Add batch datagen_101 (65,500 rows)
Browse files- README.md +465 -9
- datagen_101/train-00000-of-00001.parquet +3 -0
README.md
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---
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license: other
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task_categories:
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language:
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tags:
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pretty_name:
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| 15 |
---
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| 16 |
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| 17 |
# Tabula Pretraining Corpus
|
|
|
|
| 1 |
---
|
| 2 |
license: other
|
| 3 |
task_categories:
|
| 4 |
+
- tabular-classification
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| 5 |
+
- tabular-regression
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| 6 |
language:
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| 7 |
+
- en
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| 8 |
tags:
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| 9 |
+
- tabular
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| 10 |
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- synthetic
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| 11 |
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- real-data
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+
- pretraining
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+
- tabpfn
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| 14 |
+
pretty_name: Tabula Pretraining Corpus
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| 15 |
+
dataset_info:
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| 16 |
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config_name: datagen_101
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+
features:
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| 18 |
+
- name: training_hours
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| 19 |
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dtype: float64
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| 20 |
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- name: absences
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dtype: float64
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| 22 |
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- name: department_id
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| 23 |
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dtype: float64
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| 24 |
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- name: team_size
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| 25 |
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dtype: float64
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| 26 |
+
- name: peer_rating
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| 27 |
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dtype: float64
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| 28 |
+
- name: performance_score
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| 29 |
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dtype: float64
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| 30 |
+
- name: remote_days
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dtype: float64
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| 32 |
+
- name: salary
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| 33 |
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dtype: float64
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| 34 |
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- name: attrition
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| 35 |
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dtype: float64
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| 36 |
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- name: promotions
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| 37 |
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dtype: float64
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| 38 |
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- name: overtime_hours
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| 39 |
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dtype: float64
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- name: satisfaction
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dtype: float64
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| 42 |
+
- name: role_level
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| 43 |
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dtype: float64
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| 44 |
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- name: tenure_years
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dtype: float64
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| 46 |
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- name: bonus_pct
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| 47 |
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dtype: float64
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| 48 |
+
- name: hr_15
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| 49 |
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dtype: float64
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| 50 |
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- name: hr_16
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| 51 |
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dtype: float64
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| 52 |
+
- name: hr_17
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| 53 |
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dtype: float64
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| 54 |
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- name: hr_18
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dtype: float64
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| 56 |
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- name: hr_19
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dtype: float64
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- name: hr_20
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dtype: float64
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- name: hr_21
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dtype: float64
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| 62 |
+
- name: hr_22
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dtype: float64
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| 64 |
+
- name: target
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| 65 |
+
dtype: int64
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| 66 |
+
- name: _source_meta
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| 67 |
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dtype: large_string
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| 68 |
+
- name: finance_29
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| 69 |
+
dtype: float64
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| 70 |
+
- name: logistics_35
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| 71 |
+
dtype: float64
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| 72 |
+
- name: ecommerce_25
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| 73 |
+
dtype: float64
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| 74 |
+
- name: logistics_31
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| 75 |
+
dtype: float64
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| 76 |
+
- name: finance_27
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| 77 |
+
dtype: float64
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| 78 |
+
- name: ecommerce_38
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| 79 |
+
dtype: float64
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| 80 |
+
- name: margin
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| 81 |
+
dtype: float64
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| 82 |
+
- name: fragile
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| 83 |
+
dtype: float64
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| 84 |
+
- name: fever
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| 85 |
+
dtype: float64
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| 86 |
+
- name: logistics_25
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| 87 |
+
dtype: float64
|
| 88 |
+
- name: science_40
|
| 89 |
+
dtype: float64
|
| 90 |
+
- name: ecommerce_19
|
| 91 |
+
dtype: float64
|
| 92 |
+
- name: ecommerce_41
|
| 93 |
+
dtype: float64
|
| 94 |
+
- name: interest_rate
|
| 95 |
+
dtype: float64
|
| 96 |
+
- name: ecommerce_36
|
| 97 |
+
dtype: float64
|
| 98 |
+
- name: logistics_22
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| 99 |
+
dtype: float64
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| 100 |
+
- name: heart_rate
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| 101 |
+
dtype: float64
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| 102 |
+
- name: category
|
| 103 |
+
dtype: float64
|
| 104 |
+
- name: ecommerce_33
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| 105 |
+
dtype: float64
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| 106 |
+
- name: finance_23
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| 107 |
+
dtype: float64
|
| 108 |
+
- name: velocity
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| 109 |
+
dtype: float64
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| 110 |
+
- name: science_27
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| 111 |
+
dtype: float64
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| 112 |
+
- name: blood_pressure
|
| 113 |
+
dtype: float64
|
| 114 |
+
- name: science_31
|
| 115 |
+
dtype: float64
|
| 116 |
+
- name: damage_rate
|
| 117 |
+
dtype: float64
|
| 118 |
+
- name: temperature_k
|
| 119 |
+
dtype: float64
|
| 120 |
+
- name: ecommerce_23
|
| 121 |
+
dtype: float64
|
| 122 |
+
- name: finance_36
|
| 123 |
+
dtype: float64
|
| 124 |
+
- name: logistics_48
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| 125 |
+
dtype: float64
|
| 126 |
+
- name: purity
|
| 127 |
+
dtype: float64
|
| 128 |
+
- name: logistics_46
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| 129 |
+
dtype: float64
|
| 130 |
+
- name: finance_28
|
| 131 |
+
dtype: float64
|
| 132 |
+
- name: finance_34
|
| 133 |
+
dtype: float64
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| 134 |
+
- name: reaction_time
|
| 135 |
+
dtype: float64
|
| 136 |
+
- name: logistics_36
|
| 137 |
+
dtype: float64
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| 138 |
+
- name: reviews
|
| 139 |
+
dtype: float64
|
| 140 |
+
- name: route_id
|
| 141 |
+
dtype: float64
|
| 142 |
+
- name: smoking
|
| 143 |
+
dtype: float64
|
| 144 |
+
- name: finance_22
|
| 145 |
+
dtype: float64
|
| 146 |
+
- name: mass
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| 147 |
+
dtype: float64
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| 148 |
+
- name: weight_kg
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| 149 |
+
dtype: float64
|
| 150 |
+
- name: load_factor
|
| 151 |
+
dtype: float64
|
| 152 |
+
- name: pressure_pa
|
| 153 |
+
dtype: float64
|
| 154 |
+
- name: science_30
|
| 155 |
+
dtype: float64
|
| 156 |
+
- name: logistics_24
|
| 157 |
+
dtype: float64
|
| 158 |
+
- name: refund
|
| 159 |
+
dtype: float64
|
| 160 |
+
- name: finance_44
|
| 161 |
+
dtype: float64
|
| 162 |
+
- name: finance_26
|
| 163 |
+
dtype: float64
|
| 164 |
+
- name: science_34
|
| 165 |
+
dtype: float64
|
| 166 |
+
- name: carrier_id
|
| 167 |
+
dtype: float64
|
| 168 |
+
- name: logistics_42
|
| 169 |
+
dtype: float64
|
| 170 |
+
- name: science_23
|
| 171 |
+
dtype: float64
|
| 172 |
+
- name: logistics_33
|
| 173 |
+
dtype: float64
|
| 174 |
+
- name: priority
|
| 175 |
+
dtype: float64
|
| 176 |
+
- name: logistics_52
|
| 177 |
+
dtype: float64
|
| 178 |
+
- name: finance_39
|
| 179 |
+
dtype: float64
|
| 180 |
+
- name: income
|
| 181 |
+
dtype: float64
|
| 182 |
+
- name: ecommerce_34
|
| 183 |
+
dtype: float64
|
| 184 |
+
- name: ecommerce_18
|
| 185 |
+
dtype: float64
|
| 186 |
+
- name: customs_flag
|
| 187 |
+
dtype: float64
|
| 188 |
+
- name: shipping_days
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| 189 |
+
dtype: float64
|
| 190 |
+
- name: logistics_20
|
| 191 |
+
dtype: float64
|
| 192 |
+
- name: logistics_26
|
| 193 |
+
dtype: float64
|
| 194 |
+
- name: logistics_51
|
| 195 |
+
dtype: float64
|
| 196 |
+
- name: finance_30
|
| 197 |
+
dtype: float64
|
| 198 |
+
- name: finance_18
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| 199 |
+
dtype: float64
|
| 200 |
+
- name: white_cell_count
|
| 201 |
+
dtype: float64
|
| 202 |
+
- name: ecommerce_28
|
| 203 |
+
dtype: float64
|
| 204 |
+
- name: logistics_49
|
| 205 |
+
dtype: float64
|
| 206 |
+
- name: logistics_16
|
| 207 |
+
dtype: float64
|
| 208 |
+
- name: ecommerce_16
|
| 209 |
+
dtype: float64
|
| 210 |
+
- name: ecommerce_37
|
| 211 |
+
dtype: float64
|
| 212 |
+
- name: logistics_30
|
| 213 |
+
dtype: float64
|
| 214 |
+
- name: science_21
|
| 215 |
+
dtype: float64
|
| 216 |
+
- name: logistics_50
|
| 217 |
+
dtype: float64
|
| 218 |
+
- name: science_33
|
| 219 |
+
dtype: float64
|
| 220 |
+
- name: science_32
|
| 221 |
+
dtype: float64
|
| 222 |
+
- name: cart_size
|
| 223 |
+
dtype: float64
|
| 224 |
+
- name: science_25
|
| 225 |
+
dtype: float64
|
| 226 |
+
- name: ecommerce_39
|
| 227 |
+
dtype: float64
|
| 228 |
+
- name: logistics_23
|
| 229 |
+
dtype: float64
|
| 230 |
+
- name: science_38
|
| 231 |
+
dtype: float64
|
| 232 |
+
- name: science_26
|
| 233 |
+
dtype: float64
|
| 234 |
+
- name: ecommerce_21
|
| 235 |
+
dtype: float64
|
| 236 |
+
- name: ecommerce_15
|
| 237 |
+
dtype: float64
|
| 238 |
+
- name: rating
|
| 239 |
+
dtype: float64
|
| 240 |
+
- name: logistics_47
|
| 241 |
+
dtype: float64
|
| 242 |
+
- name: creatinine
|
| 243 |
+
dtype: float64
|
| 244 |
+
- name: ecommerce_31
|
| 245 |
+
dtype: float64
|
| 246 |
+
- name: logistics_15
|
| 247 |
+
dtype: float64
|
| 248 |
+
- name: transit_days
|
| 249 |
+
dtype: float64
|
| 250 |
+
- name: bmi
|
| 251 |
+
dtype: float64
|
| 252 |
+
- name: finance_42
|
| 253 |
+
dtype: float64
|
| 254 |
+
- name: science_41
|
| 255 |
+
dtype: float64
|
| 256 |
+
- name: science_17
|
| 257 |
+
dtype: float64
|
| 258 |
+
- name: clicks
|
| 259 |
+
dtype: float64
|
| 260 |
+
- name: finance_32
|
| 261 |
+
dtype: float64
|
| 262 |
+
- name: family_history
|
| 263 |
+
dtype: float64
|
| 264 |
+
- name: science_15
|
| 265 |
+
dtype: float64
|
| 266 |
+
- name: finance_15
|
| 267 |
+
dtype: float64
|
| 268 |
+
- name: expenses
|
| 269 |
+
dtype: float64
|
| 270 |
+
- name: cost_usd
|
| 271 |
+
dtype: float64
|
| 272 |
+
- name: science_35
|
| 273 |
+
dtype: float64
|
| 274 |
+
- name: default
|
| 275 |
+
dtype: float64
|
| 276 |
+
- name: logistics_28
|
| 277 |
+
dtype: float64
|
| 278 |
+
- name: science_28
|
| 279 |
+
dtype: float64
|
| 280 |
+
- name: ecommerce_29
|
| 281 |
+
dtype: float64
|
| 282 |
+
- name: finance_38
|
| 283 |
+
dtype: float64
|
| 284 |
+
- name: volume
|
| 285 |
+
dtype: float64
|
| 286 |
+
- name: exercise_days
|
| 287 |
+
dtype: float64
|
| 288 |
+
- name: logistics_38
|
| 289 |
+
dtype: float64
|
| 290 |
+
- name: science_19
|
| 291 |
+
dtype: float64
|
| 292 |
+
- name: ecommerce_17
|
| 293 |
+
dtype: float64
|
| 294 |
+
- name: ecommerce_35
|
| 295 |
+
dtype: float64
|
| 296 |
+
- name: quantity
|
| 297 |
+
dtype: float64
|
| 298 |
+
- name: finance_35
|
| 299 |
+
dtype: float64
|
| 300 |
+
- name: finance_37
|
| 301 |
+
dtype: float64
|
| 302 |
+
- name: employment_years
|
| 303 |
+
dtype: float64
|
| 304 |
+
- name: conversion
|
| 305 |
+
dtype: float64
|
| 306 |
+
- name: finance_33
|
| 307 |
+
dtype: float64
|
| 308 |
+
- name: finance_45
|
| 309 |
+
dtype: float64
|
| 310 |
+
- name: ecommerce_26
|
| 311 |
+
dtype: float64
|
| 312 |
+
- name: logistics_21
|
| 313 |
+
dtype: float64
|
| 314 |
+
- name: logistics_44
|
| 315 |
+
dtype: float64
|
| 316 |
+
- name: ecommerce_24
|
| 317 |
+
dtype: float64
|
| 318 |
+
- name: price
|
| 319 |
+
dtype: float64
|
| 320 |
+
- name: credit_score
|
| 321 |
+
dtype: float64
|
| 322 |
+
- name: warehouse_id
|
| 323 |
+
dtype: float64
|
| 324 |
+
- name: return_flag
|
| 325 |
+
dtype: float64
|
| 326 |
+
- name: logistics_32
|
| 327 |
+
dtype: float64
|
| 328 |
+
- name: finance_21
|
| 329 |
+
dtype: float64
|
| 330 |
+
- name: finance_25
|
| 331 |
+
dtype: float64
|
| 332 |
+
- name: finance_19
|
| 333 |
+
dtype: float64
|
| 334 |
+
- name: science_24
|
| 335 |
+
dtype: float64
|
| 336 |
+
- name: cholesterol
|
| 337 |
+
dtype: float64
|
| 338 |
+
- name: science_16
|
| 339 |
+
dtype: float64
|
| 340 |
+
- name: ecommerce_27
|
| 341 |
+
dtype: float64
|
| 342 |
+
- name: science_36
|
| 343 |
+
dtype: float64
|
| 344 |
+
- name: entropy
|
| 345 |
+
dtype: float64
|
| 346 |
+
- name: wavelength
|
| 347 |
+
dtype: float64
|
| 348 |
+
- name: ph
|
| 349 |
+
dtype: float64
|
| 350 |
+
- name: finance_17
|
| 351 |
+
dtype: float64
|
| 352 |
+
- name: science_22
|
| 353 |
+
dtype: float64
|
| 354 |
+
- name: science_42
|
| 355 |
+
dtype: float64
|
| 356 |
+
- name: fuel_consumption
|
| 357 |
+
dtype: float64
|
| 358 |
+
- name: liabilities
|
| 359 |
+
dtype: float64
|
| 360 |
+
- name: finance_20
|
| 361 |
+
dtype: float64
|
| 362 |
+
- name: logistics_43
|
| 363 |
+
dtype: float64
|
| 364 |
+
- name: logistics_17
|
| 365 |
+
dtype: float64
|
| 366 |
+
- name: science_37
|
| 367 |
+
dtype: float64
|
| 368 |
+
- name: science_29
|
| 369 |
+
dtype: float64
|
| 370 |
+
- name: logistics_29
|
| 371 |
+
dtype: float64
|
| 372 |
+
- name: session_minutes
|
| 373 |
+
dtype: float64
|
| 374 |
+
- name: intensity
|
| 375 |
+
dtype: float64
|
| 376 |
+
- name: churn
|
| 377 |
+
dtype: float64
|
| 378 |
+
- name: finance_16
|
| 379 |
+
dtype: float64
|
| 380 |
+
- name: logistics_39
|
| 381 |
+
dtype: float64
|
| 382 |
+
- name: hemoglobin
|
| 383 |
+
dtype: float64
|
| 384 |
+
- name: logistics_18
|
| 385 |
+
dtype: float64
|
| 386 |
+
- name: science_39
|
| 387 |
+
dtype: float64
|
| 388 |
+
- name: assets
|
| 389 |
+
dtype: float64
|
| 390 |
+
- name: tax_rate
|
| 391 |
+
dtype: float64
|
| 392 |
+
- name: logistics_37
|
| 393 |
+
dtype: float64
|
| 394 |
+
- name: discount
|
| 395 |
+
dtype: float64
|
| 396 |
+
- name: age
|
| 397 |
+
dtype: float64
|
| 398 |
+
- name: distance_km
|
| 399 |
+
dtype: float64
|
| 400 |
+
- name: logistics_45
|
| 401 |
+
dtype: float64
|
| 402 |
+
- name: logistics_19
|
| 403 |
+
dtype: float64
|
| 404 |
+
- name: logistics_41
|
| 405 |
+
dtype: float64
|
| 406 |
+
- name: revenue
|
| 407 |
+
dtype: float64
|
| 408 |
+
- name: loan_amount
|
| 409 |
+
dtype: float64
|
| 410 |
+
- name: yield_pct
|
| 411 |
+
dtype: float64
|
| 412 |
+
- name: finance_43
|
| 413 |
+
dtype: float64
|
| 414 |
+
- name: finance_31
|
| 415 |
+
dtype: float64
|
| 416 |
+
- name: logistics_27
|
| 417 |
+
dtype: float64
|
| 418 |
+
- name: logistics_40
|
| 419 |
+
dtype: float64
|
| 420 |
+
- name: logistics_34
|
| 421 |
+
dtype: float64
|
| 422 |
+
- name: finance_24
|
| 423 |
+
dtype: float64
|
| 424 |
+
- name: return_rate
|
| 425 |
+
dtype: float64
|
| 426 |
+
- name: balance
|
| 427 |
+
dtype: float64
|
| 428 |
+
- name: finance_41
|
| 429 |
+
dtype: float64
|
| 430 |
+
- name: debt_ratio
|
| 431 |
+
dtype: float64
|
| 432 |
+
- name: finance_40
|
| 433 |
+
dtype: float64
|
| 434 |
+
- name: science_18
|
| 435 |
+
dtype: float64
|
| 436 |
+
- name: finance_46
|
| 437 |
+
dtype: float64
|
| 438 |
+
- name: ecommerce_40
|
| 439 |
+
dtype: float64
|
| 440 |
+
- name: alcohol_units
|
| 441 |
+
dtype: float64
|
| 442 |
+
- name: concentration
|
| 443 |
+
dtype: float64
|
| 444 |
+
- name: ecommerce_30
|
| 445 |
+
dtype: float64
|
| 446 |
+
- name: acceleration
|
| 447 |
+
dtype: float64
|
| 448 |
+
- name: ecommerce_20
|
| 449 |
+
dtype: float64
|
| 450 |
+
- name: ecommerce_32
|
| 451 |
+
dtype: float64
|
| 452 |
+
- name: ecommerce_22
|
| 453 |
+
dtype: float64
|
| 454 |
+
- name: science_20
|
| 455 |
+
dtype: float64
|
| 456 |
+
- name: on_time
|
| 457 |
+
dtype: float64
|
| 458 |
+
- name: energy_kj
|
| 459 |
+
dtype: float64
|
| 460 |
+
splits:
|
| 461 |
+
- name: train
|
| 462 |
+
num_bytes: 142853360
|
| 463 |
+
num_examples: 65500
|
| 464 |
+
download_size: 13389578
|
| 465 |
+
dataset_size: 142853360
|
| 466 |
+
configs:
|
| 467 |
+
- config_name: datagen_101
|
| 468 |
+
data_files:
|
| 469 |
+
- split: train
|
| 470 |
+
path: datagen_101/train-*
|
| 471 |
---
|
| 472 |
|
| 473 |
# Tabula Pretraining Corpus
|
datagen_101/train-00000-of-00001.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:501a5c1b2604da95e43d4f46889ec857251b90b2516357c68ea84dc9c3d2233d
|
| 3 |
+
size 13389578
|