

Citation

If you use this dataset in your research, please cite:

@misc{embodied_ai_dataset_2026, title={Embodied AI VLA Dataset}, year={2026}, url={https://huggingface.co/datasets/shangshang/embodied-ai-dataset} }

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