{
  "format": "learnai-component-reference-v1",
  "source": {
    "id": "uci-iris-bezdek-v1",
    "source": "https://archive.ics.uci.edu/dataset/53/iris",
    "archive": "https://archive.ics.uci.edu/static/public/53/iris.zip",
    "sourceFile": "bezdekIris.data",
    "doi": "https://doi.org/10.24432/C56C76",
    "attribution": "Fisher, R. (1936). Iris [Dataset]. UCI Machine Learning Repository.",
    "license": "CC BY 4.0",
    "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
    "retrieved": "2026-10-11",
    "rows": 150,
    "columns": 4,
    "units": "cm",
    "csvBytes": 5977,
    "csvSha256": "b34e5958ea7f7625f6a43c060b28d9848e6b810c5d09652b2335ef4619db9df8",
    "sourceBytes": 4551,
    "sourceSha256": "0fed2a99db77ec533a62dc66894d3ec6df3b58b6a8f3cf4a6b47e4086b7f97dc",
    "archiveSha256": "d11fe30213d36434a0879aab7cb00ce3c812eb7ba2495874438abff7b7b762e9",
    "changes": "Added a header and stable row IDs. Measurements and labels in bezdekIris.data are unchanged. Synthetic duplicates, missing petal lengths and mm units are generated only in the teaching view.",
    "privacy": "Plant measurements and species; no personal identifiers. Row IDs are generated, not specimen IDs.",
    "split": "Grouped split: identical original feature vectors form one group; per species, deterministic first-occurrence group order assigns every third group to development validation. Row split: every third teaching row to validation. No final test set; all results are repeated development evidence."
  },
  "recipe": {
    "protocol": "iris-virginica-fold-local-v1",
    "script_sha256": "cf2ce0ebadbb7e85c483cef29814730f4c53da5e2952a70e7da7a2195f3d15fc",
    "loader_sha256": "6f07a7e61db3fdcfe87180e18ff49e68dcd0f19ea602a215d287f4e0c3d22e30",
    "numpy": "2.3.5",
    "sklearn": "1.7.2",
    "scipy": "1.18.1",
    "python": "3.12.14"
  },
  "generatorSha256": "4fb345169542d033458109a4e9a15e3fd448bcc949cf8f86b471cb64709105c0",
  "bundleSha256": "1660c91a23b3854706a4fcf03bcbb7440da6e224de6415a25934083837e1be2a",
  "trainingIds": [
    "iris-003",
    "iris-004",
    "iris-005",
    "iris-008",
    "iris-009",
    "iris-010",
    "iris-013",
    "iris-014",
    "iris-015",
    "iris-018",
    "iris-019",
    "iris-020",
    "iris-023",
    "iris-024",
    "iris-025",
    "iris-028",
    "iris-029",
    "iris-030",
    "iris-033",
    "iris-034",
    "iris-035",
    "iris-038",
    "iris-039",
    "iris-040",
    "iris-043",
    "iris-044",
    "iris-045",
    "iris-048",
    "iris-049",
    "iris-050",
    "iris-053",
    "iris-054",
    "iris-055",
    "iris-058",
    "iris-059",
    "iris-060",
    "iris-063",
    "iris-064",
    "iris-065",
    "iris-068",
    "iris-069",
    "iris-070",
    "iris-073",
    "iris-074",
    "iris-075",
    "iris-078",
    "iris-079",
    "iris-080",
    "iris-083",
    "iris-084",
    "iris-085",
    "iris-088",
    "iris-089",
    "iris-090",
    "iris-093",
    "iris-094",
    "iris-095",
    "iris-098",
    "iris-099",
    "iris-100",
    "iris-103",
    "iris-104",
    "iris-105",
    "iris-108",
    "iris-109",
    "iris-110",
    "iris-113",
    "iris-114",
    "iris-115",
    "iris-118",
    "iris-119",
    "iris-120",
    "iris-123",
    "iris-124",
    "iris-125",
    "iris-128",
    "iris-129",
    "iris-130",
    "iris-133",
    "iris-134",
    "iris-135",
    "iris-138",
    "iris-139",
    "iris-140",
    "iris-144",
    "iris-145",
    "iris-146",
    "iris-149",
    "iris-150"
  ],
  "purpose": "Inference parity only. Public Iris examples are not a new independent accuracy evaluation. Training groups are measurement groups, not verified specimen identities.",
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