Datasetpublic

shangshang/robot-joint

ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD This dataset requires following the author to access. How to Access Follow @shangshang on HuggingFace: https://huggingface.co/shangshang Request access by commenting on the dataset page 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… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-joint.

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Dataset Card

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:

bibtex

@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
endeffectorposes.csv	600	End-effector pose sequences
force_tactile.csv	500	Force/tactile sensor feedback
language_instructions.csv	1000	Natural language task instructions
vlacombineddataset.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

python

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{embodiedaidataset_2026, title={Embodied AI VLA Dataset}, year={2026}, url={https://huggingface.co/datasets/shangshang/embodied-ai-dataset} }