{
  "aliases": [],
  "authors": [],
  "details": {
    "dataset_profile": {
      "counts": [
        {
          "basis": "reported",
          "evidence_url": "https://huggingface.co/datasets/xlangai/AgentNet/raw/main/README.md",
          "population": "AgentNet collection",
          "qualifier": "approximately",
          "unit": "tasks",
          "value": 22600
        }
      ],
      "evidence_urls": [
        "https://huggingface.co/datasets/xlangai/AgentNet/raw/main/README.md"
      ],
      "formats": [
        "JSONL",
        "image archives"
      ],
      "modalities": [
        "screenshots",
        "instructions",
        "actions",
        "generated reasoning"
      ],
      "notes": "The card distinguishes human task instructions from generated summaries, reasoning, reflections, and quality fields. Generated labels are not independent human quality acceptance records.",
      "splits": [],
      "supervision": [
        "computer-use trajectories",
        "synthesized reasoning"
      ]
    },
    "disabled": false,
    "download_url": "https://huggingface.co/datasets/xlangai/AgentNet/tree/main",
    "gated": false,
    "hub_id": "xlangai/AgentNet",
    "languages": [
      "en"
    ],
    "modalities": [],
    "size_category_reported": null
  },
  "environments": [
    "desktop"
  ],
  "evidence": [
    {
      "method": "editorial_primary_review",
      "retrieved_at": "2026-10-16T06:38:26Z",
      "role": "primary",
      "sha256": "f23c588ea9fb27210f9d605e164a32527a24298ca516df98272ff7ca7110eac6",
      "supports": [
        "name",
        "kind",
        "summary",
        "environments",
        "topics",
        "scope",
        "relations"
      ],
      "url": "https://huggingface.co/api/datasets/xlangai/AgentNet"
    },
    {
      "method": "editorial_primary_review",
      "retrieved_at": "2026-10-16T11:40:46Z",
      "role": "primary",
      "sha256": "327a77856df259db0a0c2405478f75a0d0f2bf17c51806abc7c509ad82c3ad57",
      "supports": [
        "details.dataset_profile"
      ],
      "url": "https://huggingface.co/datasets/xlangai/AgentNet/raw/main/README.md"
    },
    {
      "method": "huggingface_api",
      "retrieved_at": "2026-10-16T06:38:26Z",
      "role": "primary",
      "sha256": "f23c588ea9fb27210f9d605e164a32527a24298ca516df98272ff7ca7110eac6",
      "supports": [
        "details",
        "licenses.data"
      ],
      "url": "https://huggingface.co/api/datasets/xlangai/AgentNet"
    }
  ],
  "id": "url:964d70c40bfc5ca8e1ee",
  "identifiers": {},
  "kind": "dataset",
  "last_verified_at": "2026-10-16T06:38:26Z",
  "licenses": {
    "code": null,
    "data": {
      "basis": "publisher model/dataset card",
      "declared": "mit",
      "retrieved_at": "2026-10-16T06:38:26Z",
      "url": "https://huggingface.co/datasets/xlangai/AgentNet"
    },
    "document": null,
    "weights": null
  },
  "links": [
    {
      "rel": "primary",
      "url": "https://huggingface.co/datasets/xlangai/AgentNet"
    }
  ],
  "name": "AgentNet",
  "notes": "",
  "published_at": null,
  "relations": [
    {
      "evidence_url": "https://huggingface.co/api/datasets/xlangai/AgentNet",
      "target_id": "arxiv:2508.09123",
      "type": "documented_by"
    }
  ],
  "review_status": "curated",
  "scope": "core",
  "summary": "22.6K human-annotated desktop computer-use tasks on Windows, macOS and Ubuntu, released with OpenCUA for training and evaluating vision-language-action models.",
  "topics": [
    "data-generation"
  ],
  "updated_at": null,
  "url": "https://huggingface.co/datasets/xlangai/AgentNet"
}