| from datasets import load_dataset |
| import pandas as pd |
|
|
|
|
| def _resolve_score_column(df: pd.DataFrame) -> str | None: |
| for name in ["score", "upvotes", "ups", "upvote_ratio"]: |
| if name in df.columns: |
| return name |
| return None |
|
|
|
|
| def main() -> None: |
| dataset = load_dataset( |
| "reddit_tifu", |
| "short", |
| split="train", |
| trust_remote_code=True, |
| ) |
| df = dataset.to_pandas() |
|
|
| if "title" not in df.columns: |
| raise ValueError("Missing required column: title") |
|
|
| if "tldr" not in df.columns: |
| df["tldr"] = "" |
|
|
| df["text"] = (df["title"].fillna("") + " " + df["tldr"].fillna("")).str.strip() |
| if "subreddit" in df.columns: |
| df["category"] = df["subreddit"] |
| elif "subreddit_name_prefixed" in df.columns: |
| df["category"] = df["subreddit_name_prefixed"] |
| else: |
| df["category"] = "tifu" |
|
|
| score_col = _resolve_score_column(df) |
| if score_col is None: |
| df["score"] = 0 |
| else: |
| df["score"] = df[score_col] |
|
|
| df = df[df["text"].str.len() >= 20].copy() |
| out_df = df[["text", "category", "score"]] |
|
|
| out_df.to_parquet("data/raw/reddit.parquet", index=False) |
| print(f"Loaded {len(out_df)} rows, {out_df['category'].nunique()} subreddits") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
