File size: 1,306 Bytes
78de534 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | 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()
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