Datasets:
Download scripts/run_benchmark.py from codysnider/FalseMemBench: direct link, hf CLI and curl.
- Browser
- Download file 2.52 kB
-
https://huggingface.co/datasets/codysnider/FalseMemBench/resolve/main/scripts/run_benchmark.py
- Command line
-
hf download hf://datasets/codysnider/FalseMemBench/scripts/run_benchmark.py
-
curl -L -o run_benchmark.py https://huggingface.co/datasets/codysnider/FalseMemBench/resolve/main/scripts/run_benchmark.py
2.52 kB
| #!/usr/bin/env python3 | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| def load_cases(path: Path): | |
| cases = [] | |
| with path.open() as f: | |
| for line in f: | |
| line = line.strip() | |
| if not line: | |
| continue | |
| cases.append(json.loads(line)) | |
| return cases | |
| def keyword_score(query: str, text: str) -> float: | |
| query_terms = [term.lower() for term in query.replace("?", " ").replace(",", " ").split() if len(term) >= 3] | |
| text_lower = text.lower() | |
| score = 0.0 | |
| for term in query_terms: | |
| if term in text_lower: | |
| score += 1.0 | |
| return score | |
| def run_keyword_baseline(cases): | |
| results = [] | |
| hits_at_1 = 0 | |
| hits_at_5 = 0 | |
| for case in cases: | |
| scored = [] | |
| for entry in case["entries"]: | |
| score = keyword_score(case["query"], entry["text"]) | |
| scored.append((score, entry["id"])) | |
| scored.sort(key=lambda item: (-item[0], item[1])) | |
| ranked_ids = [item[1] for item in scored] | |
| relevant = set(case["relevant_ids"]) | |
| hit1 = ranked_ids[:1] and ranked_ids[0] in relevant | |
| hit5 = any(item in relevant for item in ranked_ids[:5]) | |
| hits_at_1 += 1 if hit1 else 0 | |
| hits_at_5 += 1 if hit5 else 0 | |
| results.append({ | |
| "id": case["id"], | |
| "adversary_type": case["adversary_type"], | |
| "query": case["query"], | |
| "relevant_ids": case["relevant_ids"], | |
| "ranked_ids": ranked_ids, | |
| "hit_at_1": bool(hit1), | |
| "hit_at_5": bool(hit5), | |
| }) | |
| total = len(cases) or 1 | |
| return { | |
| "cases": len(cases), | |
| "recall_at_1": hits_at_1 / total, | |
| "recall_at_5": hits_at_5 / total, | |
| "results": results, | |
| } | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description="Run a simple FalseMemBench keyword baseline") | |
| parser.add_argument("--data", default=str(Path(__file__).resolve().parents[1] / "data" / "cases.jsonl")) | |
| parser.add_argument("--out", default="") | |
| args = parser.parse_args() | |
| cases = load_cases(Path(args.data)) | |
| report = run_keyword_baseline(cases) | |
| print(json.dumps({"cases": report["cases"], "recall_at_1": report["recall_at_1"], "recall_at_5": report["recall_at_5"]}, indent=2)) | |
| if args.out: | |
| out_path = Path(args.out) | |
| out_path.parent.mkdir(parents=True, exist_ok=True) | |
| out_path.write_text(json.dumps(report, indent=2)) | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |