update essay origin
Browse files- aes_enem_dataset.py +12 -12
aes_enem_dataset.py
CHANGED
@@ -340,14 +340,14 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
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if self.config.name == "sourceAWithGraders":
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grader_a, grader_b = self._parse_graders_data(dirname)
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grader_a_data = pd.merge(
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-
train_df[["id", "id_prompt"]],
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grader_a,
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on=["id", "id_prompt"],
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how="inner",
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)
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grader_b_data = pd.merge(
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train_df[["id", "id_prompt"]],
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grader_b,
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on=["id", "id_prompt"],
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how="inner",
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)
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@@ -355,14 +355,14 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
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train_df = pd.concat([train_df, grader_b_data])
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grader_a_data = pd.merge(
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val_df[["id", "id_prompt"]],
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grader_a,
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on=["id", "id_prompt"],
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how="inner",
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)
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grader_b_data = pd.merge(
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val_df[["id", "id_prompt"]],
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grader_b,
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on=["id", "id_prompt"],
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how="inner",
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)
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@@ -370,14 +370,14 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
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val_df = pd.concat([val_df, grader_b_data])
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grader_a_data = pd.merge(
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test_df[["id", "id_prompt"]],
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grader_a,
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on=["id", "id_prompt"],
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how="inner",
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)
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grader_b_data = pd.merge(
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test_df[["id", "id_prompt"]],
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grader_b,
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on=["id", "id_prompt"],
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how="inner",
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)
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if self.config.name == "sourceAWithGraders":
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grader_a, grader_b = self._parse_graders_data(dirname)
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grader_a_data = pd.merge(
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train_df[["id", "id_prompt","essay"]],
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grader_a.drop(columns=['essay']),
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on=["id", "id_prompt"],
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how="inner",
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)
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grader_b_data = pd.merge(
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train_df[["id", "id_prompt","essay"]],
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grader_b.drop(columns=['essay']),
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on=["id", "id_prompt"],
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how="inner",
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)
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train_df = pd.concat([train_df, grader_b_data])
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grader_a_data = pd.merge(
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val_df[["id", "id_prompt","essay"]],
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grader_a.drop(columns=['essay']),
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on=["id", "id_prompt"],
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how="inner",
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)
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grader_b_data = pd.merge(
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val_df[["id", "id_prompt","essay"]],
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grader_b.drop(columns=['essay']),
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on=["id", "id_prompt"],
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how="inner",
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)
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val_df = pd.concat([val_df, grader_b_data])
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grader_a_data = pd.merge(
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test_df[["id", "id_prompt","essay"]],
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+
grader_a.drop(columns=['essay']),
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on=["id", "id_prompt"],
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how="inner",
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)
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grader_b_data = pd.merge(
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+
test_df[["id", "id_prompt","essay"]],
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+
grader_b.drop(columns=['essay']),
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on=["id", "id_prompt"],
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how="inner",
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)
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