{
  "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."
}