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| """Accuracy per question type, per category, and overall, from eval/run_eval.py output. |
| |
| Accuracy is correct / (correct + wrong). Replies that named no single choice |
| (parse_failure) and requests that failed (error) are counted and reported but |
| left out of the accuracy. |
| |
| Usage: |
| python eval/score.py results/<model> |
| """ |
|
|
| from __future__ import annotations |
|
|
| import argparse |
| import json |
| from collections import Counter, defaultdict |
| from pathlib import Path |
|
|
| |
| TYPES = { |
| "audio_presence": ("Sound Presence", "Audio"), |
| "audio_only_recall": ("Audio Scene Recall", "Audio"), |
| "audio_occasion": ("Audio Occasion", "Audio"), |
| "visual_detail_recall": ("Visual Detail Recall", "Visual"), |
| "preference_state_at_time": ("Past Preference Recall", "Personalization"), |
| "preference_change_count": ("Preference Change Count", "Personalization"), |
| "preference_replaced": ("Preference Replacement", "Personalization"), |
| "preference_never_asked": ("Preference Hallucination", "Personalization"), |
| "exception_recall": ("Exception Recall", "Personalization"), |
| "exception_expiry": ("Exception Expiry", "Personalization"), |
| "hearing_adjustment": ("Adjustment Suggestion", "Hearing Adjustment"), |
| } |
| CATEGORIES = ["Audio", "Visual", "Personalization", "Hearing Adjustment"] |
|
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|
| def accuracy(counts: Counter) -> str: |
| scored = counts["correct"] + counts["wrong"] |
| return f"{100 * counts['correct'] / scored:6.2f}" if scored else " -" |
|
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|
|
| def main() -> None: |
| parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) |
| parser.add_argument("results_dir", type=Path) |
| args = parser.parse_args() |
|
|
| by_type: dict[str, Counter] = defaultdict(Counter) |
| by_category: dict[str, Counter] = defaultdict(Counter) |
| overall: Counter = Counter() |
| for path in sorted(args.results_dir.glob("*.jsonl")): |
| latest: dict[str, dict] = {} |
| for line in path.read_text().splitlines(): |
| record = json.loads(line) |
| latest[record["candidate_id"]] = record |
| for record in latest.values(): |
| name, category = TYPES[record["type"]] |
| by_type[name][record["outcome"]] += 1 |
| by_category[category][record["outcome"]] += 1 |
| overall[record["outcome"]] += 1 |
|
|
| print(f"{'type':28s} {'acc':>6s} {'n':>5s}") |
| for key, (name, _) in TYPES.items(): |
| if name in by_type: |
| print(f"{name:28s} {accuracy(by_type[name])} {sum(by_type[name].values()):5d}") |
| print() |
| for category in CATEGORIES: |
| if category in by_category: |
| print(f"{category:28s} {accuracy(by_category[category])} {sum(by_category[category].values()):5d}") |
| print(f"{'Overall':28s} {accuracy(overall)} {sum(overall.values()):5d}") |
| print(f"\nparse failures: {overall['parse_failure']}, errors: {overall['error']}") |
|
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|
|
| if __name__ == "__main__": |
| main() |
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|
