mstz commited on
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9f5b9a8
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1 Parent(s): 606d239

Upload pums.py

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  1. pums.py +47 -1
pums.py CHANGED
@@ -16,6 +16,50 @@ _ENCODING_DICS = {
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  "50000+.": 1
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  }
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  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  DESCRIPTION = "Pums dataset."
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  _HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/116/us+census+data+1990"
@@ -108,7 +152,7 @@ class Pums(datasets.GeneratorBasedBuilder):
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  ]
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  def _generate_examples(self, filepath: str):
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- data = pandas.read_csv(filepath)
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  data = self.preprocess(data)
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  for row_id, row in data.iterrows():
@@ -117,6 +161,8 @@ class Pums(datasets.GeneratorBasedBuilder):
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  yield row_id, data_row
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  def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
 
 
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  for feature in _ENCODING_DICS:
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  encoding_function = partial(self.encode, feature)
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  data.loc[:, feature] = data[feature].apply(encoding_function)
 
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  "50000+.": 1
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  }
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  }
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+ _BASE_FEATURE_NAMES = [
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+ "age",
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+ "class_of_worker",
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+ "detailed_industry_recode",
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+ "detailed_occupation_recode",
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+ "education",
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+ "wage_per_hour",
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+ "enroll_in_edu_inst_last_wk",
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+ "marital_stat",
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+ "major_industry_code",
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+ "major_occupation_code",
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+ "race",
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+ "hispanic_origin",
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+ "sex",
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+ "member_of_a_labor_union",
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+ "reason_for_unemployment",
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+ "full_or_part_time_employment_stat",
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+ "capital_gains",
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+ "capital_losses",
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+ "dividends_from_stocks",
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+ "tax_filer_stat",
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+ "region_of_previous_residence",
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+ "state_of_previous_residence",
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+ "detailed_household_and_family_stat",
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+ "detailed_household_summary_in_household",
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+ "instance_weight",
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+ "migration_code_change_in_msa",
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+ "migration_code_change_in_reg",
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+ "migration_code_move_within_reg",
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+ "live_in_this_house_1_year_ago",
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+ "migration_prev_res_in_sunbelt",
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+ "num_persons_worked_for_employer",
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+ "family_members_under_18",
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+ "country_of_birth_father",
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+ "country_of_birth_mother",
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+ "country_of_birth_self",
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+ "citizenship",
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+ "own_business_or_self_employed",
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+ "fill_inc_questionnaire_for_veteran_admin",
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+ "veterans_benefits",
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+ "weeks_worked_in_year",
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+ "year",
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+ "class",
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+ ]
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  DESCRIPTION = "Pums dataset."
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  _HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/116/us+census+data+1990"
 
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  ]
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  def _generate_examples(self, filepath: str):
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+ data = pandas.read_csv(filepath, header=None)
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  data = self.preprocess(data)
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  for row_id, row in data.iterrows():
 
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  yield row_id, data_row
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  def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
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+ data.columns = _BASE_FEATURE_NAMES
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+
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  for feature in _ENCODING_DICS:
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  encoding_function = partial(self.encode, feature)
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  data.loc[:, feature] = data[feature].apply(encoding_function)