Upload 8 files

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+tabzilla_metadata/metadataset_clean.csv filter=lfs diff=lfs merge=lfs -text

datasets_used/tabz_table1_datasets.csv

@@ -0,0 +1,99 @@
+dataset_name,Classes,Features,Samples,Type
+openml__lung-cancer__146024,3,56,32,Classification
+openml__labor__4,2,16,57,Classification
+openml__postoperative-patient-data__146210,2,8,88,Classification
+openml__analcatdata_chlamydia__3739,2,3,100,Classification
+openml__fertility__9984,2,9,100,Classification
+openml__fri_c0_100_5__3620,2,5,100,Classification
+openml__fri_c3_100_5__3779,2,5,100,Classification
+openml__visualizing_environmental__3602,2,3,111,Classification
+openml__acute-inflammations__10089,2,6,120,Classification
+openml__analcatdata_boxing1__3540,2,3,120,Classification
+openml__rabe_266__3647,2,2,120,Classification
+openml__visualizing_livestock__3731,2,2,130,Classification
+openml__transplant__3748,2,3,131,Classification
+openml__lymph__10,4,18,148,Classification
+openml__iris__59,3,4,150,Classification
+openml__tae__47,3,5,151,Classification
+openml__hayes-roth__146063,3,4,160,Classification
+openml__autos__9,6,25,205,Classification
+openml__sonar__39,2,60,208,Classification
+openml__glass__40,6,9,214,Classification
+openml__breast-cancer__145799,2,9,286,Classification
+openml__heart-h__50,2,13,294,Classification
+openml__heart-c__48,2,13,303,Classification
+openml__ecoli__145977,8,7,336,Classification
+openml__ionosphere__145984,2,34,351,Classification
+openml__libras__360948,10,104,360,Classification
+openml__dermatology__35,6,34,366,Classification
+openml__colic__25,2,26,368,Classification
+openml__colic__27,2,22,368,Classification
+openml__dresses-sales__125920,2,12,500,Classification
+openml__irish__3543,2,5,500,Classification
+openml__LED-display-domain-7digit__125921,10,7,500,Classification
+openml__kc2__3913,2,21,522,Classification
+openml__cylinder-bands__14954,2,37,540,Classification
+openml__wdbc__9946,2,30,569,Classification
+openml__ilpd__9971,2,10,583,Classification
+openml__synthetic_control__3512,6,60,600,Classification
+openml__monks-problems-2__146065,2,6,601,Classification
+openml__balance-scale__11,3,4,625,Classification
+openml__profb__3561,2,9,672,Classification
+openml__Australian__146818,2,14,690,Classification
+openml__credit-approval__29,2,15,690,Classification
+openml__breast-w__15,2,9,699,Classification
+openml__eucalyptus__2079,5,19,736,Classification
+openml__blood-transfusion-service-center__10101,2,4,748,Classification
+openml__diabetes__37,2,8,768,Classification
+openml__analcatdata_dmft__3560,6,4,797,Classification
+openml__analcatdata_authorship__3549,4,70,841,Classification
+openml__vehicle__53,4,18,846,Classification
+openml__anneal__2867,5,38,898,Classification
+openml__tic-tac-toe__49,2,9,958,Classification
+openml__qsar-biodeg__9957,2,41,1055,Classification
+openml__MiceProtein__146800,8,77,1080,Classification
+openml__pc1__3918,2,21,1109,Classification
+openml__socmob__3797,2,5,1156,Classification
+openml__hill-valley__145847,2,100,1212,Classification
+openml__yeast__145793,4,8,1269,Classification
+openml__banknote-authentication__10093,2,4,1372,Classification
+openml__pc4__3902,2,37,1458,Classification
+openml__cmc__23,3,9,1473,Classification
+openml__pc3__3903,2,37,1563,Classification
+openml__semeion__9964,10,256,1593,Classification
+openml__car__146821,4,6,1728,Classification
+openml__car-evaluation__146192,4,21,1728,Classification
+openml__steel-plates-fault__146817,7,27,1941,Classification
+openml__mfeat-factors__12,10,216,2000,Classification
+openml__mfeat-fourier__14,10,76,2000,Classification
+openml__mfeat-karhunen__16,10,64,2000,Classification
+openml__mfeat-morphological__18,10,6,2000,Classification
+openml__mfeat-zernike__22,10,47,2000,Classification
+openml__kc1__3917,2,21,2109,Classification
+openml__cardiotocography__9979,10,35,2126,Classification
+openml__scene__3485,2,299,2407,Classification
+openml__ozone-level-8hr__9978,2,72,2534,Classification
+openml__cjs__14967,6,33,2796,Classification
+openml__jasmine__168911,2,144,2984,Classification
+openml__dna__167140,3,180,3186,Classification
+openml__splice__45,3,60,3190,Classification
+openml__kr-vs-kp__3,2,36,3196,Classification
+openml__sick__3021,2,28,3772,Classification
+openml__ada_agnostic__3896,2,48,4562,Classification
+openml__spambase__43,2,57,4601,Classification
+openml__wilt__146820,2,5,4839,Classification
+openml__churn__167141,2,20,5000,Classification
+openml__Satellite__167211,2,36,5100,Classification
+openml__phoneme__9952,2,5,5404,Classification
+openml__wall-robot-navigation__9960,4,24,5456,Classification
+openml__page-blocks__30,5,10,5473,Classification
+openml__satimage__2074,6,36,6430,Classification
+openml__musk__3950,2,167,6598,Classification
+openml__mushroom__24,2,22,8124,Classification
+openml__SpeedDating__146607,2,120,8378,Classification
+openml__jm1__3904,2,21,10885,Classification
+openml__PhishingWebsites__14952,2,30,11055,Classification
+openml__elevators__3711,2,18,16599,Classification
+openml__adult-census__3953,2,14,32561,Classification
+openml__Click_prediction_small__190408,2,11,39948,Classification
+openml__bank-marketing__14965,2,16,45211,Classification

datasets_used/tt_hard_datasets.csv

@@ -0,0 +1,30 @@
+dataset_name,Classes,Features,Samples
+openml__breast-cancer__145799,2,9,286
+openml__heart-c__48,2,13,303
+openml__ecoli__145977,8,7,336
+openml__colic__27,2,22,368
+openml__dresses-sales__125920,2,12,500
+openml__climate-model-simulation-crashes__146819,2,18,540
+openml__cylinder-bands__14954,2,37,540
+openml__balance-scale__11,3,4,625
+openml__blood-transfusion-service-center__10101,2,4,748
+openml__cmc__23,3,9,1473
+openml__kc1__3917,2,21,2109
+openml__Bioresponse__9910,2,1776,3751
+openml__christine__168908,2,1636,5418
+openml__dilbert__168909,5,2000,10000
+openml__robert__168332,10,7200,10000
+openml__har__14970,6,561,10299
+openml__eeg-eye-state__14951,2,14,14980
+openml__elevators__3711,2,18,16599
+openml__riccardo__168338,2,4296,20000
+openml__volkert__168331,10,180,58310
+openml__connect-4__146195,3,42,67557
+openml__higgs__146606,2,28,98050
+openml__BNG(vote)__212,2,16,131072
+openml__albert__189356,2,78,425240
+openml__airlines__189354,2,7,539383
+openml__Agrawal1__146093,2,9,1000000
+openml__BNG(labor)__2137,2,16,1000000
+openml__poker-hand__9890,10,10,1025009
+openml__Click_prediction_small__7294,2,11,1997410

datasets_used/tt_manyclasses_datasets.csv

@@ -0,0 +1,18 @@
+dataset_name,Classes,Features,Samples,Type
+openml__audiology__7,24,69,226,Classification
+openml__primary-tumor__146032,21,17,339,Classification
+openml__arrhythmia__5,13,279,452,Classification
+openml__collins__3567,15,21,500,Classification
+openml__soybean__41,19,35,683,Classification
+openml__vowel__3022,11,12,990,Classification
+openml__one-hundred-plants-texture__9956,100,64,1599,Classification
+openml__texture__125922,11,40,5500,Classification
+openml__isolet__3481,26,617,7797,Classification
+openml__letter__6,26,16,20000,Classification
+openml__chess__3952,18,6,28056,Classification
+openml__kropt__2076,18,6,28056,Classification
+openml__helena__168329,100,27,65196,Classification
+openml__Devnagari-Script__167121,46,1024,92000,Classification
+openml__walking-activity__9945,22,4,149332,Classification
+openml__ldpa__9974,11,7,164860,Classification
+openml__dionis__189355,355,60,416188,Classification

tabzilla_metadata/availability_of_algorithms.csv

@@ -0,0 +1,177 @@
+dataset_name,alg_name
+openml__APSFailure__168868,14
+openml__Amazon_employee_access__34539,17
+openml__Australian__146818,19
+openml__Bioresponse__9910,16
+openml__CIFAR_10__167124,9
+openml__Census-Income__168340,11
+openml__Click_prediction_small__190408,18
+openml__Devnagari-Script__167121,7
+openml__Fashion-MNIST__146825,10
+openml__GesturePhaseSegmentationProcessed__14969,17
+openml__Internet-Advertisements__167125,16
+openml__JapaneseVowels__3510,17
+openml__LED-display-domain-7digit__125921,19
+openml__MagicTelescope__3954,17
+openml__MiceProtein__146800,19
+openml__MiniBooNE__168335,12
+openml__PhishingWebsites__14952,18
+openml__Satellite__167211,18
+openml__SpeedDating__146607,18
+openml__acute-inflammations__10089,19
+openml__ada_agnostic__3896,18
+openml__adult-census__3953,18
+openml__adult__7592,17
+openml__airlines__189354,12
+openml__albert__189356,9
+openml__analcatdata_authorship__3549,19
+openml__analcatdata_boxing1__3540,19
+openml__analcatdata_chlamydia__3739,19
+openml__analcatdata_dmft__3560,19
+openml__anneal__2867,19
+openml__arrhythmia__5,18
+openml__artificial-characters__14964,17
+openml__audiology__7,18
+openml__autos__9,19
+openml__balance-scale__11,19
+openml__bank-marketing__14965,18
+openml__bank-marketing__9899,16
+openml__banknote-authentication__10093,18
+openml__blood-transfusion-service-center__10101,19
+openml__blood-transfusion-service-center__145836,19
+openml__breast-cancer__145799,19
+openml__breast-w__15,19
+openml__car-evaluation__146192,18
+openml__car__146821,18
+openml__cardiotocography__9979,18
+openml__chess__3952,16
+openml__christine__168908,15
+openml__churn__167141,18
+openml__cjs__14967,18
+openml__climate-model-simulation-crashes__146819,18
+openml__cmc__23,18
+openml__cnae-9__9981,16
+openml__colic__25,19
+openml__colic__27,19
+openml__collins__3567,18
+openml__connect-4__146195,16
+openml__covertype__7593,7
+openml__credit-approval__29,19
+openml__credit-g__31,18
+openml__cylinder-bands__14954,19
+openml__dermatology__35,19
+openml__diabetes__37,19
+openml__dilbert__168909,14
+openml__dna__167140,18
+openml__dresses-sales__125920,19
+openml__ecoli__145977,19
+openml__eeg-eye-state__14951,17
+openml__electricity__219,17
+openml__elevators__3711,18
+openml__eucalyptus__2079,19
+openml__eye_movements__3897,17
+openml__fabert__168910,15
+openml__fertility__9984,19
+openml__first-order-theorem-proving__9985,17
+openml__fl2000__3566,18
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+openml__gas-drift-different-concentrations__9987,15
+openml__gas-drift__9986,16
+openml__gina_agnostic__3891,16
+openml__glass__40,19
+openml__guillermo__168337,10
+openml__haberman__42,18
+openml__har__14970,15
+openml__hayes-roth__146063,19
+openml__heart-c__48,19
+openml__heart-h__50,19
+openml__helena__168329,10
+openml__hepatitis__54,18
+openml__higgs__146606,14
+openml__hill-valley__145847,19
+openml__house_16H__3686,17
+openml__ilpd__9971,19
+openml__ionosphere__145984,19
+openml__iris__59,19
+openml__irish__3543,19
+openml__isolet__3481,14
+openml__jannis__168330,13
+openml__jasmine__168911,18
+openml__jm1__3904,18
+openml__jungle_chess_2pcs_raw_endgame_complete__167119,14
+openml__kc1__3917,18
+openml__kc2__3913,19
+openml__kr-vs-kp__3,18
+openml__kropt__2076,16
+openml__labor__4,19
+openml__ldpa__9974,12
+openml__letter__6,17
+openml__libras__360948,18
+openml__lung-cancer__146024,19
+openml__lymph__10,19
+openml__madelon__9976,17
+openml__magic__146206,17
+openml__mfeat-factors__12,18
+openml__mfeat-fourier__14,18
+openml__mfeat-karhunen__16,18
+openml__mfeat-morphological__18,18
+openml__mfeat-pixel__146824,17
+openml__mfeat-zernike__22,18
+openml__mnist_784__3573,11
+openml__monks-problems-2__146065,19
+openml__mushroom__24,18
+openml__musk__3950,18
+openml__nomao__9977,15
+openml__numerai28.6__167120,14
+openml__nursery__9892,17
+openml__one-hundred-plants-texture__9956,16
+openml__optdigits__28,17
+openml__ozone-level-8hr__9978,18
+openml__page-blocks__30,18
+openml__pc1__3918,19
+openml__pc3__3903,18
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+openml__pendigits__32,16
+openml__philippine__190410,16
+openml__phoneme__9952,18
+openml__poker-hand__9890,5
+openml__pollen__3735,17
+openml__postoperative-patient-data__146210,19
+openml__primary-tumor__146032,18
+openml__profb__3561,19
+openml__qsar-biodeg__9957,19
+openml__rabe_266__3647,19
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+openml__shuttle__146212,15
+openml__sick__3021,18
+openml__skin-segmentation__9965,13
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+openml__solar-flare__2068,18
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+openml__wilt__146820,18
+openml__yeast__145793,19

tabzilla_metadata/availability_of_algorithms_without_TabPFN.csv

@@ -0,0 +1,177 @@
+dataset_name,alg_name
+openml__APSFailure__168868,14
+openml__Amazon_employee_access__34539,17
+openml__Australian__146818,18
+openml__Bioresponse__9910,16
+openml__CIFAR_10__167124,9
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+openml__Fashion-MNIST__146825,10
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+openml__Internet-Advertisements__167125,16
+openml__JapaneseVowels__3510,17
+openml__LED-display-domain-7digit__125921,18
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+openml__MiceProtein__146800,18
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+openml__PhishingWebsites__14952,18
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+openml__SpeedDating__146607,18
+openml__acute-inflammations__10089,18
+openml__ada_agnostic__3896,18
+openml__adult-census__3953,18
+openml__adult__7592,17
+openml__airlines__189354,12
+openml__albert__189356,9
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+openml__lymph__10,18
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+openml__pollen__3735,17
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+openml__primary-tumor__146032,18
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+openml__rabe_266__3647,18
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