{
  "aliases": [],
  "authors": [],
  "details": {
    "availability": "announced; data and sampling pipelines in preparation",
    "dataset_profile": {
      "counts": [
        {
          "basis": "reported",
          "evidence_url": "https://raw.githubusercontent.com/AlibabaResearch/RoTS/HEAD/README.md",
          "population": "paper-described synthesis output; not a released file inventory",
          "qualifier": "approximately",
          "unit": "training samples",
          "value": 800000
        }
      ],
      "evidence_urls": [
        "https://raw.githubusercontent.com/AlibabaResearch/RoTS/HEAD/README.md"
      ],
      "formats": [],
      "modalities": [
        "GUI interaction trajectories"
      ],
      "notes": "The inspected README marks the dataset and collection pipelines as in preparation. This profile records an announced research asset, not a verified downloadable corpus; file formats, splits, and release-specific data terms remain unknown.",
      "splits": [],
      "supervision": [
        "recovery trajectory synthesis"
      ]
    }
  },
  "environments": [
    "cross-platform"
  ],
  "evidence": [
    {
      "method": "editorial_primary_review",
      "retrieved_at": "2026-10-16T06:36:02Z",
      "role": "primary",
      "sha256": "bf5c1469d33ced951ff0a5de017494b65f654023ceee8e7fbfd8b60afb082244",
      "supports": [
        "name",
        "kind",
        "summary",
        "environments",
        "topics",
        "scope",
        "relations",
        "details"
      ],
      "url": "https://raw.githubusercontent.com/AlibabaResearch/RoTS/HEAD/README.md"
    },
    {
      "method": "editorial_primary_review",
      "retrieved_at": "2026-10-16T06:36:02Z",
      "role": "primary",
      "sha256": "bf5c1469d33ced951ff0a5de017494b65f654023ceee8e7fbfd8b60afb082244",
      "supports": [
        "details.dataset_profile"
      ],
      "url": "https://raw.githubusercontent.com/AlibabaResearch/RoTS/HEAD/README.md"
    },
    {
      "method": "editorial_primary_review",
      "retrieved_at": "2026-10-16T06:36:02Z",
      "role": "primary",
      "sha256": "bf5c1469d33ced951ff0a5de017494b65f654023ceee8e7fbfd8b60afb082244",
      "supports": [
        "summary",
        "notes",
        "details.availability"
      ],
      "url": "https://raw.githubusercontent.com/AlibabaResearch/RoTS/HEAD/README.md"
    }
  ],
  "id": "github:alibabaresearch/rots",
  "identifiers": {},
  "kind": "dataset",
  "last_verified_at": "2026-10-16T06:36:02Z",
  "licenses": {
    "code": null,
    "data": null,
    "document": null,
    "weights": null
  },
  "links": [
    {
      "rel": "primary",
      "url": "https://github.com/AlibabaResearch/RoTS"
    }
  ],
  "name": "RoTS",
  "notes": "The 800k figure describes training samples in the study, not an independently counted public download. The repository code-license declaration does not establish terms for an unreleased dataset.",
  "published_at": null,
  "relations": [],
  "review_status": "curated",
  "scope": "core",
  "summary": "Announced GUI trajectory synthesis resources for recovery from policy-induced errors; the inspected repository marks code and data releases as in preparation.",
  "topics": [
    "data-generation",
    "robustness"
  ],
  "updated_at": null,
  "url": "https://github.com/AlibabaResearch/RoTS"
}
