Validation catalogs, dataset containers, loaders, registry metadata, and dataset meta-feature helpers.
Package source: tabnetics.datasets
Package overview
Dataset registry, catalogs, loaders, and meta-features for validation-catalog and benchmark runs; when the HuggingFace bundle is configured, it acts as the authoritative operational mirror of the public upstream validation data sources.
Related modules
tabnetics.datasets.loaders- Source. Dataset loader exports.tabnetics.datasets.meta_features- Source. Dataset meta-feature extraction helpers.tabnetics.datasets.registry- Source. DatasetSpec registry (single source of truth for validation + benchmark datasets).tabnetics.datasets.validation_catalog- Source. Validation catalog and dataset-set definitions.
Module details
tabnetics.datasets.__init__
Dataset registry, catalogs, loaders, and meta-features for validation-catalog and benchmark runs; when the HuggingFace bundle is configured, it acts as the authoritative operational mirror of the public upstream validation data sources.
No top-level public symbols are exported directly from this module.
Documentation and webpages on this site are generated from authoritative internal sources using a combination of deterministic rules and generative AI. Errors are possible. Please report issues via GitHub Discussions or email [email protected].