avewright/tabula-v1
Updated
• 14
feat_0 float32 -17.04 21.9 ⌀ | feat_1 float32 -17.03 17.7 ⌀ | feat_2 float32 -22.04 20.9 ⌀ | feat_3 float32 -32.76 35 ⌀ | feat_4 float32 -43 41.9 ⌀ | feat_5 float32 -27.84 26.6 ⌀ | feat_6 float32 -32.21 31.7 ⌀ | feat_7 float32 -44.4 49.6 ⌀ | feat_8 float32 -44.01 41.6 ⌀ | feat_9 float32 -43.3 44.7 ⌀ | feat_10 float32 -82.27 71.5 ⌀ | feat_11 float32 -114.3 98.7 ⌀ | feat_12 float32 -110.13 109 ⌀ | feat_13 float32 -93.53 82.2 ⌀ | feat_14 float32 -156.33 146 ⌀ | feat_15 float32 -152.37 141 ⌀ | feat_16 float32 -143.8 163 ⌀ | feat_17 float32 -163.9 160 ⌀ | feat_18 float32 -144.69 143 ⌀ | feat_19 float32 -363.78 357 ⌀ | feat_20 float32 -281.76 278 ⌀ | feat_21 float32 -231.07 258 ⌀ | feat_22 float32 -367.52 363 ⌀ | feat_23 float32 -282.95 289 ⌀ | feat_24 float32 -635.94 545 ⌀ | feat_25 float32 -666.32 673 ⌀ | feat_26 float32 -464.13 489 ⌀ | feat_27 float32 -713.89 734 ⌀ | feat_28 float32 -1,170.05 1.14k ⌀ | feat_29 float32 -964.53 1.01k ⌀ | feat_30 float32 -772.83 837 ⌀ | feat_31 float32 -1,150.36 1.15k ⌀ | feat_32 float32 -2,070.67 2.01k ⌀ | feat_33 float32 -1,733.68 1.66k ⌀ | feat_34 float32 -1,384.22 1.35k ⌀ | feat_35 float32 -1,594.91 1.68k ⌀ | feat_36 float32 -1,425.17 1.31k ⌀ | feat_37 float32 -3,102.69 2.98k ⌀ | feat_38 float32 -2,274.87 2.4k ⌀ | feat_39 float32 -2,753.9 3.03k ⌀ | feat_40 float32 -2,680.55 2.78k ⌀ | feat_41 float32 -2,317.47 2.17k ⌀ | feat_42 float32 -5,668.2 5.35k ⌀ | feat_43 float32 -4,147.23 3.64k ⌀ | feat_44 float32 -7,933.28 9.01k ⌀ | feat_45 float32 -4,171.17 4.02k ⌀ | feat_46 float32 -3,301.94 3.13k ⌀ | feat_47 float32 -16,280.14 14.3k ⌀ | feat_48 float32 -6,246.32 6.56k ⌀ | feat_49 float32 -5,472.03 5.29k ⌀ | feat_50 float32 -5,706.37 5.77k ⌀ | feat_51 float32 -4,872.29 4.65k ⌀ | feat_52 float32 -10,287.15 10.2k ⌀ | feat_53 float32 -12,167.28 12.6k ⌀ | feat_54 float32 -6,417.8 5.89k ⌀ | feat_55 float32 -9,504.11 8.98k ⌀ | feat_56 float32 -13,426.68 13.9k ⌀ | feat_57 float32 -24,557.67 23.2k ⌀ | feat_58 float32 -14,440.87 15k ⌀ | feat_59 float32 -9,608.11 10.3k ⌀ | feat_60 float32 -11,274.2 11.7k ⌀ | feat_61 float32 -10,718.05 9.78k ⌀ | feat_62 float32 -6,164.26 6.72k ⌀ | feat_63 float32 -7,815.2 7.91k ⌀ | target float32 -159.25 148 | _source_meta large_stringlengths 292 1.34k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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-1.045264 | -0.190312 | -2.337879 | -0.871459 | -1.862758 | -1.108583 | 5.361661 | -0.881777 | 5.160041 | 0.75077 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.240806 | 0.946906 | 0.264209 | 0.897599 | 0.777236 | 1.120292 | 0.919062 | 3.597888 | -0.273264 | 0.632957 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-0.912146 | -0.506903 | -3.490613 | -2.407147 | -2.54057 | -1.586238 | 4.347003 | 2.654263 | 5.295791 | -2.42124 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.309529 | 1.385515 | 1.668325 | 2.058433 | 1.197562 | -0.710568 | 3.238976 | 3.862226 | -0.054685 | -1.923591 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-0.782504 | -0.372775 | -0.480189 | -1.041544 | -2.692931 | -0.386122 | 4.888468 | 1.465276 | 4.331053 | -1.198706 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.240124 | 0.15472 | 0.492691 | 1.474069 | 1.547889 | -0.297335 | 7.462044 | 3.859021 | -2.74938 | 0.843893 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.439622 | -0.168358 | -2.974946 | -0.388567 | -4.457717 | -0.803126 | 1.819598 | -0.862352 | 3.560547 | 0.986995 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.436342 | -1.019683 | -2.444997 | -1.537723 | 0.84013 | -1.658772 | 2.46585 | 0.322999 | 3.724272 | -0.519215 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.122739 | -0.714398 | -1.719512 | 0.399853 | -1.463189 | -0.207695 | 3.365058 | 2.574012 | 4.612293 | -0.785154 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-0.897705 | -0.430823 | -2.592469 | -0.411415 | -0.921525 | -0.128752 | 0.155585 | -1.990445 | 5.544243 | -3.388181 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.05987 | 0.720931 | 0.987644 | 1.777331 | 1.757218 | 0.812468 | 3.738389 | 3.691414 | -0.174228 | -3.837913 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.241339 | -0.832252 | -1.836107 | -1.396487 | -1.096372 | -0.23281 | 2.612075 | 1.811041 | 4.500238 | -0.51638 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.244381 | -0.186245 | -3.374834 | -0.771182 | -0.824649 | -0.805643 | 4.052132 | -1.623137 | 6.239231 | -0.603032 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.278336 | -0.587773 | -2.125295 | -0.250539 | -6.183251 | -0.941081 | 3.291905 | 1.060805 | 4.205589 | -0.96541 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
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1.306958 | 0.809123 | -2.138748 | -0.991803 | -0.070543 | 4.616694 | -2.089941 | 2.884263 | 0.394855 | 1.068874 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-0.781361 | 0.015 | -2.099359 | -2.097306 | -0.836054 | -0.404399 | 2.939553 | -0.061683 | 4.025625 | -0.845542 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-0.776023 | -0.877758 | -2.977702 | -0.775578 | -0.429327 | 0.358794 | 2.349045 | 0.875677 | 3.739972 | -1.540515 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.080187 | 0.226549 | 0.628938 | -0.297401 | -0.638504 | -0.62977 | 5.505815 | 3.725732 | -4.055422 | 2.923797 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.114475 | 0.132741 | -4.276207 | -0.410602 | 0.480884 | -0.774319 | 3.48175 | -1.14609 | 2.999323 | -2.771822 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.943918 | 1.415251 | -1.747997 | -0.172611 | 0.136731 | 4.945069 | -2.522552 | 2.135131 | 0.455803 | 0.741425 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-0.765578 | 0.450877 | -2.226245 | -1.545077 | -0.550895 | -0.547148 | 2.658328 | -0.444119 | 2.953366 | -1.091456 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.813197 | -0.336264 | -2.612044 | -1.302702 | -3.78742 | -0.454983 | 4.499521 | 2.488868 | 3.349976 | -1.197229 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
-1.064846 | 0.444034 | -2.573485 | -0.514651 | -5.202637 | 0.059403 | 1.143113 | 1.112061 | 5.584913 | -2.842205 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.584844 | 0.574797 | 1.536486 | 0.381761 | 1.136278 | 0.96668 | 3.054769 | 3.924504 | 0.641709 | -1.439183 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.47367 | 0.630683 | 0.246223 | 0.104561 | 1.148964 | 1.270213 | 2.354069 | 4.022948 | -0.375046 | 1.60126 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
0.106418 | 0.913937 | 0.494587 | -1.179551 | 0.926081 | 1.944602 | -1.781607 | 3.271174 | -1.309319 | -0.144792 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 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 | {"generator": "GaussianMixture", "task_type": "binary", "n_features": 10, "n_classes": 2, "n_samples": 12172, "domain": "education", "feature_names": ["midterm_grade", "final_grade", "cumulative_gpa", "financial_aid_amount", "exam_score", "attendance_rate", "sat_math", "lab_score", "course_load", "sat_verbal"], "seed": 30, "method": "GaussianMixture", "missingness_rate": 0.0, "concept_drift": false, "utility_auc": 0.0} |
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in Data Studio
Tabula Pretraining Corpus v2
A large-scale synthetic tabular dataset for pretraining transformer-based in-context learning models for tabular data (similar to TabPFN).
Overview
| Metric | Value |
|---|---|
| Total rows | 272,271,776 |
| Total datasets | 10,867 |
| Shards | 135 |
| Mean utility AUC | 0.851 |
| Format | Parquet (float32) |
Schema
Each shard is a Parquet file with a fixed-width schema:
- feat_0 through feat_63: Float32 feature columns. Unused slots are NaN.
- target: Float32 target variable (classification label or regression target).
- _source_meta: JSON string with dataset metadata including:
generator: Which synthetic generator produced this datasettask_type: "binary", "multiclass", or "regression"n_features: Number of active features (rest are NaN-padded)n_classes: Number of target classesn_samples: Number of rows in the original datasetdomain: Semantic domain (finance, health, etc.)feature_names: Original domain-specific column names
Generators
| Generator | Datasets |
|---|---|
| GaussianMixture | 3,029 |
| Polynomial | 2,738 |
| SCM | 2,674 |
| TreePrior | 2,096 |
| Regression | 325 |
| MixedType_GaussianMixture | 2 |
| MixedType_SCM | 2 |
| MixedType_TreePrior | 1 |
Task Types
| Type | Datasets |
|---|---|
| binary | 8,396 |
| multiclass | 2,146 |
| regression | 325 |
Domains
| Domain | Datasets |
|---|---|
| hr | 1,033 |
| education | 1,031 |
| telecom | 1,028 |
| science | 1,020 |
| iot | 1,005 |
| finance | 1,000 |
| health | 985 |
| ecommerce | 977 |
| logistics | 972 |
| environment | 935 |
| manufacturing | 881 |
Quality Gates
Every generated dataset passes quality gates before inclusion:
- No constant columns — all features must vary
- No all-null columns
- Minority class fraction ≥ 5% for classification
- Duplicate row fraction ≤ 30%
- RF utility AUC ≥ 0.55 — a Random Forest must achieve above-chance cross-validated AUC
Gate failure rate: 22.4%
Data Augmentation
- Missingness injection: ~30% of datasets have random missing values injected
- Concept drift: ~20% of datasets have feature distribution shifts
Usage
from datasets import load_dataset
ds = load_dataset("avewright/tabula-pretraining-corpus-v2", split="train", streaming=True)
for batch in ds.iter(batch_size=512):
features = batch["feat_0"] # access individual features
target = batch["target"]
meta = batch["_source_meta"] # JSON metadata string
License
Apache 2.0
- Downloads last month
- 235
Size of downloaded dataset files:
224 GB
Size of the auto-converted Parquet files:
224 GB
Number of rows:
1,367,459,833
Models trained or fine-tuned on avewright/tabula-pretraining-corpus-v2