Download code/e5cb5ca/src/review_tally.py from Podtech/abeja-cc-ja-cleaned: direct link, hf CLI and curl.
- Browser
- Download file 2.53 kB
-
https://huggingface.co/datasets/Podtech/abeja-cc-ja-cleaned/resolve/main/code/e5cb5ca/src/review_tally.py
- Command line
-
hf download hf://datasets/Podtech/abeja-cc-ja-cleaned/code/e5cb5ca/src/review_tally.py
-
curl -L -o review_tally.py https://huggingface.co/datasets/Podtech/abeja-cc-ja-cleaned/resolve/main/code/e5cb5ca/src/review_tally.py
2.53 kB
| """記入済みの review_samples.csv を集計し、層別の精度・見逃し率を出す。 | |
| verdict は ``harmful`` / ``not_harmful`` / ``unsure`` の3値。未記入は未確認として数える。 | |
| 出力は ``review_tally.json`` と標準出力の表。 | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import csv | |
| import json | |
| from collections import defaultdict | |
| from datetime import datetime, timezone | |
| from pathlib import Path | |
| def main(argv: list[str] | None = None) -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--csv", type=Path, required=True) | |
| parser.add_argument("--output", type=Path, default=None, help="既定は CSV と同じ場所の review_tally.json") | |
| args = parser.parse_args(argv) | |
| counts: dict[str, dict[str, int]] = defaultdict(lambda: {"harmful": 0, "not_harmful": 0, "unsure": 0, "unreviewed": 0}) | |
| reviewers: set[str] = set() | |
| with args.csv.open(encoding="utf-8", newline="") as handle: | |
| for row in csv.DictReader(handle): | |
| verdict = (row.get("verdict") or "").strip().lower() or "unreviewed" | |
| if verdict not in ("harmful", "not_harmful", "unsure"): | |
| verdict = "unreviewed" | |
| counts[row["stratum"]][verdict] += 1 | |
| if row.get("reviewer"): | |
| reviewers.add(row["reviewer"]) | |
| result: dict[str, dict] = {} | |
| for stratum, c in sorted(counts.items()): | |
| reviewed = c["harmful"] + c["not_harmful"] | |
| entry = dict(c) | |
| entry["reviewed"] = reviewed | |
| if reviewed: | |
| if stratum.startswith(("deleted:", "cooccurrence:")): | |
| entry["precision"] = round(c["harmful"] / reviewed, 3) # 削除の妥当性 | |
| else: | |
| entry["harmful_rate"] = round(c["harmful"] / reviewed, 3) # 保持側の見逃し率 | |
| result[stratum] = entry | |
| output = args.output or args.csv.with_name("review_tally.json") | |
| payload = {"tallied_at_utc": datetime.now(timezone.utc).isoformat(), "csv": str(args.csv), "reviewers": sorted(reviewers), "strata": result} | |
| output.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") | |
| print(f"{'stratum':40s} {'harm':>5s} {'not':>5s} {'uns':>5s} {'todo':>5s} rate") | |
| for stratum, e in result.items(): | |
| rate = e.get("precision", e.get("harmful_rate", "")) | |
| print(f"{stratum:40s} {e['harmful']:5d} {e['not_harmful']:5d} {e['unsure']:5d} {e['unreviewed']:5d} {rate}") | |
| if __name__ == "__main__": | |
| main() | |