Andre Barbosa commited on
Commit
5f8ff46
·
1 Parent(s): f8079f0

remove grades_thousand from JBCS split

Browse files
Files changed (1) hide show
  1. 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",
@@ -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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- grades_thousand_df[["supporting_text", "prompt"]] = grades_thousand_df[
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- "supporting_text"
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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