Datasets:
Upload monks.py
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monks.py
CHANGED
@@ -157,7 +157,6 @@ class Monk(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, filepath: str):
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data = pandas.read_csv(filepath, header=None, sep=" ")
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data = self.preprocess(data, config=self.config.name)
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print(data.head())
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for row_id, row in data.iterrows():
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data_row = dict(row)
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@@ -165,7 +164,6 @@ class Monk(datasets.GeneratorBasedBuilder):
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yield row_id, data_row
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def preprocess(self, data: pandas.DataFrame, config: str = "monks1") -> pandas.DataFrame:
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print(data.head())
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data.columns = _ORIGINAL_FEATURE_NAMES
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data.drop("ID", axis="columns", inplace=True)
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data.drop("empty", axis="columns", inplace=True)
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@@ -174,6 +172,7 @@ class Monk(datasets.GeneratorBasedBuilder):
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data.columns = _BASE_FEATURE_NAMES
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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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def _generate_examples(self, filepath: str):
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data = pandas.read_csv(filepath, header=None, sep=" ")
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data = self.preprocess(data, config=self.config.name)
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for row_id, row in data.iterrows():
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data_row = dict(row)
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yield row_id, data_row
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def preprocess(self, data: pandas.DataFrame, config: str = "monks1") -> pandas.DataFrame:
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data.columns = _ORIGINAL_FEATURE_NAMES
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data.drop("ID", axis="columns", inplace=True)
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data.drop("empty", axis="columns", inplace=True)
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data.columns = _BASE_FEATURE_NAMES
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for feature in _ENCODING_DICS:
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print(feature)
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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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