Browse the handbook
Attribution

Dataset attribution

Upstream credits, CC BY 4.0 notices, source variants, and redistribution information for Iris and Wine.

Aner bundles the following UCI Machine Learning Repository teaching datasets, including copies embedded in its executable. Their data licenses are separate from the license of Aner's own software. Retain these notices, the associated dataset metadata, and the included license text when redistributing the bundled data or binaries containing it.

Iris

Fisher, R. (1936). Iris [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C56C76.

  • Dataset and license declaration: official UCI Iris page.
  • License: Creative Commons Attribution 4.0 International (CC BY 4.0).
  • Original archive: UCI Iris download, retrieved October 10, 2026.
  • Preserved credits: R. A. Fisher; Michael Marshall as donor, as recorded in iris.names.
  • Selected variant: original iris.data, SHA-256 6f608b71a7317216319b4d27b4d9bc84e6abd734eda7872b71a458569e2656c0.
  • Changes: source files are unmodified. Aner parses features as Float64 and maps Iris-setosa, Iris-versicolor, and Iris-virginica to class indices 0, 1, and 2. Original observations and row order are preserved. UCI's documented corrections for records 35 and 38 are not applied; the supplied alternate bezdekIris.data is retained for comparison only. Details: Iris provenance.

Wine

Aeberhard, S. & Forina, M. (1992). Wine [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5PC7J.

  • Dataset and license declaration: official UCI Wine page.
  • License: Creative Commons Attribution 4.0 International (CC BY 4.0).
  • Original archive: UCI Wine download, retrieved October 10, 2026.
  • Preserved source credits: Forina and colleagues/PARVUS, Stefan Aeberhard, and Riccardo Leardi for attribute information, as recorded in wine.names.
  • Selected variant: original wine.data, SHA-256 6be6b1203f3d51df0b553a70e57b8a723cd405683958204f96d23d7cd6aea659.
  • Changes: source files are unmodified. Aner parses features as Float64 and maps source class codes 1, 2, and 3 to indices 0, 1, and 2, displayed as class_1, class_2, and class_3. Original observations and row order are preserved. Measurement units and cultivar names are not supplied and are not inferred. Details: Wine provenance.

License and redistribution information

The complete official CC BY 4.0 legal text, including its disclaimer of warranties and liability, is included without alteration. UCI's dataset pages identify this license for both datasets. The supplied archive notices are preserved; no new copyright holder claim is invented where an upstream file supplies none.

Credit the dataset creators and source, retain supplied notices and license links, and identify changes when sharing copies or derived versions. The license does not imply endorsement by the creators, UCI, or Creative Commons. Future preprocessing, corrected variants, or redistributed subsets should retain this provenance and describe their additional changes.

Hashes and complete feature/label metadata are recorded in datasets/manifest.json. Raw data and license downloads are pinned locally; Aner's build and runtime do not fetch these datasets from the internet.

Aner handbook · Guides and API reference