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Datasets:
mstz
/
adult

Tasks:
Tabular Classification
Languages:
English
Size Categories:
10K<n<100K
Tags:
adult
tabular_classification
binary_classification
multiclass_classification
UCI
License:
Dataset card Viewer Files Community
mstz commited on
Commit
211dc42
•
1 Parent(s): e9f8524

Update adult.py

Browse files
Files changed (1) hide show
  1. adult.py +3 -3
adult.py CHANGED
@@ -111,7 +111,7 @@ features_types_per_config = {
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  "capital_loss": datasets.Value("float64"),
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  "education": datasets.Value("int8"),
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  "final_weight": datasets.Value("int64"),
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- "hours_per_week": datasets.Value("int64"),
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  "marital_status": datasets.Value("string"),
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  "native_country": datasets.Value("string"),
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  "occupation": datasets.Value("string"),
@@ -127,7 +127,7 @@ features_types_per_config = {
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  "capital_loss": datasets.Value("float64"),
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  "education": datasets.Value("int64"),
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  "final_weight": datasets.Value("int64"),
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- "hours_per_week": datasets.Value("int64"),
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  "marital_status": datasets.Value("string"),
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  "native_country": datasets.Value("string"),
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  "occupation": datasets.Value("string"),
@@ -142,7 +142,7 @@ features_types_per_config = {
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  "capital_loss": datasets.Value("float64"),
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  "education": datasets.Value("int64"),
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  "final_weight": datasets.Value("int64"),
145
- "hours_per_week": datasets.Value("int64"),
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  "marital_status": datasets.Value("string"),
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  "native_country": datasets.Value("string"),
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  "occupation": datasets.Value("string"),
 
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  "capital_loss": datasets.Value("float64"),
112
  "education": datasets.Value("int8"),
113
  "final_weight": datasets.Value("int64"),
114
+ "hours_worked_per_week": datasets.Value("int64"),
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  "marital_status": datasets.Value("string"),
116
  "native_country": datasets.Value("string"),
117
  "occupation": datasets.Value("string"),
 
127
  "capital_loss": datasets.Value("float64"),
128
  "education": datasets.Value("int64"),
129
  "final_weight": datasets.Value("int64"),
130
+ "hours_worked_per_week": datasets.Value("int64"),
131
  "marital_status": datasets.Value("string"),
132
  "native_country": datasets.Value("string"),
133
  "occupation": datasets.Value("string"),
 
142
  "capital_loss": datasets.Value("float64"),
143
  "education": datasets.Value("int64"),
144
  "final_weight": datasets.Value("int64"),
145
+ "hours_worked_per_week": datasets.Value("int64"),
146
  "marital_status": datasets.Value("string"),
147
  "native_country": datasets.Value("string"),
148
  "occupation": datasets.Value("string"),