Datasets:
Upload 3 files
Browse files- README.md +17 -0
- breast-cancer-wisconsin.data +699 -0
- breast.py +129 -0
README.md
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---
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language:
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- en
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tags:
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- breast
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- tabular_classification
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- binary_classification
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pretty_name: Bank
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size_categories:
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- 100<n<1K
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task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
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- tabular-classification
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configs:
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- cancer
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---
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# Breast cancer
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The [Breast cancer dataset](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29) is cool.
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breast-cancer-wisconsin.data
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1165926,9,6,9,2,10,6,2,9,10,4
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100 |
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1166630,7,5,6,10,5,10,7,9,4,4
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101 |
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1166654,10,3,5,1,10,5,3,10,2,4
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102 |
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1167439,2,3,4,4,2,5,2,5,1,4
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103 |
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1167471,4,1,2,1,2,1,3,1,1,2
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104 |
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1168359,8,2,3,1,6,3,7,1,1,4
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105 |
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1168736,10,10,10,10,10,1,8,8,8,4
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106 |
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1169049,7,3,4,4,3,3,3,2,7,4
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107 |
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1170419,10,10,10,8,2,10,4,1,1,4
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108 |
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1170420,1,6,8,10,8,10,5,7,1,4
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109 |
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1171710,1,1,1,1,2,1,2,3,1,2
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110 |
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1171710,6,5,4,4,3,9,7,8,3,4
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111 |
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1171795,1,3,1,2,2,2,5,3,2,2
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112 |
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1171845,8,6,4,3,5,9,3,1,1,4
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113 |
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1172152,10,3,3,10,2,10,7,3,3,4
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114 |
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1173216,10,10,10,3,10,8,8,1,1,4
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115 |
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1173235,3,3,2,1,2,3,3,1,1,2
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116 |
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1173347,1,1,1,1,2,5,1,1,1,2
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117 |
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1173347,8,3,3,1,2,2,3,2,1,2
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118 |
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1173509,4,5,5,10,4,10,7,5,8,4
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119 |
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1173514,1,1,1,1,4,3,1,1,1,2
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120 |
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1173681,3,2,1,1,2,2,3,1,1,2
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121 |
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1174057,1,1,2,2,2,1,3,1,1,2
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122 |
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1174057,4,2,1,1,2,2,3,1,1,2
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123 |
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1174131,10,10,10,2,10,10,5,3,3,4
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124 |
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1174428,5,3,5,1,8,10,5,3,1,4
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125 |
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1175937,5,4,6,7,9,7,8,10,1,4
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126 |
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1176406,1,1,1,1,2,1,2,1,1,2
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127 |
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1176881,7,5,3,7,4,10,7,5,5,4
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128 |
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1177027,3,1,1,1,2,1,3,1,1,2
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129 |
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1177399,8,3,5,4,5,10,1,6,2,4
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130 |
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1177512,1,1,1,1,10,1,1,1,1,2
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131 |
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1178580,5,1,3,1,2,1,2,1,1,2
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132 |
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1179818,2,1,1,1,2,1,3,1,1,2
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133 |
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1180194,5,10,8,10,8,10,3,6,3,4
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134 |
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1180523,3,1,1,1,2,1,2,2,1,2
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135 |
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1180831,3,1,1,1,3,1,2,1,1,2
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136 |
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1181356,5,1,1,1,2,2,3,3,1,2
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137 |
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1182404,4,1,1,1,2,1,2,1,1,2
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138 |
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1182410,3,1,1,1,2,1,1,1,1,2
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139 |
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1183240,4,1,2,1,2,1,2,1,1,2
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140 |
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1183246,1,1,1,1,1,?,2,1,1,2
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141 |
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1183516,3,1,1,1,2,1,1,1,1,2
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142 |
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1183911,2,1,1,1,2,1,1,1,1,2
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143 |
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1183983,9,5,5,4,4,5,4,3,3,4
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144 |
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1184184,1,1,1,1,2,5,1,1,1,2
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145 |
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1184241,2,1,1,1,2,1,2,1,1,2
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146 |
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1184840,1,1,3,1,2,?,2,1,1,2
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147 |
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1185609,3,4,5,2,6,8,4,1,1,4
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148 |
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1185610,1,1,1,1,3,2,2,1,1,2
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1187457,3,1,1,3,8,1,5,8,1,2
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1187805,8,8,7,4,10,10,7,8,7,4
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1188472,1,1,1,1,1,1,3,1,1,2
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152 |
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1189266,7,2,4,1,6,10,5,4,3,4
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153 |
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1189286,10,10,8,6,4,5,8,10,1,4
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154 |
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1190394,4,1,1,1,2,3,1,1,1,2
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1190485,1,1,1,1,2,1,1,1,1,2
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156 |
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1192325,5,5,5,6,3,10,3,1,1,4
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157 |
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1193091,1,2,2,1,2,1,2,1,1,2
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158 |
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1193210,2,1,1,1,2,1,3,1,1,2
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159 |
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1193683,1,1,2,1,3,?,1,1,1,2
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160 |
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1196295,9,9,10,3,6,10,7,10,6,4
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161 |
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1196915,10,7,7,4,5,10,5,7,2,4
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162 |
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1197080,4,1,1,1,2,1,3,2,1,2
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163 |
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1197270,3,1,1,1,2,1,3,1,1,2
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164 |
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1197440,1,1,1,2,1,3,1,1,7,2
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165 |
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1197510,5,1,1,1,2,?,3,1,1,2
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166 |
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1197979,4,1,1,1,2,2,3,2,1,2
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167 |
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168 |
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1198128,10,8,10,10,6,1,3,1,10,4
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169 |
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1198641,3,1,1,1,2,1,3,1,1,2
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170 |
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172 |
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174 |
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176 |
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179 |
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180 |
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183 |
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187 |
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188 |
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194 |
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210 |
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211 |
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212 |
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213 |
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214 |
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1221863,10,10,10,10,7,10,7,10,4,4
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215 |
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216 |
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218 |
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219 |
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221 |
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222 |
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223 |
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224 |
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225 |
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229 |
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230 |
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1230175,10,10,10,3,10,10,9,10,1,4
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232 |
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1231387,6,8,7,5,6,8,8,9,2,4
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233 |
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1231706,8,4,6,3,3,1,4,3,1,2
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234 |
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236 |
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1241232,3,1,4,1,2,?,3,1,1,2
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237 |
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1241559,10,8,8,2,8,10,4,8,10,4
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1241679,9,8,8,5,6,2,4,10,4,4
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1287775,5,1,1,2,2,2,3,1,1,2
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144888,8,10,10,8,5,10,7,8,1,4
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248 |
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145447,8,4,4,1,2,9,3,3,1,4
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249 |
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167528,4,1,1,1,2,1,3,6,1,2
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250 |
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169356,3,1,1,1,2,?,3,1,1,2
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183913,1,2,2,1,2,1,1,1,1,2
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252 |
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191250,10,4,4,10,2,10,5,3,3,4
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253 |
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1017023,6,3,3,5,3,10,3,5,3,2
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254 |
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255 |
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256 |
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1168736,5,6,6,2,4,10,3,6,1,4
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1182404,3,1,1,1,2,1,1,1,1,2
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258 |
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1182404,3,1,1,1,2,1,2,1,1,2
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259 |
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260 |
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242970,5,7,7,1,5,8,3,4,1,2
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261 |
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255644,10,5,8,10,3,10,5,1,3,4
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262 |
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263538,5,10,10,6,10,10,10,6,5,4
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263 |
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274137,8,8,9,4,5,10,7,8,1,4
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264 |
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303213,10,4,4,10,6,10,5,5,1,4
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265 |
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314428,7,9,4,10,10,3,5,3,3,4
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266 |
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1182404,5,1,4,1,2,1,3,2,1,2
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267 |
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1198641,10,10,6,3,3,10,4,3,2,4
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268 |
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320675,3,3,5,2,3,10,7,1,1,4
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269 |
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324427,10,8,8,2,3,4,8,7,8,4
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270 |
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385103,1,1,1,1,2,1,3,1,1,2
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271 |
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390840,8,4,7,1,3,10,3,9,2,4
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272 |
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411453,5,1,1,1,2,1,3,1,1,2
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273 |
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320675,3,3,5,2,3,10,7,1,1,4
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274 |
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428903,7,2,4,1,3,4,3,3,1,4
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275 |
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431495,3,1,1,1,2,1,3,2,1,2
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276 |
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432809,3,1,3,1,2,?,2,1,1,2
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277 |
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434518,3,1,1,1,2,1,2,1,1,2
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278 |
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452264,1,1,1,1,2,1,2,1,1,2
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279 |
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456282,1,1,1,1,2,1,3,1,1,2
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280 |
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476903,10,5,7,3,3,7,3,3,8,4
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281 |
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486283,3,1,1,1,2,1,3,1,1,2
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282 |
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486662,2,1,1,2,2,1,3,1,1,2
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283 |
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488173,1,4,3,10,4,10,5,6,1,4
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284 |
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492268,10,4,6,1,2,10,5,3,1,4
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285 |
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508234,7,4,5,10,2,10,3,8,2,4
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286 |
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527363,8,10,10,10,8,10,10,7,3,4
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287 |
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529329,10,10,10,10,10,10,4,10,10,4
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288 |
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535331,3,1,1,1,3,1,2,1,1,2
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289 |
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543558,6,1,3,1,4,5,5,10,1,4
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290 |
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555977,5,6,6,8,6,10,4,10,4,4
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291 |
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560680,1,1,1,1,2,1,1,1,1,2
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292 |
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561477,1,1,1,1,2,1,3,1,1,2
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293 |
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563649,8,8,8,1,2,?,6,10,1,4
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294 |
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601265,10,4,4,6,2,10,2,3,1,4
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295 |
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606140,1,1,1,1,2,?,2,1,1,2
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296 |
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606722,5,5,7,8,6,10,7,4,1,4
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297 |
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616240,5,3,4,3,4,5,4,7,1,2
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298 |
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61634,5,4,3,1,2,?,2,3,1,2
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299 |
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625201,8,2,1,1,5,1,1,1,1,2
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300 |
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63375,9,1,2,6,4,10,7,7,2,4
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301 |
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635844,8,4,10,5,4,4,7,10,1,4
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302 |
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636130,1,1,1,1,2,1,3,1,1,2
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303 |
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640744,10,10,10,7,9,10,7,10,10,4
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304 |
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646904,1,1,1,1,2,1,3,1,1,2
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305 |
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653777,8,3,4,9,3,10,3,3,1,4
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306 |
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659642,10,8,4,4,4,10,3,10,4,4
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307 |
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666090,1,1,1,1,2,1,3,1,1,2
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308 |
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666942,1,1,1,1,2,1,3,1,1,2
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309 |
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667204,7,8,7,6,4,3,8,8,4,4
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310 |
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673637,3,1,1,1,2,5,5,1,1,2
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311 |
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684955,2,1,1,1,3,1,2,1,1,2
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312 |
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688033,1,1,1,1,2,1,1,1,1,2
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313 |
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691628,8,6,4,10,10,1,3,5,1,4
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314 |
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693702,1,1,1,1,2,1,1,1,1,2
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315 |
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704097,1,1,1,1,1,1,2,1,1,2
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316 |
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704168,4,6,5,6,7,?,4,9,1,2
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317 |
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706426,5,5,5,2,5,10,4,3,1,4
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318 |
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709287,6,8,7,8,6,8,8,9,1,4
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319 |
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718641,1,1,1,1,5,1,3,1,1,2
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320 |
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721482,4,4,4,4,6,5,7,3,1,2
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321 |
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730881,7,6,3,2,5,10,7,4,6,4
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322 |
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733639,3,1,1,1,2,?,3,1,1,2
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323 |
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733639,3,1,1,1,2,1,3,1,1,2
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324 |
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733823,5,4,6,10,2,10,4,1,1,4
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325 |
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740492,1,1,1,1,2,1,3,1,1,2
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326 |
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743348,3,2,2,1,2,1,2,3,1,2
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327 |
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752904,10,1,1,1,2,10,5,4,1,4
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328 |
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756136,1,1,1,1,2,1,2,1,1,2
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329 |
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760001,8,10,3,2,6,4,3,10,1,4
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330 |
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760239,10,4,6,4,5,10,7,1,1,4
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331 |
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76389,10,4,7,2,2,8,6,1,1,4
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332 |
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764974,5,1,1,1,2,1,3,1,2,2
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333 |
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770066,5,2,2,2,2,1,2,2,1,2
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568 |
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1334071,4,1,1,1,2,3,2,1,1,2
|
569 |
+
1343068,8,4,4,1,6,10,2,5,2,4
|
570 |
+
1343374,10,10,8,10,6,5,10,3,1,4
|
571 |
+
1344121,8,10,4,4,8,10,8,2,1,4
|
572 |
+
142932,7,6,10,5,3,10,9,10,2,4
|
573 |
+
183936,3,1,1,1,2,1,2,1,1,2
|
574 |
+
324382,1,1,1,1,2,1,2,1,1,2
|
575 |
+
378275,10,9,7,3,4,2,7,7,1,4
|
576 |
+
385103,5,1,2,1,2,1,3,1,1,2
|
577 |
+
690557,5,1,1,1,2,1,2,1,1,2
|
578 |
+
695091,1,1,1,1,2,1,2,1,1,2
|
579 |
+
695219,1,1,1,1,2,1,2,1,1,2
|
580 |
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824249,1,1,1,1,2,1,3,1,1,2
|
581 |
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871549,5,1,2,1,2,1,2,1,1,2
|
582 |
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878358,5,7,10,6,5,10,7,5,1,4
|
583 |
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1107684,6,10,5,5,4,10,6,10,1,4
|
584 |
+
1115762,3,1,1,1,2,1,1,1,1,2
|
585 |
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1217717,5,1,1,6,3,1,1,1,1,2
|
586 |
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1239420,1,1,1,1,2,1,1,1,1,2
|
587 |
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1254538,8,10,10,10,6,10,10,10,1,4
|
588 |
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1261751,5,1,1,1,2,1,2,2,1,2
|
589 |
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1268275,9,8,8,9,6,3,4,1,1,4
|
590 |
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1272166,5,1,1,1,2,1,1,1,1,2
|
591 |
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1294261,4,10,8,5,4,1,10,1,1,4
|
592 |
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1295529,2,5,7,6,4,10,7,6,1,4
|
593 |
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1298484,10,3,4,5,3,10,4,1,1,4
|
594 |
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1311875,5,1,2,1,2,1,1,1,1,2
|
595 |
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1315506,4,8,6,3,4,10,7,1,1,4
|
596 |
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1320141,5,1,1,1,2,1,2,1,1,2
|
597 |
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1325309,4,1,2,1,2,1,2,1,1,2
|
598 |
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1333063,5,1,3,1,2,1,3,1,1,2
|
599 |
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1333495,3,1,1,1,2,1,2,1,1,2
|
600 |
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1334659,5,2,4,1,1,1,1,1,1,2
|
601 |
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1336798,3,1,1,1,2,1,2,1,1,2
|
602 |
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1344449,1,1,1,1,1,1,2,1,1,2
|
603 |
+
1350568,4,1,1,1,2,1,2,1,1,2
|
604 |
+
1352663,5,4,6,8,4,1,8,10,1,4
|
605 |
+
188336,5,3,2,8,5,10,8,1,2,4
|
606 |
+
352431,10,5,10,3,5,8,7,8,3,4
|
607 |
+
353098,4,1,1,2,2,1,1,1,1,2
|
608 |
+
411453,1,1,1,1,2,1,1,1,1,2
|
609 |
+
557583,5,10,10,10,10,10,10,1,1,4
|
610 |
+
636375,5,1,1,1,2,1,1,1,1,2
|
611 |
+
736150,10,4,3,10,3,10,7,1,2,4
|
612 |
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803531,5,10,10,10,5,2,8,5,1,4
|
613 |
+
822829,8,10,10,10,6,10,10,10,10,4
|
614 |
+
1016634,2,3,1,1,2,1,2,1,1,2
|
615 |
+
1031608,2,1,1,1,1,1,2,1,1,2
|
616 |
+
1041043,4,1,3,1,2,1,2,1,1,2
|
617 |
+
1042252,3,1,1,1,2,1,2,1,1,2
|
618 |
+
1057067,1,1,1,1,1,?,1,1,1,2
|
619 |
+
1061990,4,1,1,1,2,1,2,1,1,2
|
620 |
+
1073836,5,1,1,1,2,1,2,1,1,2
|
621 |
+
1083817,3,1,1,1,2,1,2,1,1,2
|
622 |
+
1096352,6,3,3,3,3,2,6,1,1,2
|
623 |
+
1140597,7,1,2,3,2,1,2,1,1,2
|
624 |
+
1149548,1,1,1,1,2,1,1,1,1,2
|
625 |
+
1174009,5,1,1,2,1,1,2,1,1,2
|
626 |
+
1183596,3,1,3,1,3,4,1,1,1,2
|
627 |
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1190386,4,6,6,5,7,6,7,7,3,4
|
628 |
+
1190546,2,1,1,1,2,5,1,1,1,2
|
629 |
+
1213273,2,1,1,1,2,1,1,1,1,2
|
630 |
+
1218982,4,1,1,1,2,1,1,1,1,2
|
631 |
+
1225382,6,2,3,1,2,1,1,1,1,2
|
632 |
+
1235807,5,1,1,1,2,1,2,1,1,2
|
633 |
+
1238777,1,1,1,1,2,1,1,1,1,2
|
634 |
+
1253955,8,7,4,4,5,3,5,10,1,4
|
635 |
+
1257366,3,1,1,1,2,1,1,1,1,2
|
636 |
+
1260659,3,1,4,1,2,1,1,1,1,2
|
637 |
+
1268952,10,10,7,8,7,1,10,10,3,4
|
638 |
+
1275807,4,2,4,3,2,2,2,1,1,2
|
639 |
+
1277792,4,1,1,1,2,1,1,1,1,2
|
640 |
+
1277792,5,1,1,3,2,1,1,1,1,2
|
641 |
+
1285722,4,1,1,3,2,1,1,1,1,2
|
642 |
+
1288608,3,1,1,1,2,1,2,1,1,2
|
643 |
+
1290203,3,1,1,1,2,1,2,1,1,2
|
644 |
+
1294413,1,1,1,1,2,1,1,1,1,2
|
645 |
+
1299596,2,1,1,1,2,1,1,1,1,2
|
646 |
+
1303489,3,1,1,1,2,1,2,1,1,2
|
647 |
+
1311033,1,2,2,1,2,1,1,1,1,2
|
648 |
+
1311108,1,1,1,3,2,1,1,1,1,2
|
649 |
+
1315807,5,10,10,10,10,2,10,10,10,4
|
650 |
+
1318671,3,1,1,1,2,1,2,1,1,2
|
651 |
+
1319609,3,1,1,2,3,4,1,1,1,2
|
652 |
+
1323477,1,2,1,3,2,1,2,1,1,2
|
653 |
+
1324572,5,1,1,1,2,1,2,2,1,2
|
654 |
+
1324681,4,1,1,1,2,1,2,1,1,2
|
655 |
+
1325159,3,1,1,1,2,1,3,1,1,2
|
656 |
+
1326892,3,1,1,1,2,1,2,1,1,2
|
657 |
+
1330361,5,1,1,1,2,1,2,1,1,2
|
658 |
+
1333877,5,4,5,1,8,1,3,6,1,2
|
659 |
+
1334015,7,8,8,7,3,10,7,2,3,4
|
660 |
+
1334667,1,1,1,1,2,1,1,1,1,2
|
661 |
+
1339781,1,1,1,1,2,1,2,1,1,2
|
662 |
+
1339781,4,1,1,1,2,1,3,1,1,2
|
663 |
+
13454352,1,1,3,1,2,1,2,1,1,2
|
664 |
+
1345452,1,1,3,1,2,1,2,1,1,2
|
665 |
+
1345593,3,1,1,3,2,1,2,1,1,2
|
666 |
+
1347749,1,1,1,1,2,1,1,1,1,2
|
667 |
+
1347943,5,2,2,2,2,1,1,1,2,2
|
668 |
+
1348851,3,1,1,1,2,1,3,1,1,2
|
669 |
+
1350319,5,7,4,1,6,1,7,10,3,4
|
670 |
+
1350423,5,10,10,8,5,5,7,10,1,4
|
671 |
+
1352848,3,10,7,8,5,8,7,4,1,4
|
672 |
+
1353092,3,2,1,2,2,1,3,1,1,2
|
673 |
+
1354840,2,1,1,1,2,1,3,1,1,2
|
674 |
+
1354840,5,3,2,1,3,1,1,1,1,2
|
675 |
+
1355260,1,1,1,1,2,1,2,1,1,2
|
676 |
+
1365075,4,1,4,1,2,1,1,1,1,2
|
677 |
+
1365328,1,1,2,1,2,1,2,1,1,2
|
678 |
+
1368267,5,1,1,1,2,1,1,1,1,2
|
679 |
+
1368273,1,1,1,1,2,1,1,1,1,2
|
680 |
+
1368882,2,1,1,1,2,1,1,1,1,2
|
681 |
+
1369821,10,10,10,10,5,10,10,10,7,4
|
682 |
+
1371026,5,10,10,10,4,10,5,6,3,4
|
683 |
+
1371920,5,1,1,1,2,1,3,2,1,2
|
684 |
+
466906,1,1,1,1,2,1,1,1,1,2
|
685 |
+
466906,1,1,1,1,2,1,1,1,1,2
|
686 |
+
534555,1,1,1,1,2,1,1,1,1,2
|
687 |
+
536708,1,1,1,1,2,1,1,1,1,2
|
688 |
+
566346,3,1,1,1,2,1,2,3,1,2
|
689 |
+
603148,4,1,1,1,2,1,1,1,1,2
|
690 |
+
654546,1,1,1,1,2,1,1,1,8,2
|
691 |
+
654546,1,1,1,3,2,1,1,1,1,2
|
692 |
+
695091,5,10,10,5,4,5,4,4,1,4
|
693 |
+
714039,3,1,1,1,2,1,1,1,1,2
|
694 |
+
763235,3,1,1,1,2,1,2,1,2,2
|
695 |
+
776715,3,1,1,1,3,2,1,1,1,2
|
696 |
+
841769,2,1,1,1,2,1,1,1,1,2
|
697 |
+
888820,5,10,10,3,7,3,8,10,2,4
|
698 |
+
897471,4,8,6,4,3,4,10,6,1,4
|
699 |
+
897471,4,8,8,5,4,5,10,4,1,4
|
breast.py
ADDED
@@ -0,0 +1,129 @@
|
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|
|
|
|
1 |
+
"""Breast Dataset"""
|
2 |
+
|
3 |
+
from typing import List
|
4 |
+
|
5 |
+
import datasets
|
6 |
+
|
7 |
+
import pandas
|
8 |
+
|
9 |
+
|
10 |
+
VERSION = datasets.Version("1.0.0")
|
11 |
+
_ORIGINAL_FEATURE_NAMES = [
|
12 |
+
"id",
|
13 |
+
"clump thickness",
|
14 |
+
"uniformity of cell size",
|
15 |
+
"uniformity of cell shape",
|
16 |
+
"marginal adhesion",
|
17 |
+
"single epithelial cell size",
|
18 |
+
"bare nuclei",
|
19 |
+
"bland chromatin",
|
20 |
+
"normal nucleoli",
|
21 |
+
"mitoses",
|
22 |
+
"is_cancer"
|
23 |
+
]
|
24 |
+
_BASE_FEATURE_NAMES = [
|
25 |
+
"clump thickness",
|
26 |
+
"uniformity of cell size",
|
27 |
+
"uniformity of cell shape",
|
28 |
+
"marginal adhesion",
|
29 |
+
"single epithelial cell size",
|
30 |
+
"bare nuclei",
|
31 |
+
"bland chromatin",
|
32 |
+
"normal nucleoli",
|
33 |
+
"mitoses",
|
34 |
+
"is_cancer"
|
35 |
+
]
|
36 |
+
|
37 |
+
DESCRIPTION = "Breast dataset for cancer prediction."
|
38 |
+
_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29"
|
39 |
+
_URLS = ("https://huggingface.co/datasets/mstz/breast/raw/main/breast-cancer-wisconsin.data")
|
40 |
+
_CITATION = """
|
41 |
+
@article{wolberg1990multisurface,
|
42 |
+
title={Multisurface method of pattern separation for medical diagnosis applied to breast cytology.},
|
43 |
+
author={Wolberg, William H and Mangasarian, Olvi L},
|
44 |
+
journal={Proceedings of the national academy of sciences},
|
45 |
+
volume={87},
|
46 |
+
number={23},
|
47 |
+
pages={9193--9196},
|
48 |
+
year={1990},
|
49 |
+
publisher={National Acad Sciences}
|
50 |
+
}
|
51 |
+
"""
|
52 |
+
|
53 |
+
# Dataset info
|
54 |
+
urls_per_split = {
|
55 |
+
"train": "https://huggingface.co/datasets/mstz/breast/raw/main/breast-full.csv",
|
56 |
+
}
|
57 |
+
features_types_per_config = {
|
58 |
+
"encoding": {
|
59 |
+
"feature": datasets.Value("string"),
|
60 |
+
"original_value": datasets.Value("string"),
|
61 |
+
"encoded_value": datasets.Value("int8"),
|
62 |
+
},
|
63 |
+
|
64 |
+
"cancer": {
|
65 |
+
"clump thickness": datasets.Value("int8"),
|
66 |
+
"uniformity of cell size": datasets.Value("int8"),
|
67 |
+
"uniformity of cell shape": datasets.Value("int8"),
|
68 |
+
"marginal adhesion": datasets.Value("int8"),
|
69 |
+
"single epithelial cell size": datasets.Value("int8"),
|
70 |
+
"bare nuclei": datasets.Value("int8"),
|
71 |
+
"bland chromatin": datasets.Value("int8"),
|
72 |
+
"normal nucleoli": datasets.Value("int8"),
|
73 |
+
"mitoses": datasets.Value("int8"),
|
74 |
+
"is_cancer": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
|
75 |
+
}
|
76 |
+
|
77 |
+
}
|
78 |
+
features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
|
79 |
+
|
80 |
+
|
81 |
+
class BreastConfig(datasets.BuilderConfig):
|
82 |
+
def __init__(self, **kwargs):
|
83 |
+
super(BreastConfig, self).__init__(version=VERSION, **kwargs)
|
84 |
+
self.features = features_per_config[kwargs["name"]]
|
85 |
+
|
86 |
+
|
87 |
+
class Breast(datasets.GeneratorBasedBuilder):
|
88 |
+
# dataset versions
|
89 |
+
DEFAULT_CONFIG = "cancer"
|
90 |
+
BUILDER_CONFIGS = [
|
91 |
+
BreastConfig(name="cancer",
|
92 |
+
description="Encoding dictionaries for discrete features."),
|
93 |
+
]
|
94 |
+
|
95 |
+
|
96 |
+
def _info(self):
|
97 |
+
if self.config.name not in features_per_config:
|
98 |
+
raise ValueError(f"Unknown configuration: {self.config.name}")
|
99 |
+
|
100 |
+
info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
|
101 |
+
features=features_per_config[self.config.name])
|
102 |
+
|
103 |
+
return info
|
104 |
+
|
105 |
+
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
|
106 |
+
downloads = dl_manager.download_and_extract(urls_per_split)
|
107 |
+
|
108 |
+
return [
|
109 |
+
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}),
|
110 |
+
]
|
111 |
+
|
112 |
+
def _generate_examples(self, filepath: str):
|
113 |
+
data = pandas.read_csv(filepath, columns=_ORIGINAL_FEATURE_NAMES)
|
114 |
+
data = self.preprocess(data, config=self.config.name)
|
115 |
+
|
116 |
+
for row_id, row in data.iterrows():
|
117 |
+
data_row = dict(row)
|
118 |
+
|
119 |
+
yield row_id, data_row
|
120 |
+
|
121 |
+
def preprocess(self, data: pandas.DataFrame, config: str = "cancer") -> pandas.DataFrame:
|
122 |
+
data.drop("id", axis="columns", inplace=True)
|
123 |
+
|
124 |
+
data.columns = _BASE_FEATURE_NAMES
|
125 |
+
|
126 |
+
if config == "cancer":
|
127 |
+
return data
|
128 |
+
else:
|
129 |
+
raise ValueError(f"Unknown config: {config}")
|