| import os |
|
|
| import pandas as pd |
| from datasets import load_dataset |
|
|
| RAW_CSV_PATH = "data/raw/jigsaw_train_hate_annotationprob.csv" |
| PARQUET_PATH = "data/raw/jigsaw.parquet" |
| HF_COLS = [ |
| "comment_text", |
| "toxic", |
| "severe_toxic", |
| "obscene", |
| "threat", |
| "insult", |
| "identity_hate", |
| ] |
| CSV_COLS = [ |
| "text", |
| "toxic", |
| "severe_toxic", |
| "obscene", |
| "threat", |
| "insult", |
| "identity_hate", |
| ] |
|
|
|
|
| def _load_from_csv() -> pd.DataFrame: |
| df = pd.read_csv(RAW_CSV_PATH) |
| df = df[CSV_COLS].dropna() |
| return df.rename(columns={"text": "comment_text"}) |
|
|
|
|
| def _load_from_hf() -> pd.DataFrame: |
| dataset = load_dataset("jigsaw_toxicity_pred", split="train") |
| dataset = dataset.select_columns(HF_COLS) |
| return dataset.to_pandas().dropna() |
|
|
|
|
| def main() -> None: |
| if os.path.exists(RAW_CSV_PATH): |
| df = _load_from_csv() |
| source = RAW_CSV_PATH |
| else: |
| df = _load_from_hf() |
| source = "jigsaw_toxicity_pred" |
|
|
| print(f"Loaded: {len(df)} comments from {source}") |
| print(f"Toxic rate: {df['toxic'].mean():.1%}") |
|
|
| df.to_parquet(PARQUET_PATH, index=False) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
