mastergopote44
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Long-Term-Care-Aggregated-Data.py
CHANGED
@@ -121,37 +121,27 @@ class LongTermCareAggregatedData(datasets.GeneratorBasedBuilder):
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citation="Please cite this dataset as: Society of Actuaries (SOA). (2020). Long Term Care Insurance Aggregate Experience Data, 2000-2016."
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)
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download(_URLS)
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return [
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datasets.SplitGenerator(
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name=
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gen_kwargs={
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"data_file": downloaded_files["train_incidence"],
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"split": "incidence",
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},
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),
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datasets.SplitGenerator(
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name="validation_incidence",
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gen_kwargs={
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"data_file": downloaded_files["validation_incidence"],
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"split": "incidence",
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},
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),
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datasets.SplitGenerator(
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name="train_termination",
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gen_kwargs={
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"data_file":
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"split":
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},
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),
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datasets.SplitGenerator(
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name=
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gen_kwargs={
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"data_file":
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"split":
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},
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),
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]
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@@ -168,23 +158,23 @@ class LongTermCareAggregatedData(datasets.GeneratorBasedBuilder):
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feature_dict = {column: row[column] for column in feature_columns if column in dataframe.columns}
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yield idx, feature_dict
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def _get_feature_columns_by_config(self):
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citation="Please cite this dataset as: Society of Actuaries (SOA). (2020). Long Term Care Insurance Aggregate Experience Data, 2000-2016."
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)
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download(_URLS)
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# 基于配置名确定文件路径
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train_file = downloaded_files[f"train_{self.config.name}"]
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validation_file = downloaded_files[f"validation_{self.config.name}"]
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_file": train_file,
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"split": self.config.name, # 使用配置名作为 split 参数(如果需要)
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"data_file": validation_file,
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"split": self.config.name, # 使用配置名作为 split 参数(如果需要)
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},
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),
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]
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feature_dict = {column: row[column] for column in feature_columns if column in dataframe.columns}
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yield idx, feature_dict
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def _get_feature_columns_by_config(self):
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if self.config.name == "incidence":
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return [
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"Group_Indicator", "Gender", "Issue_Age_Bucket", "Incurred_Age_Bucket",
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"Issue_Year_Bucket", "Policy_Year", "Marital_Status", "Premium_Class",
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"Underwriting_Type", "Coverage_Type_Bucket", "Tax_Qualification_Status",
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"Inflation_Rider", "Rate_Increase_Flag", "Restoration_of_Benefits",
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"NH_Orig_Daily_Ben_Bucket", "ALF_Orig_Daily_Ben_Bucket", "HHC_Orig_Daily_Ben_Bucket",
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"NH_Ben_Period_Bucket", "ALF_Ben_Period_Bucket", "HHC_Ben_Period_Bucket",
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"NH_EP_Bucket", "ALF_EP_Bucket", "HHC_EP_Bucket", "Region",
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"Active_Exposure", "Total_Exposure", "Claim_Count", "Count_NH", "Count_ALF", "Count_HHC", "Count_Unk",
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]
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elif self.config.name == "termination":
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return [
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"Gender", "Incurred_Age_Bucket", "Incurred_Year_Bucket", "Claim_Type",
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"Region", "Diagnosis_Category", "Claim_Duration", "Exposure", "Deaths",
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"Recovery", "Terminations", "Benefit_Expiry", "Others_Terminations",
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]
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else:
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raise ValueError(f"Config name not recognized: {self.config.name}")
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