Datasets:

avewright
/

tabula-pretraining-corpus

humidity float64	temperature float64	disk_iops float64	latency_ms float64	fan_rpm float64	throughput_gbps float64	current float64	mem_pct float64	uptime_hours float64	pressure float64	voltage float64	vibration float64	packet_loss float64	error_rate float64	cpu_pct float64	iot_15 float64	iot_16 float64	iot_17 float64	iot_18 float64	iot_19 float64	iot_20 float64	iot_21 float64	iot_22 float64	iot_23 float64	iot_24 float64	iot_25 float64	iot_26 float64	iot_27 float64	iot_28 float64	iot_29 float64	iot_30 float64	target int64	_source_meta large_string	intensity float64	reaction_time float64	balance float64	cost_usd float64	purity float64	entropy float64	age float64	yield_pct float64	carrier_id float64	priority float64	fuel_consumption float64	wavelength float64	science_23 float64	pressure_pa float64	fragile float64	debt_ratio float64	loan_amount float64	margin float64	assets float64	science_20 float64	energy_kj float64	concentration float64	route_id float64	volume float64	logistics_17 float64	default float64	science_18 float64	weight_kg float64	logistics_15 float64	velocity float64	science_19 float64	income float64	interest_rate float64	warehouse_id float64	science_17 float64	customs_flag float64	load_factor float64	return_flag float64	science_22 float64	distance_km float64	temperature_k float64	science_16 float64	expenses float64	damage_rate float64	logistics_16 float64	acceleration float64	mass float64	ph float64	employment_years float64	transit_days float64	science_15 float64	credit_score float64	science_21 float64	tax_rate float64	on_time float64
-3.80279	0.901108	-1.8778	0.752253	1.990194	-2.190645	-0.10708	0.199168	-0.4981	-0.714841	-0.23812	-1.361938	0.689037	0.086882	-0.990393	-2.475527	0.547553	0.03255	-0.225107	-2.832945	-0.79415	null	-1.331335	-0.65812	-2.06333	0.231652	-0.18431	1.439368	-1.596769	-2.638624	2.000488	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-0.443997	3.047916	1.198897	2.031322	1.180133	-0.705083	-1.659365	0.07342	-1.160935	0.012223	1.381664	0.030425	1.416279	-1.426487	0.117985	0.446585	1.748801	0.650306	-1.718749	-2.379629	-0.205871	0.512832	0.091579	-1.339486	0.628657	-1.553142	1.432034	1.084727	-1.411921	-2.504181	1.763782	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-0.483893	-0.357166	1.542058	0.061119	0.883884	-1.29823	1.430205	0.68774	-0.990468	-0.390364	0.070808	-0.853381	-2.062117	0.340768	-1.492566	-0.906341	-0.277407	1.066571	-0.730552	-1.757721	-0.177411	-0.974857	-1.421376	0.104861	-0.95381	-1.869017	2.010168	1.22916	-2.76078	-2.501964	2.904209	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-0.777687	0.690546	-0.142652	0.497048	-0.948077	-2.12715	-0.168374	-1.675351	1.759308	0.127976	-0.027885	-0.843643	0.910842	-1.519178	-1.696881	-1.466174	2.376401	2.578057	0.742246	-2.005117	1.129313	1.082786	-2.631428	-1.309321	0.567755	-0.046917	1.785057	-0.548055	-0.670489	-1.246364	2.637422	1	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.188176	2.20963	3.3691	-0.317807	3.008065	-0.004094	0.183793	0.165648	-2.251089	-3.196136	0.86811	-0.142476	0.714878	-0.256875	0.132322	0.656148	1.181886	-0.11401	-1.006719	-2.042126	-0.012506	0.93413	-1.522189	0.007432	-0.779845	-0.843912	1.197843	-0.111818	-2.75532	-0.42268	0.718317	2	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
0.026078	1.417819	0.515451	-1.029814	1.203659	-2.401282	0.77729	-1.641674	0.679807	-1.112235	0.766882	-2.507454	-0.409133	0.483238	-0.213225	0.166048	1.397523	0.052092	-0.49205	-0.930348	1.24342	0.245842	-2.511357	null	-1.86034	-2.471471	2.467585	0.634323	-0.707062	-1.154853	1.083475	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
0.827298	0.363162	0.434028	0.309947	0.160571	-0.823317	-1.60113	-1.44654	2.072274	1.889479	2.027838	1.66572	-0.323525	-1.982454	-1.27657	-0.486148	0.076977	1.1548	0.663681	-2.645394	0.976612	-1.728934	-0.974858	-1.844164	-0.370091	-0.615588	0.786806	3.877121	-1.080862	-4.912442	1.736333	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.029347	2.253505	-0.392745	null	1.899035	-0.333919	0.620526	-1.002277	0.508648	-2.020643	-1.003372	-3.129633	-1.993139	-0.974303	-2.290433	-0.738082	2.208114	0.16161	0.79971	-2.879443	0.10734	1.198388	-2.552545	1.099516	-1.79102	-1.108758	3.051415	-1.126757	-0.721573	-0.830818	0.282419	1	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.880671	0.870998	0.414386	-1.132137	1.476602	-3.583583	0.877783	1.727386	1.222515	-0.896234	-0.182337	-0.958406	1.09385	-0.246753	-0.36636	0.803633	0.594498	-1.329965	-1.335069	-2.971859	0.227555	-0.940681	-1.46206	0.464147	-0.799909	-2.839609	1.319126	0.759148	-2.370231	-1.17606	1.547039	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.621739	-0.71505	0.719743	-0.932016	1.430722	-2.913283	-0.354105	-1.366992	2.11286	0.412468	1.688985	-0.319154	0.656816	-1.887462	-0.656333	-1.476313	1.335807	0.068854	0.896264	-2.946401	0.614505	0.533238	-1.109326	-1.168776	-1.143645	-0.133287	-0.299037	3.551797	-2.577	-3.509882	2.963332	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
0.483793	-0.466303	-0.728928	0.374001	0.975058	-0.843304	0.531381	-1.914433	0.507654	0.744152	1.735635	-1.452104	-2.521165	-0.101825	-2.333075	0.460465	-0.236361	0.391691	0.313666	-1.43707	0.253658	-0.222253	-0.812004	-1.059081	-0.807047	-0.63706	2.783456	1.822678	-2.389683	-1.686079	-0.116937	1	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-3.330529	-1.020718	1.23681	0.118935	2.12236	-1.993937	0.374737	-2.089599	0.690057	0.162716	1.582881	-1.808819	-0.014025	-0.971719	-0.611588	-0.630789	2.523995	1.640254	-0.392826	-1.191871	1.596877	1.564795	-0.361518	-0.6171	-0.673661	-1.553242	2.517239	1.236876	-1.015362	-1.661718	1.505172	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
0.135559	0.615825	-0.129592	1.775252	1.941331	-1.955221	-0.524845	-1.138479	-1.685471	1.899418	1.57496	0.258007	1.685611	-1.318043	1.170045	-2.45199	0.771672	2.429089	-1.718544	-1.459663	-0.880995	0.662463	-0.28542	-1.791086	-0.640832	-3.112184	4.017367	0.658359	-2.638303	-2.926179	1.57498	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-2.220831	1.872505	0.060828	0.927424	1.201055	-1.342829	0.662381	0.252149	0.57458	-0.820835	-0.592131	-3.337645	0.418877	-0.704812	-1.092424	-0.176942	1.502938	-0.572084	-1.2147	-3.090919	0.270472	0.236806	-1.55592	1.210691	0.394584	-1.218902	0.684602	-0.374743	-1.007857	-0.48217	1.751844	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
null	1.368012	3.591989	-1.25138	1.379652	-1.334802	-0.243524	1.788555	-0.209442	-1.315866	1.818334	0.479002	1.771791	-0.874606	-0.86135	-0.762354	1.164158	0.556703	-2.391392	-2.660979	0.671361	0.731167	-1.262353	0.062573	-0.980403	-1.300979	0.86893	1.147411	-1.600997	-2.508862	0.994913	2	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
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-1.089951	1.290123	2.471146	-0.723772	1.24874	-1.001506	-0.381779	0.909269	1.078865	-0.513844	0.422006	-0.919246	0.832802	0.697575	-1.909281	-0.546724	0.82074	1.19212	-2.163647	-2.750339	0.657732	0.423227	-0.393198	0.295015	-0.902231	-0.317298	-0.017062	1.025534	-1.876807	-0.420359	2.051344	1	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.811165	0.830254	0.881661	0.19854	1.772443	-2.215084	-0.221257	2.78739	-1.034971	1.042905	-0.336863	-0.595023	0.165865	0.144269	1.280323	0.012418	-0.046119	0.842548	-1.560026	-4.455462	0.67265	-0.065086	-2.709625	0.266607	-0.856772	-1.372743	2.129758	0.694271	-2.514161	-1.74611	3.228912	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
1.241066	-0.38992	0.650968	-0.722858	3.338296	-1.248602	-0.278793	-0.733119	-1.205525	-1.37223	-1.021649	-1.966872	0.502369	-0.962652	-0.471333	0.412537	1.645618	-0.111369	0.757456	-2.557301	2.088471	-0.06961	-0.973409	-0.147033	-0.05964	-1.840471	1.802963	0.589728	-1.439355	-0.224593	-0.537858	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.957593	1.150453	0.536488	0.900241	0.464478	-0.580081	-0.473883	-0.86622	-0.472838	0.826785	0.440857	-2.564198	0.888106	-0.766428	0.189954	0.224459	3.131432	0.630108	-3.151523	-2.337784	-0.312033	1.248318	-0.381951	-1.085464	0.088371	-2.86393	2.792617	null	-1.381425	-1.754631	2.013491	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.389829	-0.357124	3.247312	-1.208	2.374687	-1.316666	1.099438	-0.666647	-0.156283	-0.73349	1.066823	-2.298222	1.635861	-1.439564	2.284619	1.66736	-0.090202	-0.833658	0.928989	-2.653432	-0.051989	0.493264	0.375589	-0.836754	-2.413176	-1.432644	0.399137	2.186391	-4.103933	-2.580489	1.938216	2	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-0.885281	2.585531	-1.60559	1.683839	1.630201	1.147361	0.460588	-1.710311	-1.9698	-3.00691	0.286913	0.070294	0.110503	-0.788757	-2.501893	0.98565	0.939438	-0.21558	0.248245	-2.850169	-1.976059	0.323673	-1.27339	0.150752	0.159141	-0.952534	0.94342	0.036959	-4.145496	-0.644556	-0.675102	1	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
0.878006	2.058893	0.580338	-0.664692	2.678137	-0.845815	-1.15542	0.500875	3.866687	-0.9324	1.562976	-0.042812	0.314874	1.153664	-0.762424	-2.249172	1.280695	-1.013694	0.221784	-3.780544	0.705894	1.228029	-3.021919	0.545093	-0.023443	-0.825503	0.865553	1.350061	0.04562	-0.743618	-0.101457	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-1.034057	1.769317	1.852531	-1.404588	0.268945	-0.541677	-0.167407	-1.31876	0.537176	-0.890409	3.226348	1.392823	-0.497155	0.416869	-0.364999	-0.668847	0.705928	-1.307618	-0.331638	-3.328206	0.685485	1.756432	-2.041245	1.346147	-1.84835	-1.234689	1.917868	2.215199	-1.883332	-2.11319	1.807337	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
0.294164	1.277852	0.294641	-0.213425	1.91914	-1.876415	0.248183	-0.550104	-0.079556	-1.642146	0.990363	-0.769863	0.991548	0.529674	-1.010402	0.614861	1.759093	0.160271	-1.286406	-2.152781	1.137698	1.96829	-0.51609	-0.013765	-0.220586	-1.870244	2.654099	0.135307	-1.810462	-3.188857	1.358272	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-3.037131	0.823265	-1.176746	-1.212823	1.013068	-2.832963	0.153838	1.808414	-1.525507	-1.380333	-1.109944	-3.219516	1.626423	-1.709474	-0.079447	-1.009396	2.107527	0.437729	-0.49101	-2.486082	0.82953	0.216149	-1.013209	1.423832	-2.771102	-3.101266	2.081494	-0.724343	-1.868851	-1.857808	2.249457	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-0.103023	1.589911	2.83204	-1.541785	0.710316	-2.060237	0.234998	0.068795	1.411519	1.091002	2.124384	0.822234	1.446709	-1.362461	0.800324	0.525482	0.654591	0.876248	0.877641	-2.71638	0.436489	1.048248	-1.490922	-0.729836	-0.868942	-1.046366	2.680647	2.776049	-1.753691	-2.715484	0.815331	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-0.999564	1.821187	-0.753387	1.038262	1.476919	-0.956517	-0.388738	1.481359	-0.774337	1.305557	-1.032512	-0.709103	0.372527	-0.479735	-0.665228	-0.911667	0.936769	0.356094	-1.803908	-3.622437	-1.521934	0.019451	-0.417464	-0.429384	-0.708602	-1.359135	3.193406	1.820055	-0.747011	-3.112715	0.621086	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
1.83661	1.627202	-0.68811	-1.321202	-0.290301	-0.836728	-0.515464	0.392887	2.016925	1.141452	3.003574	-1.941791	-0.943397	-0.685022	-1.206512	-0.766217	-0.402622	-0.786111	0.79201	-2.524978	0.317741	1.237259	-0.173243	0.665737	-1.530002	-1.097317	2.665614	3.503576	-3.075845	-3.268668	0.876211	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-2.655158	1.495443	-0.094078	0.985856	0.334515	-0.333901	-0.317357	-0.502151	-1.076479	-0.384932	1.551526	0.206027	0.923866	-0.792463	-1.039078	-1.087615	1.676889	1.431181	-1.152997	-3.43468	-1.732656	2.555043	-2.020213	-1.04639	-0.984813	0.446153	1.884789	-0.58057	-2.50104	-2.15047	2.44413	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
-2.05561	1.267329	0.041873	-0.392917	1.848866	-1.175329	0.207239	-0.824941	-0.658319	-2.006412	3.148254	-0.830826	1.116593	0.429672	-1.319726	-0.499597	-0.040091	1.173101	-0.102637	-0.169697	0.019528	0.119424	-1.083204	1.439024	-3.100852	-0.914724	2.109636	1.821931	-2.4634	-1.120324	1.580621	0	{"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}	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null

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.

Stats (auto-updated)

Metric	Value
Total rows	5,453,091
Real-data batches	11
Synthetic batches	85
Last updated	2026-03-12 19:18 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_003	synthetic	SCM	synthetic:SCM	12	35500	success
datagen_006	synthetic	TreePrior	synthetic:TreePrior	7	15500	success
datagen_006	synthetic	TreePrior	synthetic:TreePrior	7	28000	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_009	synthetic	SCM	synthetic:SCM	10	32000	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:617_fri_c3_500_5
datagen_112	synthetic	Polynomial	synthetic:Polynomial	14	114000	success
datagen_112	synthetic	Polynomial	synthetic:Polynomial	13	204500	success
datagen_113	synthetic	Regression	synthetic:Regression	13	170500	success
datagen_114	real	real-ingest	pmlb:_deprecated_solar_flare_1	pmlb:_deprecated_prnn_fglass	pmlb:clean1	3
datagen_115	synthetic	TimeSeries	synthetic:TimeSeries	14	22500	success
datagen_116	synthetic	MixedType_TreePrior	synthetic:MixedType_TreePrior	3	4500	success
datagen_113	synthetic	Regression	synthetic:Regression	10	278000	success
datagen_117	real	real-ingest	pmlb:biomed	pmlb:_deprecated_prnn_fglass	pmlb:spectf	pmlb:695_chatfield_4
datagen_117	synthetic	MixedType_SCM	synthetic:MixedType_SCM	10	86500	success
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:soybean	pmlb:626_fri_c2_500_50
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	pmlb:schizo	pmlb:magic	pmlb:229_pwLinear
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-prediction-800k	hf:ronantakizawa/trending-stocks-yahoo-finance	2	54180
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:appendicitis	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_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM_2_001	pmlb:clean1	pmlb:analcatdata_germangss
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	pmlb:590_fri_c0_1000_50	pmlb:653_fri_c0_250_25
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:_deprecated_australian	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

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{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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