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        "downloads_30d": 721194,
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        "license_family": "unclear-scope",
        "license_spdx": "CC-BY-SA-4.0",
        "name": "10Kh-RealOmin-OpenData",
        "note": "Added from the Hugging Face datasets API on 2026-09-17 as one of the most-downloaded corpora whose card tag permits commercial use. 721,194 downloads in 30 days, 270 likes, card last modified 2026-04-24. The licence is the uploader's card tag: the repo tree was walked and holds no LICENSE file, so commercial use is NOT established. Size, hours and episodes are null: the API does not state them.",
        "org": "GenRobot",
        "orgs": [
          "GenRobot"
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        "redistribution": null,
        "update_note": "updated 2026-09-22 from creativecommons.org: Creative Commons states CC BY-SA 4.0 permits sharing and adaptation for any purpose, including commercially, subject to attribution and ShareAlike.",
        "url": "https://huggingface.co/datasets/genrobot2025/10Kh-RealOmin-OpenData"
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      "id": "dataset:10kh-realomin-opendata",
      "name": "10Kh-RealOmin-OpenData",
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        "_license_note": "UNCHANGED, and specifically the gate did NOT open. Re-checked live: still gated 'auto', lastModified still 2026-04-24T05:02:26Z. The tag is readable from public metadata; the card body and whatever agreement the gate presents are not. A card tag on a gated repo does not establish commercial use, and the word 'OpenData' in the name establishes nothing. Commercial use cannot be established.",
        "_org_roles": {
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        "episodes": 1275,
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        "hours": 2.32,
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        "license_family": "unknown",
        "license_note": "Re-checked today and extended past the card YAML to the file tree: eleven task directories, .gitattributes and README.md, and no LICENSE, LICENSE.txt or COPYING. The card was last modified 2026-09-03 and is not gated, so the absence is not an access artefact. No grant means default copyright and commercial use cannot be read as permitted.",
        "license_spdx": null,
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          "tactile"
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        "name": "AetheRock demonstration set",
        "notes": "6 tasks, 138.91 minutes total: Clamp Seal 229 eps, Towel Hanging 206, Pick Bread 199, Erase Board 215, Pick Block 214, Insert Flower 212.",
        "org": [
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        "_license_note": "licence string did not match any known family",
        "_org_roles": {
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          "Shanghai Jiao Tong University": [
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        }
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        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2606.09777"
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    {
      "fields": {
        "commercial_use": false,
        "embodiment": "humanoid",
        "episodes": 1001552,
        "format": "custom",
        "has_force": null,
        "hours": 2976,
        "license": "CC BY-NC (check)",
        "license_family": "noncommercial",
        "license_spdx": "CC-BY-NC-4.0",
        "modalities": [
          "depth",
          "proprioception",
          "rgb",
          "text"
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        "name": "AgiBot World",
        "org": "AgiBot",
        "orgs": [
          "AgiBot"
        ],
        "redistribution": true,
        "url": "https://arxiv.org/abs/2503.06669",
        "year": 2024
      },
      "id": "dataset:agibot-world",
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      "notes": {
        "_license_note": "source hedges on the licence; verify at primary source",
        "_org_roles": {
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        }
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        "first_seen": "2026-08-14",
        "last_seen": "2026-09-17",
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        "source_hosts": [
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          "huggingface.co"
        ],
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          "https://arxiv.org/abs/2503.06669"
        ]
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      "quality": {
        "age_days": 5,
        "completeness": 0.778,
        "confidence": "medium",
        "corroborated": false,
        "flags": [
          "license-needs-review",
          "single-source"
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        "grade": "B",
        "hosts": 2,
        "independent_hosts": 1,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2503.06669"
    },
    {
      "fields": {
        "commercial_use": false,
        "embodiment": "Franka Research 3 (simulated)",
        "episodes": 50000,
        "format": "zarr",
        "has_force": false,
        "hours": null,
        "license": "other (gated, non-commercial academic/education only)",
        "license_family": "research-only",
        "license_spdx": null,
        "modalities": [
          "action",
          "proprioception",
          "rgb",
          "text"
        ],
        "name": "AXIS Franka Dataset (Axis Sim Dataset V1)",
        "notes": "Verified 2026-09-09 from the HF tree API: data/ contains exactly action, head_camera, state; meta/ contains episode_ends. No wrench, effort, tactile or depth array. 100 root shards, names sum to 66,112 trajectories. 2.57 TB, 99,120 files, 2,162 trailing-30-day downloads.",
        "org": "Axis Robotics",
        "orgs": [
          "Axis Robotics"
        ],
        "redistribution": null,
        "url": "https://huggingface.co/datasets/axisrobotics/Franka-Dataset",
        "year": 2026
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      "id": "dataset:axis-franka-dataset-axis-sim-dataset-v1",
      "name": "AXIS Franka Dataset (Axis Sim Dataset V1)",
      "notes": {
        "_org_roles": {
          "Axis Robotics": [
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          ]
        }
      },
      "provenance": {
        "consent_license": "unknown",
        "first_seen": "2026-09-09",
        "last_seen": "2026-09-09",
        "method": "api",
        "source_hosts": [
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          "huggingface.co"
        ],
        "source_urls": [
          "https://huggingface.co/api/datasets/axisrobotics/Franka-Dataset",
          "https://axisaiorg.github.io/AXIS-V1",
          "https://huggingface.co/datasets/axisrobotics/Franka-Dataset"
        ]
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      "quality": {
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        "confidence": "high",
        "corroborated": true,
        "flags": [],
        "grade": "B",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://huggingface.co/datasets/axisrobotics/Franka-Dataset"
    },
    {
      "fields": {
        "commercial_use": null,
        "episodes": 1300,
        "has_force": false,
        "license": "MIT",
        "license_family": "unclear-scope",
        "license_spdx": "MIT",
        "modalities": [
          "bounding-boxes",
          "depth",
          "object-state",
          "occupancy",
          "proprioception",
          "rgb",
          "tactile"
        ],
        "name": "Bench2Dex",
        "notes": "Isaac Lab simulation benchmark, 12 bimanual dexterous embodiments, 26 long-horizon tasks, ~1.3K teleoperated demos via Manus glove + DexPilot + ARKit. Tactile is ray-cast penetration depth, explicitly not calibrated to any physical sensor and reported with no force units. All 20,800 evaluation episodes ran on RGB + proprioception; no tactile-conditioned baseline reported. Code: github.com/TriWorldBench/TriWorldBench",
        "org": "Shanghai Jiao Tong University",
        "orgs": [
          "Shanghai Jiao Tong University"
        ],
        "redistribution": null,
        "url": "https://arxiv.org/abs/2609.15726"
      },
      "id": "dataset:bench2dex",
      "name": "Bench2Dex",
      "notes": {
        "_license_conflict": "https://modelscope.cn/api/v1/datasets/Bench2Dex/teleopdata says License: 'Apache License 2.0'; ReadmeContent is ModelScope's default template, which states in Chinese that the contributor supplied no detailed dataset description; root tree is ['dataset', '.gitattributes', '.gitignore', 'README.md'] with no LICENSE file. 51,615 downloads, 472 GB. The sibling assets repo Bench2Dex/Bench2Dex carries ",
        "_license_note": "Correction: the row carried commercial_use true derived from the code licence while its own note said the data licence was unresolved. A code licence is not a data grant, so commercial use of the data is not established.",
        "_org_roles": {
          "Shanghai Jiao Tong University": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-16",
        "last_seen": "2026-09-18",
        "method": "refinery-mine",
        "source_hosts": [
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          "huggingface.co",
          "modelscope.cn"
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        "source_urls": [
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          "https://github.com/Bench2Dex/Bench2Dex",
          "https://modelscope.cn/api/v1/datasets/Bench2Dex/teleopdata",
          "https://huggingface.co/api/datasets/Bench2Dex/teleopdata",
          "https://arxiv.org/abs/2609.15726",
          "https://modelscope.cn/datasets/Bench2Dex/teleopdata",
          "https://huggingface.co/datasets/Bench2Dex/teleopdata"
        ]
      },
      "quality": {
        "age_days": 4,
        "completeness": 0.778,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "conflicted",
          "license-conflict",
          "license-verified"
        ],
        "grade": "B",
        "hosts": 4,
        "independent_hosts": 3,
        "sources": 7,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2609.15726"
    },
    {
      "fields": {
        "commercial_use": false,
        "episodes": 55,
        "has_force": true,
        "hours": 19.3,
        "license": "not released",
        "license_family": "unreleased",
        "license_spdx": null,
        "modalities": [
          "tactile"
        ],
        "name": "Beyond Gestures HOM (hand-object manipulation)",
        "org": "Meta Reality Labs Research",
        "orgs": [
          "Meta Reality Labs Research"
        ],
        "redistribution": false,
        "url": "https://arxiv.org/abs/2609.16518"
      },
      "id": "dataset:beyond-gestures-hom-hand-object-manipulation",
      "name": "Beyond Gestures HOM (hand-object manipulation)",
      "notes": {
        "_modalities_unmapped": [
          "OptiTrack hand pose"
        ],
        "_org_roles": {
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          ]
        }
      },
      "provenance": {
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        "last_seen": "2026-09-17",
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        ],
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          "https://arxiv.org/html/2609.16518v1",
          "https://arxiv.org/abs/2609.16518"
        ]
      },
      "quality": {
        "age_days": 5,
        "completeness": 0.889,
        "confidence": "high",
        "corroborated": false,
        "flags": [
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          "single-source"
        ],
        "grade": "B",
        "hosts": 1,
        "independent_hosts": 1,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2609.16518"
    },
    {
      "fields": {
        "commercial_use": false,
        "episodes": 38,
        "has_force": true,
        "hours": 12.7,
        "license": "not released",
        "license_family": "unreleased",
        "license_spdx": null,
        "modalities": [
          "force"
        ],
        "name": "Beyond Gestures HP + FF (single participant)",
        "org": "Meta Reality Labs Research",
        "orgs": [
          "Meta Reality Labs Research"
        ],
        "redistribution": false,
        "url": "https://arxiv.org/abs/2609.16518"
      },
      "id": "dataset:beyond-gestures-hp-ff-single-participant",
      "name": "Beyond Gestures HP + FF (single participant)",
      "notes": {
        "_modalities_unmapped": [
          "HP has OptiTrack pose only",
          "wrist pressure"
        ],
        "_org_roles": {
          "Meta Reality Labs Research": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-17",
        "last_seen": "2026-09-17",
        "method": "primary-source",
        "source_hosts": [
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      },
      "quality": {
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        "corroborated": false,
        "flags": [
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          "single-source"
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        "grade": "B",
        "hosts": 1,
        "independent_hosts": 1,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2609.16518"
    },
    {
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        "commercial_use": true,
        "hours": 21.7,
        "license": "CC-BY-4.0",
        "license_family": "permissive",
        "license_spdx": "CC-BY-4.0",
        "modalities": [
          "audio"
        ],
        "name": "BioDCASE 2026 Task 4: ATBFL",
        "notes": "19,633 five-second multilabel segments, 7 Antarctic blue and fin whale call types, 79.8% positive, 11 site-year deployments 2005-2017",
        "org": [
          "BioDCASE",
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        ],
        "orgs": [
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          "Australian Antarctic Data Centre"
        ],
        "redistribution": true,
        "url": "https://doi.org/10.5281/zenodo.19133112"
      },
      "id": "dataset:biodcase-2026-task-4-atbfl",
      "name": "BioDCASE 2026 Task 4: ATBFL",
      "notes": {
        "_license_note": "Zenodo API for record 19133112 returns license id 'cc-by-4.0' and access_right 'open' for 'BioDCASE 2026 Task 4: ATBFL Dataset' v1. Commercial use permitted with attribution to the creators. The recorded 'public (Zenodo)' was a hosting fact, not a licence.",
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        "_org_roles": {
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          "BioDCASE": [
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        }
      },
      "provenance": {
        "consent_license": "public",
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        "last_seen": "2026-09-17",
        "method": "refinery",
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          "https://zenodo.org/records/19133112",
          "https://arxiv.org/abs/2609.15255"
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      },
      "quality": {
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        "confidence": "high",
        "corroborated": true,
        "flags": [
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        ],
        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://doi.org/10.5281/zenodo.19133112"
    },
    {
      "fields": {
        "commercial_use": null,
        "license": "CC-BY-4.0",
        "license_family": "unclear-scope",
        "license_spdx": "CC-BY-4.0",
        "modalities": [
          "audio"
        ],
        "name": "BioDCASE 2026 Task 4: BirdSet subsets (HSN, POW, UHH)",
        "notes": "HSN 12,000 / POW 4,560 / UHH 36,637 five-second segments; 19 / 41 / 25 classes; 0.52 / 2.83 / 1.05 labels per segment; PerchV2 1536-d embeddings supplied instead of audio",
        "org": [
          "BioDCASE",
          "BirdSet"
        ],
        "orgs": [
          "BioDCASE",
          "BirdSet"
        ],
        "redistribution": true,
        "update_note": "updated 2026-09-22 from creativecommons.org: Creative Commons states CC BY 4.0 permits sharing and adaptation for any purpose, including commercially, subject to attribution.",
        "url": "https://doi.org/10.5281/zenodo.19340660"
      },
      "id": "dataset:biodcase-2026-task-4-birdset-subsets-hsn-pow-uhh",
      "name": "BioDCASE 2026 Task 4: BirdSet subsets (HSN, POW, UHH)",
      "notes": {
        "_license_conflict": "https://huggingface.co/datasets/DBD-research-group/BirdSet says Card licence cc-by-nc-4.0; researchers shall use this dataset only for non-commercial research and educational purposes, although each test dataset is licensed under CC BY 4.0; https://zenodo.org/records/7525805 says HSN source soundscapes (Sierra Nevada) are CC BY 4.0; https://zenodo.org/records/4656848 says POW source recordings (Ea",
        "_license_note": "Zenodo 19340660 returns cc-by-4.0 and ships Perch v2 embeddings, not audio. It says it assigns no single new data licence and use stays subject to BirdSet terms. Upstream HSN/UHH are CC BY 4.0 and POW CC0, which allow commercial use, but the BirdSet card adds a blanket non-commercial clause. Unresolved.",
        "_license_previously_recorded": "CC-BY-4.0 — permits commercial use with attribution.",
        "_org_roles": {
          "BioDCASE": [
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          ],
          "BirdSet": [
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          ]
        }
      },
      "provenance": {
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        "first_seen": "2026-09-17",
        "last_seen": "2026-09-22",
        "method": "refinery-update",
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          "creativecommons.org",
          "doi.org",
          "huggingface.co",
          "zenodo.org"
        ],
        "source_urls": [
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          "https://zenodo.org/api/records/4656848",
          "https://arxiv.org/abs/2609.15255",
          "https://zenodo.org/records/19340660",
          "https://huggingface.co/datasets/DBD-research-group/BirdSet",
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          "https://huggingface.co/datasets/DBD-research-group/BirdSet/raw/main/README.md",
          "https://zenodo.org/records/4656848",
          "https://zenodo.org/api/records/7078499",
          "https://zenodo.org/api/records/19340660",
          "https://zenodo.org/records/7078499",
          "https://huggingface.co/api/datasets/DBD-research-group/BirdSet"
        ]
      },
      "quality": {
        "age_days": 0,
        "completeness": 0.556,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "conflicted",
          "license-conflict",
          "license-verified"
        ],
        "grade": "B",
        "hosts": 5,
        "independent_hosts": 5,
        "sources": 14,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://doi.org/10.5281/zenodo.19340660"
    },
    {
      "fields": {
        "commercial_use": true,
        "embodiment": "human",
        "episodes": null,
        "format": "LeRobot/RLDS export",
        "has_force": true,
        "hours": null,
        "license": "commercial",
        "license_family": "commercial",
        "license_spdx": null,
        "modalities": [
          "force",
          "hand-pose",
          "imu",
          "rgb-egocentric"
        ],
        "name": "Blomega GX-1 capture",
        "org": "Blomega",
        "orgs": [
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        ],
        "redistribution": null,
        "url": "https://blomegalab.com",
        "year": 2026
      },
      "id": "dataset:blomega-gx-1-capture",
      "name": "Blomega GX-1 capture",
      "notes": {
        "_org_roles": {
          "Blomega": [
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          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-21",
        "method": "refinery-corroborate",
        "source_hosts": [
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        "source_urls": [
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      },
      "quality": {
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        "hosts": 2,
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        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://blomegalab.com"
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    {
      "fields": {
        "commercial_use": true,
        "embodiment": "single-arm",
        "episodes": 60096,
        "format": "RLDS",
        "has_force": false,
        "hours": 333.9,
        "license": "CC BY 4.0",
        "license_family": "permissive",
        "license_spdx": "CC-BY-4.0",
        "modalities": [
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        "name": "BridgeData V2",
        "org": "UC Berkeley",
        "orgs": [
          "UC Berkeley"
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        "redistribution": true,
        "update_note": "updated 2026-09-22 from robotdata.dev: RobotData reports BridgeData V2 as 60K episodes and 333.9 hours.",
        "url": "https://rail-berkeley.github.io/bridgedata",
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      "id": "dataset:bridgedata-v2",
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      "notes": {
        "_org_roles": {
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        }
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    {
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        "access_gated": "no",
        "commercial_use": true,
        "downloads_30d": 1371330,
        "episodes": 365000000,
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        "license_family": "permissive",
        "license_spdx": "ODC-By-1.0",
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        "note": "Added from the Hugging Face datasets API on 2026-09-17 as one of the most-downloaded corpora whose card tag permits commercial use. 1,371,330 downloads in 30 days, 668 likes, card last modified 2024-01-09. The licence is the uploader's card tag: the repo tree was walked and holds no LICENSE file, so commercial use is NOT established. Size, hours and episodes are null: the API does not state them.",
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        "_license_note": "The repo has no LICENSE file, but the README carries a real grant, not a bare tag: 'We are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.' ODC-BY permits commercial use of the database and requires attribution. It conveys no rights in the underlying web text, and the Common Cra",
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        "orgs": [
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      "id": "dataset:community-notes-public-data-2026-09-20-snapshot",
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        "_license_note": "licence string did not match any known family",
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        "last_seen": "2026-09-21",
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        "source_hosts": [
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      "quality": {
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        "completeness": 0.667,
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      "type": "dataset",
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        "license_family": "unknown",
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      "notes": {
        "_license_note": "licence string did not match any known family",
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    {
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        "note": "Added from the Hugging Face datasets API on 2026-09-17 as one of the most-downloaded corpora whose card tag permits commercial use. 584,516 downloads in 30 days, 314 likes, card last modified 2024-07-22. The licence is the uploader's card tag: the repo tree was walked and holds no LICENSE file, so commercial use is NOT established. Size, hours and episodes are null: the API does not state them.",
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      "id": "dataset:dclm-baseline-1-0",
      "name": "dclm-baseline-1.0",
      "notes": {
        "_license_conflict": "https://huggingface.co/api/datasets/mlfoundations/dclm-baseline-1.0 says cardData.license cc-by-4.0, tag license:cc-by-4.0, lastModified 2024-07-22T15:27:52Z, gated false, 27,840 siblings of which the only markdown or licence-shaped file is README.md. No LICENSE file has been added.; https://github.com/mlfoundations/dclm says MIT, on the construction-code repository, which covers the pipeline and ",
        "_license_note": "UNCHANGED. Re-checked live: lastModified is still 2024-07-22T15:27:52Z, identical to round 5, and the full 27,840-entry sibling list still contains no LICENSE. One card still says two things. Commercial use stays null and the conflict stands.",
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        "_org_roles": {
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          ]
        }
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        "source_urls": [
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          "https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0/blob/main/README.md",
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          "https://huggingface.co/api/datasets/mlfoundations/dclm-baseline-1.0",
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        "corroborated": true,
        "flags": [
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          "license-conflict",
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        "grade": "B",
        "hosts": 5,
        "independent_hosts": 5,
        "sources": 8,
        "stale": false,
        "stale_after_days": 365
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      "type": "dataset",
      "url": "https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0"
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    {
      "fields": {
        "commercial_use": true,
        "embodiment": "human",
        "episodes": 787,
        "format": "custom",
        "has_force": false,
        "hours": null,
        "license": "CC-BY-4.0",
        "license_family": "permissive",
        "license_spdx": "CC-BY-4.0",
        "modalities": [
          "hand-pose",
          "rgb"
        ],
        "name": "DexCap",
        "org": "Stanford",
        "orgs": [
          "Stanford"
        ],
        "redistribution": true,
        "update_note": "updated 2026-09-22 from researchgate.net: An independent comparison paper reports DexCap has 787 demonstrations.",
        "url": "https://dex-cap.github.io/",
        "year": 2024
      },
      "id": "dataset:dexcap",
      "name": "DexCap",
      "notes": {
        "_license_note": "The DATA is CC BY 4.0 per the official HuggingFace dataset card (linked from the project page). The CODE repository github.com/j96w/DexCap is separately MIT (Copyright (c) 2024 Chen Wang). These govern different artifacts, so this is not a conflict. Commercial use is permitted with attribution. The previously recorded string 'open' was too vague to act on.",
        "_org_roles": {
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        "corroborated": true,
        "flags": [
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        "stale": false,
        "stale_after_days": 365
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    {
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        "license_family": "ots",
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        "modalities": [
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        "url": "https://blomega.com/explore-ots-datasets"
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        "_org_roles": {
          "BLOMEGA": [
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        }
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      },
      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
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    {
      "fields": {
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        "episodes": 7470,
        "license": "OTS (booking emails: confirmation/cancellation/modification)",
        "license_family": "ots",
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        "modalities": [
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        "_org_roles": {
          "BLOMEGA": [
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        }
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          "https://blomega.com/explore-ots-datasets"
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        "flags": [
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      },
      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
      "fields": {
        "commercial_use": true,
        "episodes": 408000,
        "license": "OTS (408K clips)",
        "license_family": "ots",
        "license_spdx": null,
        "modalities": [
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      "notes": {
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      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
      "fields": {
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        "commercial_use": null,
        "episodes": 200,
        "has_force": true,
        "hours": null,
        "license": null,
        "license_family": "unknown",
        "license_spdx": null,
        "modalities": [
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          "rgb"
        ],
        "name": "Dreaming Contact Dataset (v1)",
        "notes": "50 force-aware rollouts retained per task across 4 tasks (wiping, peeling, stacking, pressing). Force traces are measured by the Franka joint-torque estimate during execution; the desired profile that produced them was shaped by generated audio inside a hand-set 15 N cap.",
        "org": [
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        "orgs": [
          "GRASP Lab",
          "University of Pennsylvania"
        ],
        "redistribution": null,
        "url": "https://dreamingcontactsound.github.io/"
      },
      "id": "dataset:dreaming-contact-dataset-v1",
      "name": "Dreaming Contact Dataset (v1)",
      "notes": {
        "_license_note": "no licence stated in source",
        "_modalities_unmapped": [
          "end-effector pose"
        ],
        "_org_roles": {
          "GRASP Lab": [
            "org"
          ],
          "University of Pennsylvania": [
            "org"
          ]
        }
      },
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        "consent_license": "public",
        "first_seen": "2026-09-21",
        "last_seen": "2026-09-21",
        "method": "paper-read",
        "source_hosts": [
          "arxiv.org",
          "dreamingcontactsound.github.io"
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        "source_urls": [
          "https://arxiv.org/html/2609.19137v1",
          "https://dreamingcontactsound.github.io/"
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      },
      "quality": {
        "age_days": 1,
        "completeness": 0.778,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "modality-unmapped"
        ],
        "grade": "B",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://dreamingcontactsound.github.io/"
    },
    {
      "fields": {
        "commercial_use": true,
        "embodiment": "single-arm",
        "episodes": 76000,
        "format": "RLDS",
        "has_force": false,
        "hours": 350,
        "license": "CC-BY-4.0",
        "license_family": "permissive",
        "license_spdx": "CC-BY-4.0",
        "modalities": [
          "proprioception",
          "rgb-stereo",
          "text"
        ],
        "name": "DROID",
        "org": "Stanford",
        "orgs": [
          "Stanford"
        ],
        "redistribution": true,
        "url": "https://droid-dataset.github.io/",
        "year": 2024
      },
      "id": "dataset:droid",
      "name": "DROID",
      "notes": {
        "_license_note": "Two independent sources agree, so no conflict. The HuggingFace dataset card linked from the official project page (maintained by DROID co-lead Karl Pertsch) states cc-by-4.0, and the paper states the same in two places (https://arxiv.org/html/2403.12945v2). The DATA is therefore CC BY 4.0: commercial use and redistribution permitted with attribution. The previously recorded 'MIT / CC (per subset)'",
        "_license_previously_recorded": "MIT / CC (per subset)",
        "_org_roles": {
          "Stanford": [
            "org"
          ]
        },
        "_orgs_dropped": [
          "consortium"
        ]
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          "blomega.com",
          "droid-dataset.github.io",
          "emergentmind.com",
          "huggingface.co"
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        "source_urls": [
          "https://blomega.com/guides/licensable-robotics-training-datasets",
          "https://droid-dataset.github.io/",
          "https://www.emergentmind.com/topics/droid-a-large-scale-in-the-wild-robot-manipulation-dataset",
          "https://huggingface.co/datasets/KarlP/droid/raw/main/README.md"
        ]
      },
      "quality": {
        "age_days": 6,
        "completeness": 0.889,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "license-needs-review",
          "license-verified"
        ],
        "grade": "A",
        "hosts": 4,
        "independent_hosts": 3,
        "sources": 4,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://droid-dataset.github.io/"
    },
    {
      "fields": {
        "commercial_use": false,
        "embodiment": "human",
        "episodes": null,
        "format": "proprietary",
        "has_force": false,
        "hours": 1000000,
        "license": "proprietary (no public release)",
        "license_family": "unreleased",
        "license_spdx": null,
        "modalities": [
          "rgb-egocentric"
        ],
        "name": "DYNA-2 corpus",
        "org": "Dyna Robotics",
        "orgs": [
          "Dyna Robotics"
        ],
        "redistribution": false,
        "url": "https://www.dyna.co/dyna-2",
        "year": 2026
      },
      "id": "dataset:dyna-2-corpus",
      "name": "DYNA-2 corpus",
      "notes": {
        "_org_roles": {
          "Dyna Robotics": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
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        "last_seen": "2026-08-14",
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        "source_hosts": [
          "dyna.co"
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        "source_urls": [
          "https://www.dyna.co/dyna-2"
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      },
      "quality": {
        "age_days": 39,
        "completeness": 0.778,
        "confidence": "medium",
        "corroborated": false,
        "flags": [
          "single-source"
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        "grade": "B",
        "hosts": 1,
        "independent_hosts": 1,
        "sources": 1,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://www.dyna.co/dyna-2"
    },
    {
      "fields": {
        "commercial_use": true,
        "embodiment": "human",
        "episodes": 5035,
        "format": "custom",
        "has_force": false,
        "hours": 1286,
        "license": "Bespoke Ego-Exo4D licence agreement, 12 licensors: commercial product development allowed for enumerated purposes; no su...",
        "license_family": "commercial",
        "license_spdx": null,
        "modalities": [
          "gaze",
          "imu",
          "point-cloud",
          "rgb-egocentric",
          "rgb-exocentric"
        ],
        "name": "Ego-Exo4D",
        "org": "Meta",
        "orgs": [
          "Meta"
        ],
        "redistribution": false,
        "update_note": "updated 2026-09-22 from link.springer.com: The independently published dataset article states the collection contains 5,035 instances.",
        "url": "https://arxiv.org/abs/2311.18259",
        "year": 2023
      },
      "id": "dataset:ego-exo4d",
      "name": "Ego-Exo4D",
      "notes": {
        "_license_note": "Supersedes the earlier null. The published 'DRAFT FOR REVIEW' PDF holds 12 agreements (CMU, Meta, Georgia Tech, IIIT-H, Indiana, Los Andes, UNC, UPenn, NUS, SFU, Minnesota, Tokyo); all 12 permit uses 2(a)-2(c) 'for academic research, commercial or noncommercial product development'. Data may not appear in any product; no sublicense or transfer. Signed version is gated at ego4d.dev.",
        "_org_roles": {
          "Meta": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-22",
        "method": "refinery-update",
        "source_hosts": [
          "arxiv.org",
          "blomega.com",
          "docs.ego-exo4d-data.org",
          "ego4d-data.org",
          "emergentmind.com",
          "link.springer.com"
        ],
        "source_urls": [
          "https://blomega.com/guides/licensable-robotics-training-datasets",
          "https://docs.ego-exo4d-data.org/getting-started",
          "https://arxiv.org/abs/2311.18259",
          "https://www.emergentmind.com/topics/egoexo4d-dataset",
          "https://ego4d-data.org/pdfs/Ego-Exo4D-Model-License.pdf",
          "https://link.springer.com/article/10.1007/s11263-025-02557-6"
        ]
      },
      "quality": {
        "age_days": 0,
        "completeness": 0.889,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "license-verified"
        ],
        "grade": "A",
        "hosts": 6,
        "independent_hosts": 5,
        "sources": 6,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2311.18259"
    },
    {
      "fields": {
        "commercial_use": false,
        "episodes": null,
        "has_force": false,
        "hours": 18561,
        "license": "not released (project page code link is '#')",
        "license_family": "unreleased",
        "license_spdx": null,
        "modalities": [
          "end-effector-pose",
          "gripper-state",
          "rgb-rendered"
        ],
        "morphologies": 15,
        "name": "Ego2Robot synthesized robot data",
        "org": [
          "Qwen Team",
          "Renmin University AIM3",
          "ShanghaiTech",
          "BIGAI"
        ],
        "orgs": [
          "Qwen Team",
          "Renmin University AIM3",
          "ShanghaiTech",
          "BIGAI"
        ],
        "redistribution": false,
        "robot_data_hours": 6565,
        "robotwin_main_1to1_vs_robot_only": {
          "clean": [
            62.2,
            68.1
          ],
          "ebench": [
            39.6,
            49.8
          ],
          "embody": [
            23.8,
            27.2
          ],
          "franka_perturb": [
            7,
            5.3
          ],
          "rand": [
            50.9,
            53.5
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        },
        "robotwin_randomized_ego_only_ablation": {
          "ego2r_15_morph": 33.5,
          "ego2r_15_plus_raw": 37.3,
          "ego2r_1_morph": 31.7,
          "raw_ego": 28.1
        },
        "source_ego_hours": {
          "ANT": 7,
          "EgoDex": 732,
          "EgoVerse": 954,
          "ViTRA": 249,
          "total": 1940
        },
        "url": "https://arxiv.org/abs/2608.02580"
      },
      "id": "dataset:ego2robot-synthesized-robot-data",
      "name": "Ego2Robot synthesized robot data",
      "notes": {
        "_org_roles": {
          "BIGAI": [
            "org"
          ],
          "Qwen Team": [
            "org"
          ],
          "Renmin University AIM3": [
            "org"
          ],
          "ShanghaiTech": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-15",
        "last_seen": "2026-09-21",
        "method": "refinery-corroborate",
        "source_hosts": [
          "aiweekly.co",
          "arxiv.org"
        ],
        "source_urls": [
          "https://aiweekly.co/alerts/ego2robot-synthesizes-18561-robot-hours-from-human-video",
          "https://arxiv.org/html/2608.02580",
          "https://arxiv.org/abs/2608.02580"
        ]
      },
      "quality": {
        "age_days": 1,
        "completeness": 0.778,
        "confidence": "high",
        "corroborated": true,
        "flags": [],
        "grade": "B",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2608.02580"
    },
    {
      "fields": {
        "commercial_use": true,
        "embodiment": "human",
        "format": "custom",
        "has_force": false,
        "hours": 3670,
        "license": "Ego4D license",
        "license_family": "commercial-restricted",
        "license_spdx": null,
        "modalities": [
          "audio",
          "gaze",
          "imu",
          "rgb"
        ],
        "name": "Ego4D",
        "org": "Meta",
        "orgs": [
          "Meta"
        ],
        "redistribution": false,
        "url": "https://arxiv.org/abs/2110.07058",
        "year": 2021
      },
      "id": "dataset:ego4d",
      "name": "Ego4D",
      "notes": {
        "_license_note": "Bespoke agreement, not an SPDX licence, and access is gated: it must be signed at ego4d.dev and credentials arrive in about 48 hours. The 36-page document bundles 12 separate agreements, one per partner institution (University of Bristol, Carnegie Mellon, Georgia Tech Research Corporation, IIIT, Indiana University, KAUST, Universidad de los Andes, National University of Singapore, Regents of the U",
        "_org_roles": {
          "Meta": [
            "org"
          ]
        },
        "_orgs_dropped": [
          "consortium"
        ]
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-16",
        "method": "import",
        "source_hosts": [
          "arxiv.org",
          "blomega.com",
          "ego4d-data.org"
        ],
        "source_urls": [
          "https://ego4d-data.org/pdfs/Ego4D-Licenses-Draft.pdf",
          "https://arxiv.org/abs/2110.07058",
          "https://blomega.com/guides/licensable-robotics-training-datasets"
        ]
      },
      "quality": {
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        "completeness": 0.778,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "license-verified"
        ],
        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2110.07058"
    },
    {
      "fields": {
        "capture_device": "Apple Vision Pro, ARKit",
        "commercial_use": false,
        "has_force": false,
        "hours": 829,
        "license": "CC BY-NC-ND (non-commercial, no derivatives), stated in the apple/ml-egodex README; LeRobot-format mirrors on Hugging Face carry cc-by-nc-nd-4.0",
        "license_family": "noncommercial",
        "license_spdx": "CC-BY-NC-ND-4.0",
        "modalities": [
          "rgb"
        ],
        "name": "EgoDex",
        "note": "The human pool behind ReWeight (arXiv:2609.13851). NC plus ND is the tightest licence combination in common use for a corpus this large; ReWeight retargets every trajectory with LeVR and refines it with a residual PPO policy before use, which is a transformation of the licensed material.",
        "org": "Apple",
        "orgs": [
          "Apple"
        ],
        "redistribution": false,
        "splits_hours": {
          "post_freeze_additional": 97,
          "test": 7,
          "train": 725
        },
        "tasks": 194,
        "url": "https://arxiv.org/abs/2505.11709"
      },
      "id": "dataset:egodex",
      "name": "EgoDex",
      "notes": {
        "_modalities_unmapped": [
          "3d_hand_and_finger_pose",
          "head_and_upper_body_pose",
          "language_annotation"
        ],
        "_org_roles": {
          "Apple": [
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          ]
        }
      },
      "provenance": {
        "consent_license": "unknown",
        "first_seen": "2026-09-22",
        "last_seen": "2026-09-22",
        "method": "primary-license-check",
        "source_hosts": [
          "arxiv.org",
          "github.com",
          "huggingface.co"
        ],
        "source_urls": [
          "https://github.com/apple/ml-egodex",
          "https://arxiv.org/abs/2505.11709",
          "https://huggingface.co/api/datasets?search=EgoDex&full=true"
        ]
      },
      "quality": {
        "age_days": 0,
        "completeness": 0.778,
        "confidence": "high",
        "corroborated": true,
        "flags": [
          "modality-unmapped"
        ],
        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2505.11709"
    },
    {
      "fields": {
        "commercial_use": null,
        "embodiment": "human",
        "episodes": null,
        "format": "custom",
        "has_force": false,
        "hours": 20854,
        "license": "No dataset licence published: the paper states no terms and offers no download, no repository or card exists for it, and...",
        "license_family": "unknown",
        "license_note": "arXiv 2602.16710v1, 18 Feb 2026, NVIDIA with UC Berkeley, UT Austin, Stanford and Georgia Tech. Paper licence CC BY 4.0 covers the paper, not the 20,854 hours of egocentric video. The full text names no project page, repository or host, and a Hugging Face search returns no EgoScale dataset. NVIDIA commercially licenses a model pretrained on it while publishing no terms for the data, which is a gap",
        "license_spdx": null,
        "modalities": [
          "hand-pose",
          "rgb"
        ],
        "name": "EgoScale",
        "org": "UT Austin RPL",
        "orgs": [
          "UT Austin RPL"
        ],
        "redistribution": null,
        "url": "https://arxiv.org/abs/2602.16710",
        "year": 2026
      },
      "id": "dataset:egoscale",
      "name": "EgoScale",
      "notes": {
        "_license_note": "source hedges on the licence; verify at primary source",
        "_org_roles": {
          "UT Austin RPL": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-17",
        "method": "refinery-mine",
        "source_hosts": [
          "arxiv.org",
          "github.com"
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        "source_urls": [
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          "https://arxiv.org/abs/2602.16710",
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      },
      "quality": {
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        "completeness": 0.778,
        "confidence": "medium",
        "corroborated": true,
        "flags": [
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        ],
        "grade": "B",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2602.16710"
    },
    {
      "fields": {
        "commercial_use": true,
        "embodiment": "human",
        "episodes": 80000,
        "format": "custom",
        "has_force": false,
        "hours": 1362,
        "license": "MIT",
        "license_family": "permissive",
        "license_spdx": "MIT",
        "modalities": [
          "hand-pose",
          "head-pose",
          "rgb"
        ],
        "name": "EgoVerse",
        "org": [
          "Georgia Tech",
          "Stanford",
          "UC San Diego",
          "ETH",
          "Massachusetts Institute of Technology",
          "Meta",
          "Scale"
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        "orgs": [
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          "Stanford",
          "UC San Diego",
          "ETH",
          "Massachusetts Institute of Technology",
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          "Scale"
        ],
        "redistribution": true,
        "url": "https://arxiv.org/abs/2604.07607",
        "year": 2026
      },
      "id": "dataset:egoverse",
      "name": "EgoVerse",
      "notes": {
        "_license_conflict": "https://github.com/GaTech-RL2/EgoVerse/blob/main/LICENSE says MIT License, Copyright (c) 2025 EgoMimic-Team. This is the repository-root LICENSE file and on its face covers the repository.; https://raw.githubusercontent.com/GaTech-RL2/EgoVerse/main/CONTRIBUTING_DATA.md says The Resources table in the consortium's own data-contribution document lists 'License | CC BY-SA 4.0' alongside the website, ",
        "_license_note": "Two licences are stated inside the same repository and no winner is picked here. The repo-root LICENSE says MIT; CONTRIBUTING_DATA.md says CC BY-SA 4.0 for the project's resources. The README has no licence section at all. Both MIT and CC BY-SA 4.0 permit commercial use and redistribution, so the commercial verdict is safe either way, BUT the obligations differ materially: CC BY-SA 4.0 is copyleft",
        "_license_previously_recorded": "Repository LICENSE file: 'MIT License. Copyright (c) 2025 EgoMimic-Team'. Repository data documentation: '| License | CC...",
        "_org_roles": {
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          ],
          "Georgia Tech": [
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          ],
          "Massachusetts Institute of Technology": [
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          ],
          "Meta": [
            "org"
          ],
          "Scale": [
            "org"
          ],
          "Stanford": [
            "org"
          ],
          "UC San Diego": [
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          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-16",
        "method": "import",
        "source_hosts": [
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          "github.com",
          "raw.githubusercontent.com"
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        "source_urls": [
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          "https://arxiv.org/abs/2604.07607",
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        ]
      },
      "quality": {
        "age_days": 6,
        "completeness": 0.889,
        "confidence": "medium",
        "corroborated": true,
        "flags": [
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          "license-conflict",
          "license-verified"
        ],
        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2604.07607"
    },
    {
      "fields": {
        "commercial_use": true,
        "hours": 8500,
        "license": "OTS, en",
        "license_family": "ots",
        "license_spdx": null,
        "modalities": [
          "rgb"
        ],
        "name": "English Animation Videos",
        "org": "BLOMEGA",
        "orgs": [
          "BLOMEGA"
        ],
        "redistribution": null,
        "url": "https://blomega.com/explore-ots-datasets"
      },
      "id": "dataset:english-animation-videos",
      "name": "English Animation Videos",
      "notes": {
        "_org_roles": {
          "BLOMEGA": [
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          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-21",
        "method": "refinery-corroborate",
        "source_hosts": [
          "blomega.com",
          "defined.ai"
        ],
        "source_urls": [
          "https://defined.ai/datasets/english-animation-videos",
          "https://blomega.com/datasets.json",
          "https://blomega.com/explore-ots-datasets"
        ]
      },
      "quality": {
        "age_days": 1,
        "completeness": 0.667,
        "confidence": "high",
        "corroborated": true,
        "flags": [],
        "grade": "B",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
      "fields": {
        "commercial_use": true,
        "episodes": 22500000,
        "license": "ODbL-1.0",
        "license_family": "permissive",
        "license_spdx": "ODbL-1.0",
        "modalities": [
          "text"
        ],
        "name": "English-French Translation Pairs",
        "org": "BLOMEGA",
        "orgs": [
          "BLOMEGA"
        ],
        "redistribution": true,
        "url": "https://blomega.com/explore-ots-datasets"
      },
      "id": "dataset:english-french-translation-pairs",
      "name": "English-French Translation Pairs",
      "notes": {
        "_license_note": "Listing text: 'Parallel EN<->FR corpus for NMT training (Tatoeba + OPUS). 22.5M sentence pairs', price FREE, no licence. Tatoeba downloads page: 'These files are released under CC BY 2.0 FR'. OPUS publishes no blanket licence; each of its corpora carries its own. Commercial use cannot be settled until the OPUS subsets used are named. 'Free' is a price, not a licence.",
        "_license_previously_recorded": "free (isAccessibleForFree), 22.5M sentence pairs, en-fr",
        "_org_roles": {
          "BLOMEGA": [
            "org"
          ]
        }
      },
      "provenance": {
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        "first_seen": "2026-08-14",
        "last_seen": "2026-09-18",
        "method": "import",
        "source_hosts": [
          "blomega.com",
          "kaggle.com",
          "tatoeba.org"
        ],
        "source_urls": [
          "https://www.kaggle.com/datasets/dhruvildave/en-fr-translation-dataset",
          "https://tatoeba.org/en/downloads",
          "https://blomega.com/explore-ots-datasets",
          "https://blomega.com/datasets.json"
        ]
      },
      "quality": {
        "age_days": 4,
        "completeness": 0.667,
        "confidence": "high",
        "corroborated": true,
        "flags": [
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        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 4,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
      "fields": {
        "commercial_use": false,
        "embodiment": "human",
        "episodes": 700,
        "format": "custom",
        "has_force": false,
        "hours": 100,
        "license": "CC BY-NC",
        "license_family": "noncommercial",
        "license_spdx": "CC-BY-NC-4.0",
        "modalities": [
          "audio",
          "rgb"
        ],
        "name": "EPIC-KITCHENS",
        "org": "University of Bristol",
        "orgs": [
          "University of Bristol"
        ],
        "redistribution": true,
        "update_note": "updated 2026-09-22 from kineticblocks.com: The independent EPIC-KITCHENS-100 listing states the collection has 700 variable-length video episodes.",
        "url": "https://epic-kitchens.github.io/",
        "year": 2018
      },
      "id": "dataset:epic-kitchens",
      "name": "EPIC-KITCHENS",
      "notes": {
        "_org_roles": {
          "University of Bristol": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-22",
        "method": "refinery-update",
        "source_hosts": [
          "epic-kitchens.github.io",
          "kineticblocks.com"
        ],
        "source_urls": [
          "https://www.kineticblocks.com/open-data/epic-kitchens-100",
          "https://epic-kitchens.github.io/"
        ]
      },
      "quality": {
        "age_days": 0,
        "completeness": 0.889,
        "confidence": "high",
        "corroborated": true,
        "flags": [],
        "grade": "A",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://epic-kitchens.github.io/"
    },
    {
      "fields": {
        "commercial_use": true,
        "episodes": 2000000,
        "license": "free; 2M pairs across 21 EU languages",
        "license_family": "permissive",
        "license_spdx": null,
        "modalities": [
          "text"
        ],
        "name": "Europarl Parallel Corpus",
        "org": "BLOMEGA",
        "orgs": [
          "BLOMEGA"
        ],
        "redistribution": true,
        "url": "https://blomega.com/explore-ots-datasets"
      },
      "id": "dataset:europarl-parallel-corpus",
      "name": "Europarl Parallel Corpus",
      "notes": {
        "_license_note": "The corpus page (statmt.org) does not address commercial use, saying only 'We are not aware of any copyright restrictions of the material.' The rights holder's legal notice authorises reuse of EP text 'for personal use or for further non-commercial or commercial dissemination, provided that the entire item is reproduced and the source is acknowledged'; partial reproductions must cite the URL.",
        "_org_roles": {
          "BLOMEGA": [
            "org"
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        }
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      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-08-14",
        "last_seen": "2026-09-17",
        "method": "import",
        "source_hosts": [
          "blomega.com",
          "europarl.europa.eu",
          "statmt.org"
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        "source_urls": [
          "https://www.statmt.org/europarl",
          "https://www.europarl.europa.eu/legal-notice/en",
          "https://blomega.com/datasets.json",
          "https://blomega.com/explore-ots-datasets"
        ]
      },
      "quality": {
        "age_days": 5,
        "completeness": 0.667,
        "confidence": "high",
        "corroborated": true,
        "flags": [
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        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 4,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
      "fields": {
        "commercial_use": true,
        "license": "Apache-2.0",
        "license_family": "permissive",
        "license_spdx": "Apache-2.0",
        "modalities": [
          "text"
        ],
        "name": "FarsTail",
        "note": "10,367 Persian NLI examples. Web-normalized annotation density 0.60, the only one of four measured Persian tasks below the web-proportional baseline.",
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        "orgs": [
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        ],
        "redistribution": true,
        "url": "https://arxiv.org/abs/2608.24698"
      },
      "id": "dataset:farstail",
      "name": "FarsTail",
      "notes": {
        "_license_note": "The URL previously recorded for this dataset (arXiv:2608.24698) is wrong: that paper is 'The Annotation Bottleneck in Persian Text NLP', a 2026 survey that reviews 34 Persian resources, not FarsTail's own source. The primary source is the FarsTail repository from the Data Mining Lab, University of Qom, whose root LICENSE is Apache-2.0 and whose repository contains the dataset itself in a data/ dir",
        "_org_roles": {
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        }
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      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-16",
        "last_seen": "2026-09-16",
        "method": "refinery",
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        "corroborated": true,
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        "grade": "B",
        "hosts": 2,
        "independent_hosts": 2,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
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    {
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        "downloads_30d": 3030510,
        "license": "Apache-2.0",
        "license_family": "permissive",
        "license_spdx": "Apache-2.0",
        "name": "FineFineWeb",
        "note": "Added from the Hugging Face datasets API on 2026-09-17 as one of the most-downloaded corpora whose card tag permits commercial use. 3,030,510 downloads in 30 days, 189 likes, card last modified 2024-12-19. The licence is the uploader's card tag: the repo tree was walked and holds no LICENSE file, so commercial use is NOT established. Size, hours and episodes are null: the API does not state them.",
        "org": "M-A-P",
        "orgs": [
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        ],
        "redistribution": null,
        "update_note": "updated 2026-09-22 from apache.org: Apache License 2.0 grants royalty-free rights to reproduce, distribute, sublicense, and sell the work, subject to its conditions.",
        "url": "https://huggingface.co/datasets/m-a-p/FineFineWeb"
      },
      "id": "dataset:finefineweb",
      "name": "FineFineWeb",
      "notes": {
        "_license_conflict": "https://huggingface.co/api/datasets/m-a-p/FineFineWeb says cardData.license apache-2.0, tag license:apache-2.0, lastModified 2024-12-19T11:34:03Z, gated false, 66,109 siblings with no LICENSE file.; https://huggingface.co/datasets/HuggingFaceFW/fineweb/raw/main/README.md says The upstream corpus is released under ODC-By v1.0 and is additionally subject to the Common Crawl Terms of Use.",
        "_license_note": "UNCHANGED. Re-checked live: lastModified still 2024-12-19T11:34:03Z, no LICENSE file among 66,109 files. A card tag alone never establishes commercial use, and a derivative of an ODC-By corpus cannot shed the attribution obligation by being relabelled Apache-2.0. Commercial use stays null and the conflict stands.",
        "_license_previously_recorded": "Apache-2.0 — permits commercial use, including sale and sublicensing, subject to license conditions.",
        "_org_roles": {
          "M-A-P": [
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        "method": "refinery-update",
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          "huggingface.co"
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        "source_urls": [
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          "https://www.apache.org/licenses/LICENSE-2.0",
          "https://huggingface.co/api/datasets/m-a-p/FineFineWeb",
          "https://huggingface.co/datasets/HuggingFaceFW/fineweb/raw/main/README.md",
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        ]
      },
      "quality": {
        "age_days": 0,
        "completeness": 0.556,
        "confidence": "high",
        "corroborated": true,
        "flags": [
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          "license-conflict",
          "license-verified"
        ],
        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 6,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://huggingface.co/datasets/m-a-p/FineFineWeb"
    },
    {
      "fields": {
        "commercial_use": true,
        "hours": 5000,
        "license": "OTS, en",
        "license_family": "ots",
        "license_spdx": null,
        "modalities": [
          "rgb"
        ],
        "name": "Food Videos",
        "org": "BLOMEGA",
        "orgs": [
          "BLOMEGA"
        ],
        "redistribution": null,
        "url": "https://blomega.com/explore-ots-datasets"
      },
      "id": "dataset:food-videos",
      "name": "Food Videos",
      "notes": {
        "_org_roles": {
          "BLOMEGA": [
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          ]
        }
      },
      "provenance": {
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        "first_seen": "2026-08-14",
        "last_seen": "2026-08-14",
        "method": "import",
        "source_hosts": [
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        "source_urls": [
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      },
      "quality": {
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        "completeness": 0.667,
        "confidence": "high",
        "corroborated": false,
        "flags": [
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        "grade": "B",
        "hosts": 1,
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        "sources": 2,
        "stale": false,
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      },
      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
      "fields": {
        "commercial_use": false,
        "has_force": true,
        "hours": 10,
        "license": "unreleased, listed as under preparation",
        "license_family": "unreleased",
        "license_spdx": null,
        "modalities": [
          "force",
          "imu",
          "rgb",
          "semg"
        ],
        "name": "ForceBand EMG2Force pretraining dataset",
        "notes": "4 users. Repo ships code, BOM, checkpoints and an eval slice (data/demos, data/splits, data/val); the full corpus is an unchecked roadmap item as of 2026-09-09.",
        "org": [
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          "University of Maryland",
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        ],
        "orgs": [
          "Amazon FAR",
          "University of Maryland",
          "Johns Hopkins"
        ],
        "redistribution": false,
        "url": "https://github.com/Bottle101/ForceBand"
      },
      "id": "dataset:forceband-emg2force-pretraining-dataset",
      "name": "ForceBand EMG2Force pretraining dataset",
      "notes": {
        "_org_roles": {
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          "Johns Hopkins": [
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          "University of Maryland": [
            "org"
          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-09",
        "last_seen": "2026-09-21",
        "method": "refinery",
        "source_hosts": [
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          "github.com"
        ],
        "source_urls": [
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        "completeness": 0.778,
        "confidence": "high",
        "corroborated": false,
        "flags": [
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        "grade": "B",
        "hosts": 2,
        "independent_hosts": 1,
        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://github.com/Bottle101/ForceBand"
    },
    {
      "fields": {
        "commercial_use": true,
        "license": "MIT",
        "license_family": "permissive",
        "license_spdx": "MIT",
        "modalities": [
          "text"
        ],
        "name": "GAPA (Gender Associations of Physical Attributes)",
        "notes": "316 physical attributes, 14,706 gender-association ratings, 304 US annotators, 7-point Likert, cross-classified; 53% of attributes significantly gender-associated; released predictor olmo2-7b-base r=0.764",
        "org": "University of California, Los Angeles",
        "orgs": [
          "University of California, Los Angeles"
        ],
        "redistribution": true,
        "url": "https://github.com/Yingjia-Wan/GAPA"
      },
      "id": "dataset:gapa-gender-associations-of-physical-attributes",
      "name": "GAPA (Gender Associations of Physical Attributes)",
      "notes": {
        "_license_note": "LICENSE says the MIT grant covers both code and data, including the gender-association ratings; the HF card agrees (mit). GitHub shows NOASSERTION only because of added text. Carve-outs: LitBank extracts stay CC BY 4.0, quoted in-copyright novel sentences grant no rights, predictor model is Apache-2.0.",
        "_license_previously_recorded": "public (GitHub)",
        "_org_roles": {
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          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-17",
        "last_seen": "2026-09-17",
        "method": "refinery",
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        "source_urls": [
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          "https://github.com/Yingjia-Wan/GAPA",
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      },
      "quality": {
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        "flags": [
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        "grade": "B",
        "hosts": 3,
        "independent_hosts": 3,
        "sources": 4,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://github.com/Yingjia-Wan/GAPA"
    },
    {
      "fields": {
        "access_gated": false,
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        "episodes": 73,
        "has_force": true,
        "hours": null,
        "license": null,
        "license_family": "unknown",
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        "modalities": [
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          "imu"
        ],
        "name": "GIFT glove demonstration corpus (cup grasp-and-hold)",
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        "org": "Tzah Sarusi",
        "orgs": [
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        ],
        "redistribution": null,
        "url": "https://tzahsarusi.github.io"
      },
      "id": "dataset:gift-glove-demonstration-corpus-cup-grasp-and-hold",
      "name": "GIFT glove demonstration corpus (cup grasp-and-hold)",
      "notes": {
        "_license_note": "no licence stated in source",
        "_modalities_unmapped": [
          "5 flex channels",
          "egocentric head camera"
        ],
        "_org_roles": {
          "Tzah Sarusi": [
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          ]
        }
      },
      "provenance": {
        "consent_license": "public",
        "first_seen": "2026-09-21",
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        "method": "paper-read",
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        ],
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        "sources": 2,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://tzahsarusi.github.io"
    },
    {
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        "commercial_use": false,
        "has_force": true,
        "hours": 100,
        "license": "not released as of 2026-09-19",
        "license_family": "unreleased",
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        "modalities": [
          "rgb",
          "tactile"
        ],
        "name": "HumanTouch (DexTouch-WM human interaction corpus)",
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          "Tsinghua",
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        ],
        "orgs": [
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          "HKU"
        ],
        "redistribution": false,
        "tasks": 50,
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      "id": "dataset:humantouch-dextouch-wm-human-interaction-corpus",
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      "notes": {
        "_modalities_unmapped": [
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          "Vive 6-DoF wrist pose"
        ],
        "_org_roles": {
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          ],
          "HKUST": [
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          "PKU": [
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          "Tsinghua": [
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          "Xspark AI": [
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        }
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        "independent_hosts": 2,
        "sources": 3,
        "stale": false,
        "stale_after_days": 365
      },
      "type": "dataset",
      "url": "https://arxiv.org/abs/2609.20649"
    },
    {
      "fields": {
        "commercial_use": true,
        "episodes": 5800,
        "license": "OTS (5.8K thermographic images for predictive maintenance)",
        "license_family": "ots",
        "license_spdx": null,
        "modalities": [
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        ],
        "name": "Industrial Electric Motor Thermography",
        "org": "BLOMEGA",
        "orgs": [
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        "redistribution": null,
        "url": "https://blomega.com/explore-ots-datasets"
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        "_org_roles": {
          "BLOMEGA": [
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        }
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        "source_urls": [
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      "type": "dataset",
      "url": "https://blomega.com/explore-ots-datasets"
    },
    {
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        "modalities": [
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        "name": "LESS released selections (less_data)",
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