Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Portuguese
Size:
1K - 10K
License:
Andre Barbosa
commited on
Commit
·
5f8ff46
1
Parent(s):
f8079f0
remove grades_thousand from JBCS split
Browse files- aes_enem_dataset.py +2 -19
aes_enem_dataset.py
CHANGED
@@ -504,17 +504,10 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
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paths_dict={config_name_source_a: extracted_files["sourceA"]},
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config_name=config_name_source_a,
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)
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grades_thousand_filedir = (
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Path(extracted_files["grades_thousand"]) / "scrapedGradesThousand"
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)
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self._post_process_dataframe(html_parser.sourceA)
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self._generate_splits(html_parser.sourceA, config_name=config_name_source_a)
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folder_sourceA = Path(html_parser.sourceA).parent
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for split in ["train", "validation", "test"]:
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grades_thousand_df = pd.read_csv(
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grades_thousand_filedir / f"{split}.csv"
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)
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grades_thousand_df["reference"] = "grade_thousand_website"
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sourceA = pd.read_csv(folder_sourceA / f"{split}.csv")
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common_columns = [
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"id",
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@@ -530,18 +523,8 @@ class AesEnemDataset(datasets.GeneratorBasedBuilder):
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sourceA.reference.isin(["grader_a", "grader_b"])
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]
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combined_split = combined_split.rename(columns={"essay": "essay_text"})
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-
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].apply(
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lambda original_text: pd.Series(
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self._extract_prompt_and_clean(original_text)
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)
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)
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final_split = pd.concat(
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[combined_split[common_columns], grades_thousand_df[common_columns]]
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)
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final_split["grades"] = final_split["grades"].str.replace(",", "")
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final_split = final_split.sample(
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frac=1, random_state=RANDOM_STATE
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).reset_index(drop=True)
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# overwrites the sourceA data
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paths_dict={config_name_source_a: extracted_files["sourceA"]},
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config_name=config_name_source_a,
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)
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self._post_process_dataframe(html_parser.sourceA)
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self._generate_splits(html_parser.sourceA, config_name=config_name_source_a)
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folder_sourceA = Path(html_parser.sourceA).parent
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for split in ["train", "validation", "test"]:
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sourceA = pd.read_csv(folder_sourceA / f"{split}.csv")
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common_columns = [
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"id",
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sourceA.reference.isin(["grader_a", "grader_b"])
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]
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combined_split = combined_split.rename(columns={"essay": "essay_text"})
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+
combined_split["grades"] = combined_split["grades"].str.replace(",", "")
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+
final_split = combined_split[common_columns].sample(
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frac=1, random_state=RANDOM_STATE
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).reset_index(drop=True)
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# overwrites the sourceA data
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