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humidity
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{"batch_id": "datagen_001", "source_type": "synthetic", "source_id": "synthetic:TreePrior", "domain": "iot", "task_type": "multiclass", "license": "Apache-2.0", "citation_key": "hollmann2023tabpfn", "generator": "TreePrior", "n_samples": 1000, "n_features": 31, "dataset_idx": 3, "seed": 1041436474, "missingness_rate": 0.011541779337114576, "utility_auc": 0.9836996006159691}
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{"batch_id": "datagen_001", "source_type": "synthetic", "source_id": "synthetic:TreePrior", "domain": "iot", "task_type": "multiclass", "license": "Apache-2.0", "citation_key": "hollmann2023tabpfn", "generator": "TreePrior", "n_samples": 1000, "n_features": 31, "dataset_idx": 3, "seed": 1041436474, "missingness_rate": 0.011541779337114576, "utility_auc": 0.9836996006159691}
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{"batch_id": "datagen_001", "source_type": "synthetic", "source_id": "synthetic:TreePrior", "domain": "iot", "task_type": "multiclass", "license": "Apache-2.0", "citation_key": "hollmann2023tabpfn", "generator": "TreePrior", "n_samples": 1000, "n_features": 31, "dataset_idx": 3, "seed": 1041436474, "missingness_rate": 0.011541779337114576, "utility_auc": 0.9836996006159691}
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1.83661
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{"batch_id": "datagen_001", "source_type": "synthetic", "source_id": "synthetic:TreePrior", "domain": "iot", "task_type": "multiclass", "license": "Apache-2.0", "citation_key": "hollmann2023tabpfn", "generator": "TreePrior", "n_samples": 1000, "n_features": 31, "dataset_idx": 3, "seed": 1041436474, "missingness_rate": 0.011541779337114576, "utility_auc": 0.9836996006159691}
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{"batch_id": "datagen_001", "source_type": "synthetic", "source_id": "synthetic:TreePrior", "domain": "iot", "task_type": "multiclass", "license": "Apache-2.0", "citation_key": "hollmann2023tabpfn", "generator": "TreePrior", "n_samples": 1000, "n_features": 31, "dataset_idx": 3, "seed": 1041436474, "missingness_rate": 0.011541779337114576, "utility_auc": 0.9836996006159691}
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-2.05561
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{"batch_id": "datagen_001", "source_type": "synthetic", "source_id": "synthetic:TreePrior", "domain": "iot", "task_type": "multiclass", "license": "Apache-2.0", "citation_key": "hollmann2023tabpfn", "generator": "TreePrior", "n_samples": 1000, "n_features": 31, "dataset_idx": 3, "seed": 1041436474, "missingness_rate": 0.011541779337114576, "utility_auc": 0.9836996006159691}
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End of preview. Expand in Data Studio

Tabula Pretraining Corpus

A continuously growing tabular pretraining corpus for the Tabula foundation model (tabPFN-style in-context learning). Built by an autonomous agent that alternates between harvesting permissively-licensed real datasets and generating high-quality synthetic ones.

Usage

from datasets import load_dataset

# Load a specific batch config
ds = load_dataset("avewright/tabula-pretraining-corpus", name="datagen_001")

# Load all configs
from huggingface_hub import HfApi
api = HfApi()
# List available configs by checking repo folders

Each config represents a batch with its own column schema (different domains have different feature names). Load configs individually rather than all at once.

Stats (auto-updated)

Metric Value
Total rows 7,014,523
Real-data batches 14
Synthetic batches 94
Last updated 2026-03-13 18:17 UTC

Schema

Every row has feature columns plus _source_meta (JSON string):

  • batch_id, source_type, source_id, domain, task_type, license, citation_key

Sources & Citations

batch_id source_type method source_id n_datasets total_rows status
datagen_001 synthetic TreePrior synthetic:TreePrior 4 3500 success
datagen_002 synthetic TreePrior synthetic:TreePrior 6 17000 success
datagen_003 synthetic SCM synthetic:SCM 14 47000 success
datagen_004 synthetic TreePrior synthetic:TreePrior 5 17000 success
datagen_005 synthetic SCM synthetic:SCM 11 33000 success
datagen_006 synthetic TreePrior synthetic:TreePrior 7 15500 success
datagen_007 synthetic SCM synthetic:SCM 12 62500 success
datagen_008 synthetic TreePrior synthetic:TreePrior 5 17500 success
datagen_009 synthetic TreePrior synthetic:TreePrior 5 8500 success
datagen_010 synthetic TreePrior synthetic:TreePrior 8 15500 success
datagen_011 synthetic SCM synthetic:SCM 13 56500 success
datagen_012 synthetic GaussianMixture synthetic:GaussianMixture 10 33500 success
datagen_013 synthetic Polynomial synthetic:Polynomial 14 39000 success
datagen_014 synthetic Regression synthetic:Regression 13 61500 success
datagen_078 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 5 6500 success
datagen_079 synthetic MixedType_SCM synthetic:MixedType_SCM 12 55000 success
datagen_080 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 11 47000 success
datagen_081 synthetic TreePrior synthetic:TreePrior 6 23500 success
datagen_082 synthetic SCM synthetic:SCM 15 46000 success
datagen_083 synthetic GaussianMixture synthetic:GaussianMixture 10 41000 success
datagen_084 synthetic Polynomial synthetic:Polynomial 15 95500 success
datagen_085 synthetic Regression synthetic:Regression 15 57500 success
datagen_086 synthetic TimeSeries synthetic:TimeSeries 12 19500 success
datagen_087 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 4 4000 success
datagen_088 synthetic MixedType_SCM synthetic:MixedType_SCM 13 46500 success
datagen_089 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 12 38000 success
datagen_090 synthetic TreePrior synthetic:TreePrior 4 31000 success
datagen_091 synthetic SCM synthetic:SCM 15 63000 success
datagen_092 synthetic GaussianMixture synthetic:GaussianMixture 8 34000 success
datagen_093 synthetic Polynomial synthetic:Polynomial 10 23000 success
datagen_094 synthetic Regression synthetic:Regression 14 74000 success
datagen_095 synthetic TimeSeries synthetic:TimeSeries 14 19500 success
datagen_096 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 8 25000 success
datagen_097 synthetic MixedType_SCM synthetic:MixedType_SCM 14 43500 success
datagen_098 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 12 43000 success
datagen_099 synthetic TreePrior synthetic:TreePrior 6 14500 success
datagen_100 synthetic SCM synthetic:SCM 12 62500 success
datagen_101 synthetic GaussianMixture synthetic:GaussianMixture 13 65500 success
datagen_102 synthetic Polynomial synthetic:Polynomial 13 53000 success
datagen_103 synthetic Regression synthetic:Regression 15 56500 success
datagen_104 synthetic TimeSeries synthetic:TimeSeries 11 16500 success
datagen_105 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 3 7500 success
datagen_106 synthetic MixedType_SCM synthetic:MixedType_SCM 14 71000 success
datagen_107 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 9 34000 success
datagen_108 synthetic TreePrior synthetic:TreePrior 4 12500 success
datagen_109 synthetic SCM synthetic:SCM 11 37000 success
datagen_110 synthetic GaussianMixture synthetic:GaussianMixture 11 56500 success
datagen_111 real real-ingest pmlb:522_pm10 pmlb:spambase pmlb:573_cpu_act pmlb:
datagen_112 synthetic Polynomial synthetic:Polynomial 14 114000 success
datagen_113 synthetic Regression synthetic:Regression 13 170500 success
datagen_114 real real-ingest pmlb:_deprecated_solar_flare_1 pmlb:_deprecated_pr 3 996
datagen_115 synthetic TimeSeries synthetic:TimeSeries 14 22500 success
datagen_116 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 3 4500 success
datagen_117 real real-ingest pmlb:biomed pmlb:_deprecated_prnn_fglass pmlb:spec 4
datagen_118 synthetic TimeSeries synthetic:TimeSeries 12 14500 success
datagen_119 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 1 500 success
datagen_120 real real-ingest pmlb:balance_scale pmlb:583_fri_c1_1000_50 pmlb:so 5
datagen_121 synthetic MixedType_SCM synthetic:MixedType_SCM 14 198000 success
datagen_122 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 12 61500 success
datagen_123 synthetic TreePrior synthetic:TreePrior 7 64500 success
datagen_124 real real-ingest pmlb:GAMETES_Epistasis_3_Way_20atts_0.2H_EDM_1_1 p 4 21160
datagen_125 synthetic SCM synthetic:SCM 14 90500 success
datagen_126 synthetic GaussianMixture synthetic:GaussianMixture 13 127000 success
datagen_127 synthetic Polynomial synthetic:Polynomial 11 70000 success
datagen_129 real real-ingest hf:BrotherTony/employee-burnout-turnover-predictio 2 54180 success
datagen_130 synthetic Regression synthetic:Regression 14 162500 success
datagen_131 synthetic TimeSeries synthetic:TimeSeries 12 19500 success
datagen_132 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 8 19000 success
datagen_133 real real-ingest pmlb:628_fri_c3_1000_5 pmlb:560_bodyfat pmlb:appen 3
datagen_134 synthetic MixedType_SCM synthetic:MixedType_SCM 10 116500 success
datagen_135 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 13 183500 success
datagen_136 synthetic TreePrior synthetic:TreePrior 4 111000 success
datagen_137 real real-ingest pmlb:_deprecated_cleveland pmlb:GAMETES_Heterogene 5 3128
datagen_138 synthetic SCM synthetic:SCM 12 85000 success
datagen_139 synthetic GaussianMixture synthetic:GaussianMixture 14 131000 success
datagen_140 synthetic Polynomial synthetic:Polynomial 12 152500 success
datagen_143 synthetic Regression synthetic:Regression 15 126500 success
datagen_144 synthetic TimeSeries synthetic:TimeSeries 11 19500 success
datagen_145 real real-ingest pmlb:auto_insurance_symboling pmlb:breast_cancer p 5
datagen_146 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 4 24000 success
datagen_147 synthetic MixedType_SCM synthetic:MixedType_SCM 10 140000 success
datagen_148 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 10 168000 success
datagen_149 real real-ingest pmlb:strogatz_predprey2 pmlb:vehicle pmlb:_depreca 3
datagen_150 synthetic TreePrior synthetic:TreePrior 6 20500 success
datagen_151 synthetic SCM synthetic:SCM 13 195000 success
datagen_152 synthetic GaussianMixture synthetic:GaussianMixture 9 131000 success
datagen_154 synthetic Polynomial synthetic:Polynomial 10 69000 success
datagen_156 synthetic Regression synthetic:Regression 15 96500 success
datagen_158 synthetic TimeSeries synthetic:TimeSeries 14 19500 success
datagen_159 real real-ingest openml:14 openml:44 2 6601
datagen_160 synthetic MixedType_TreePrior synthetic:MixedType_TreePrior 6 116500 success
datagen_163 synthetic MixedType_SCM synthetic:MixedType_SCM 15 190000 success
datagen_164 synthetic MixedType_GaussianMixture synthetic:MixedType_GaussianMixture 9 82500 success
datagen_165 real real-ingest pmlb:_deprecated_wdbc pmlb:631_fri_c1_500_5 pmlb:3 5
datagen_166 synthetic TreePrior synthetic:TreePrior 7 43000 success
datagen_167 synthetic SCM synthetic:SCM 11 91500 success
datagen_168 synthetic GaussianMixture synthetic:GaussianMixture 13 223500 success
datagen_169 real real-ingest pmlb:heart_disease_cleveland pmlb:1193_BNG_lowbwt 3
datagen_170 synthetic Polynomial synthetic:Polynomial 15 206500 success
datagen_172 synthetic TreePrior synthetic:TreePrior 9 245000 success
datagen_173 synthetic SCM synthetic:SCM 13 277000 success
datagen_174 real real-ingest openml:48 openml:9 openml:29 3

Key Citations

@inproceedings{hollmann2023tabpfn,
  title     = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
  author    = {Hollmann, Noah and M{\"u}ller, Samuel and Eggensperger, Katharina and Hutter, Frank},
  booktitle = {ICLR},
  year      = {2023}
}
@article{vanschoren2014openml,
  title   = {OpenML: Networked Science in Machine Learning},
  author  = {Vanschoren, Joaquin and van Rijn, Jan N. and Bischl, Bernd and Torgo, Luis},
  journal = {ACM SIGKDD Explorations},
  year    = {2014}
}
@article{Olson2017PMLB,
  title   = {PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison},
  author  = {Olson, Randal S. and La Cava, William and Orzechowski, Patryk and Urbanowicz, Ryan J. and Moore, Jason H.},
  journal = {BioData Mining},
  volume  = {10},
  number  = {36},
  year    = {2017}
}
@article{scholkopf2021causal,
  title   = {Toward Causal Representation Learning},
  author  = {Sch{\"o}lkopf, Bernhard and others},
  journal = {Proceedings of the IEEE},
  year    = {2021}
}

License

Individual rows carry their own license field inside _source_meta. Synthetic rows are Apache 2.0. Real rows carry the original source license.

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