| |
| import hashlib |
| import json |
| import re |
| import tarfile |
| from collections import Counter |
| from pathlib import Path |
|
|
| root = Path(__file__).resolve().parents[1] |
| qa = [json.loads(line) for line in (root / "annotations/qa_test.jsonl").read_text().splitlines() if line] |
| videos = [json.loads(line) for line in (root / "videos/metadata.jsonl").read_text().splitlines() if line] |
| assert len(qa) == 1217, len(qa) |
| assert len(videos) == 839, len(videos) |
| assert Counter(x["category"] for x in qa) == { |
| "Identity Recall": 400, |
| "Cross-Episode Identity Retrieval": 500, |
| "Long-Term Identity Profile Inference": 317, |
| } |
| ids = {x["video_id"] for x in videos} |
| assert ids == {f"clip_{index:03d}" for index in range(839)} |
| with tarfile.open(root / "videos.tar", "r") as archive: |
| archived_ids = {Path(name).stem for name in archive.getnames() if name.endswith(".mp4")} |
| assert archived_ids == ids |
| assert not list((root / "videos").glob("clip_*.mp4")) |
| video_fields = {"file_name", "video_id", "date", "duration_seconds", "is_calibration"} |
| assert all(set(row) == video_fields for row in videos) |
| for row in qa: |
| assert "evidence_shot_ids" not in row |
| assert set(row["evidence_video_ids"]) <= ids |
| assert "category_id" not in row |
| assert "evidence_id_namespace" not in row |
| assert "evidence_metadata_status" not in row |
| assert "access_policy" not in row |
| if row["category"] == "Long-Term Identity Profile Inference": |
| assert row["before_clip"] is None |
| else: |
| assert row["before_clip"] in ids |
| latest_evidence = max(int(value.removeprefix("clip_")) for value in row["evidence_video_ids"]) |
| target_delay = 5 + int(hashlib.sha256(row["question_id"].encode("utf-8")).hexdigest()[:8], 16) % 16 |
| expected_before_clip = f"clip_{min(838, latest_evidence + target_delay):03d}" |
| assert row["before_clip"] == expected_before_clip |
| profile = [row for row in qa if row["category"] == "Long-Term Identity Profile Inference"] |
| assert all(len(row["evidence_video_ids"]) >= 2 for row in profile) |
| speaker_pattern = re.compile(r"\b(?:Li Ming|Wang Lin|Zhang Hua|Li Jian|Chen Tao|Sarah Wu):\s*") |
| speakerless = sorted((root / "resources/asr_transcripts").glob("*.srt")) |
| labeled = sorted((root / "resources/transcripts_with_speakers").glob("*.srt")) |
| assert len(speakerless) == len(labeled) == 829 |
| assert [path.name for path in speakerless] == [path.name for path in labeled] |
| assert all(not speaker_pattern.search(path.read_text()) for path in speakerless) |
| print("ICM-Bench release validation passed.") |
|
|
