| { |
| "schema_version": 1, |
| "generated_at": "2026-07-25T05:20:00Z", |
| "datasets": [ |
| { |
| "slug": "droid-1-0-1", |
| "display_name": "DROID 1.0.1", |
| "summary": "A large in-the-wild robot manipulation corpus collected across diverse scenes and hardware.", |
| "category": "generalist", |
| "tags": ["robotics", "manipulation", "real-world", "video", "lerobot"], |
| "source": { |
| "provider": "huggingface", |
| "repo_id": "lerobot/droid_1.0.1", |
| "revision": "0eabc778f959c54b8c5aa3626cc1128d2d2e54d4", |
| "gated": false, |
| "license": "apache-2.0", |
| "license_url": "https://huggingface.co/datasets/lerobot/droid_1.0.1" |
| }, |
| "format": "LeRobot / Parquet", |
| "modalities": ["video", "state", "action", "language"], |
| "size_label": "10M-100M rows", |
| "storage_gb": 809.9, |
| "robot": "Multi-robot", |
| "tasks": ["in-the-wild manipulation", "imitation learning"], |
| "curation": {"status": "curated", "notes": "Large download; use filtered or streaming workflows."} |
| }, |
| { |
| "slug": "modified-libero-rlds", |
| "display_name": "Modified LIBERO RLDS", |
| "summary": "The OpenVLA-ready LIBERO benchmark conversion for language-conditioned manipulation research.", |
| "category": "simulation", |
| "tags": ["robotics", "manipulation", "libero", "rlds", "benchmark"], |
| "source": { |
| "provider": "huggingface", |
| "repo_id": "openvla/modified_libero_rlds", |
| "revision": "6ce6aaaaabdbe590b1eef5cd29c0d33f14a08551", |
| "gated": false, |
| "license": "mit", |
| "license_url": "https://huggingface.co/datasets/openvla/modified_libero_rlds" |
| }, |
| "format": "RLDS / TFRecord", |
| "modalities": ["image", "state", "action", "language"], |
| "size_label": "10.2 GB", |
| "storage_gb": 10.2, |
| "robot": "LIBERO simulated arm", |
| "tasks": ["spatial", "object", "goal", "long-horizon"], |
| "curation": {"status": "curated", "notes": "Prepared for OpenVLA LIBERO evaluation workflows."} |
| }, |
| { |
| "slug": "pusht", |
| "display_name": "PushT", |
| "summary": "A compact planar pushing benchmark widely used for diffusion-policy and imitation-learning baselines.", |
| "category": "simulation", |
| "tags": ["robotics", "pushing", "diffusion-policy", "video", "lerobot"], |
| "source": { |
| "provider": "huggingface", |
| "repo_id": "lerobot/pusht", |
| "revision": "7628202a2180972f291ba1bc6723834921e72c19", |
| "gated": false, |
| "license": "mit", |
| "license_url": "https://huggingface.co/datasets/lerobot/pusht" |
| }, |
| "format": "LeRobot / Parquet", |
| "modalities": ["video", "state", "action"], |
| "size_label": "10K-100K rows", |
| "storage_gb": 0.19, |
| "robot": "Planar PushT agent", |
| "tasks": ["object pushing", "trajectory prediction"], |
| "curation": {"status": "curated", "notes": "Small benchmark suitable for local experimentation."} |
| }, |
| { |
| "slug": "aloha-transfer-cube-human", |
| "display_name": "ALOHA Transfer Cube Human", |
| "summary": "Human teleoperation demonstrations for the bimanual ALOHA cube-transfer task.", |
| "category": "manipulation", |
| "tags": ["robotics", "bimanual", "aloha", "teleoperation", "lerobot"], |
| "source": { |
| "provider": "huggingface", |
| "repo_id": "lerobot/aloha_sim_transfer_cube_human", |
| "revision": "6a43d500f101255823a9d2b9dc244eeb01a2cd31", |
| "gated": false, |
| "license": "mit", |
| "license_url": "https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human" |
| }, |
| "format": "LeRobot / Parquet", |
| "modalities": ["video", "state", "action"], |
| "size_label": "10K-100K rows", |
| "storage_gb": 3.12, |
| "robot": "ALOHA bimanual", |
| "tasks": ["cube transfer", "bimanual manipulation"], |
| "curation": {"status": "curated", "notes": "Human demonstration split for ACT-style policy experiments."} |
| }, |
| { |
| "slug": "metaworld-mt50", |
| "display_name": "MetaWorld MT50", |
| "summary": "A 50-task manipulation benchmark packaged for multi-task policy training and evaluation.", |
| "category": "simulation", |
| "tags": ["robotics", "manipulation", "multi-task", "metaworld", "lerobot"], |
| "source": { |
| "provider": "huggingface", |
| "repo_id": "lerobot/metaworld_mt50", |
| "revision": "a59f742d218c903328164257ecf180f9b18018a1", |
| "gated": false, |
| "license": "apache-2.0", |
| "license_url": "https://huggingface.co/datasets/lerobot/metaworld_mt50" |
| }, |
| "format": "LeRobot / Parquet", |
| "modalities": ["image", "state", "action"], |
| "size_label": "100K-1M rows", |
| "storage_gb": 91.75, |
| "robot": "MetaWorld Sawyer", |
| "tasks": ["50 manipulation tasks", "multi-task learning"], |
| "curation": {"status": "curated", "notes": "Broad simulated task coverage; substantial local storage required."} |
| }, |
| { |
| "slug": "xarm-lift-medium", |
| "display_name": "XArm Lift Medium", |
| "summary": "A compact XArm lifting dataset for behavior cloning and offline reinforcement-learning baselines.", |
| "category": "manipulation", |
| "tags": ["robotics", "xarm", "lifting", "offline-rl", "lerobot"], |
| "source": { |
| "provider": "huggingface", |
| "repo_id": "lerobot/xarm_lift_medium", |
| "revision": "79efb0e3cef0e530ddec4b8569b190966ab45808", |
| "gated": false, |
| "license": "mit", |
| "license_url": "https://huggingface.co/datasets/lerobot/xarm_lift_medium" |
| }, |
| "format": "LeRobot / Parquet", |
| "modalities": ["video", "state", "action"], |
| "size_label": "10K-100K rows", |
| "storage_gb": 0.35, |
| "robot": "XArm", |
| "tasks": ["object lifting", "offline policy learning"], |
| "curation": {"status": "curated", "notes": "Compact dataset suitable for teaching and local baselines."} |
| } |
| ] |
| } |
|
|
