{ "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."} } ] }