Datasets:
Upload german.py
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german.py
CHANGED
@@ -197,6 +197,7 @@ class Breast(datasets.GeneratorBasedBuilder):
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data.loc[:, "job_status"] = data.job_status.apply(self.encode_job_status)
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data.loc[:, "marital_status"] = data.personal_status_and_sex.apply(self.encode_marital_status)
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data.loc[:, "sex"] = data.personal_status_and_sex.apply(self.encode_sex)
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data.loc[:, "loan_granted"] = data.loan_granted.apply(lambda x: x - 1)
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data.drop("personal_status_and_sex", axis="columns", inplace=True)
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@@ -464,3 +465,39 @@ class Breast(datasets.GeneratorBasedBuilder):
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0: "A201",
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1: "A202",
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}
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data.loc[:, "job_status"] = data.job_status.apply(self.encode_job_status)
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data.loc[:, "marital_status"] = data.personal_status_and_sex.apply(self.encode_marital_status)
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data.loc[:, "sex"] = data.personal_status_and_sex.apply(self.encode_sex)
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data.loc[:, "loan_purpose"] = data.loan_purpose.apply(self.encode_loan_purpose)
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data.loc[:, "loan_granted"] = data.loan_granted.apply(lambda x: x - 1)
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data.drop("personal_status_and_sex", axis="columns", inplace=True)
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0: "A201",
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1: "A202",
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}
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def encode_loan_purpose(self, status):
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return self.loan_purpose_encode_dic()[status]
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def loan_purpose_encode_dic(self):
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return {
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"A40": "new car",
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"A41": "used car",
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"A42": "furniture/equipment",
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"A43": "radio/television",
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"A44": "domestic appliances",
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"A45": "repairs",
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"A46": "education",
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"A47": "vacation ",
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"A48": "retraining",
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"A49": "business",
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"A410": "others"
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}
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def decode_loan_purpose(self, code):
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return self.loan_purpose_decode_dic()[code]
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def loan_purpose_decode_dic(self):
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return {
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"new car": "A40",
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"used car": "A41",
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"furniture/equipment": "A42",
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"radio/television": "A43",
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"domestic appliances": "A44",
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"repairs": "A45",
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"education": "A46",
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"vacation ": "A47",
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"retraining": "A48",
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"business": "A49",
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"others": "A410"
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}
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