Datasets:
Upload lrs.py
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lrs.py
CHANGED
@@ -1140,6 +1140,7 @@ class Lrs(datasets.GeneratorBasedBuilder):
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data.drop("ID-type", axis="columns", inplace=True)
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data = data[list(features_types_per_config["lrs"].keys())].infer_objects()
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data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x if x < 10 else x // 10)
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if self.config.name == "lrs_0":
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data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 0 else 0)
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@@ -1162,7 +1163,7 @@ class Lrs(datasets.GeneratorBasedBuilder):
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print("Done w/ preprocessing\n\n\n\n\n")
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print(data.dtypes.values)
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-
print(data.lrs_class.unique())
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print("Done w/ preprocessing\n\n\n\n\n")
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data.drop("ID-type", axis="columns", inplace=True)
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data = data[list(features_types_per_config["lrs"].keys())].infer_objects()
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data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x if x < 10 else x // 10)
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+
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x - 1)
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if self.config.name == "lrs_0":
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data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 0 else 0)
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print("Done w/ preprocessing\n\n\n\n\n")
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print(data.dtypes.values)
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print(data.lrs_class.unique().size)
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print("Done w/ preprocessing\n\n\n\n\n")
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