{
 "id": "avewright/tabula-pretraining-corpus",
 "owner": "avewright",
 "name": "tabula-pretraining-corpus",
 "downloads": 550,
 "likes": 0,
 "last_modified": "2026-03-13T18:17:49.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-classification",
  "tabular-regression"
 ],
 "citation": "@inproceedings{hollmann2023tabpfn,\n  title     = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},\n  author    = {Hollmann, Noah and M{\\\"u}ller, Samuel and Eggensperger, Katharina and Hutter, Frank},\n  booktitle = {ICLR},\n  year      = {2023}\n}\n@article{vanschoren2014openml,\n  title   = {OpenML: Networked Science in Machine Learning},\n  author  = {Vanschoren, Joaquin and van Rijn, Jan N. and Bischl, Bernd and Torgo, Luis},\n  journal = {ACM SIGKDD Explorations},\n  year    = {2014}\n}\n@article{Olson2017PMLB,\n  title   = {PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison},\n  author  = {Olson, Randal S. and La Cava, William and Orzechowski, Patryk and Urbanowicz, Ryan J. and Moore, Jason H.},\n  journal = {BioData Mining},\n  volume  = {10},\n  number  = {36},\n  year    = {2017}\n}\n@article{scholkopf2021causal,\n  title   = {Toward Causal Representation Learning},\n  author  = {Sch{\\\"o}lkopf, Bernhard and others},\n  journal = {Proceedings of the IEEE},\n  year    = {2021}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "aadd58a78e87258782d7004ffe51410eaca90800",
 "stated_evidence": "https://huggingface.co/datasets/avewright/tabula-pretraining-corpus/blob/aadd58a78e87258782d7004ffe51410eaca90800/README.md",
 "file_evidence": "https://huggingface.co/datasets/avewright/tabula-pretraining-corpus/tree/aadd58a78e87258782d7004ffe51410eaca90800",
 "card_nc": false
}