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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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