import argparse import json from pathlib import Path DETECTION_INSTRUCTION = ( "Determine whether the video contains an anomalous event. " "Output 1 if an anomaly is present." ) TIMESTAMP_INSTRUCTION = ( "\n" " Locate the position of the anomalous segment in the video. " "Report the start and end timestamps in mmss format rather than seconds, " "and use the following output format:\n" " [xxxx, xxxx]\n" " " ) EXPECTED_TEST_TASKS = { "Classification", "Cause", "Result", "Timestamp", "Description", "Detection", } def load_json(path: Path): with path.open("r", encoding="utf-8") as f: return json.load(f) def dump_json(path: Path, data) -> None: with path.open("w", encoding="utf-8") as f: json.dump(data, f, ensure_ascii=False, indent=2) f.write("\n") def build_instruction_map(gt_rows): task_to_instruction = {} for row in gt_rows: task = row["task"] instruction = TIMESTAMP_INSTRUCTION if task == "Timestamp" else row["instruction"] existing = task_to_instruction.get(task) if existing is None: task_to_instruction[task] = instruction elif existing != instruction: raise ValueError(f"Task {task!r} has multiple instructions in gt") return task_to_instruction def fill_test_rows(test_rows, task_to_instruction): filled = [] for row in test_rows: task = row["task"] if task == "Detection": instruction = DETECTION_INSTRUCTION else: if task not in task_to_instruction: raise KeyError(f"Missing instruction mapping for task {task!r}") instruction = task_to_instruction[task] filled.append( { "instruction": instruction, "visual_input": row["visual_input"], "output": row["output"], "task": row["task"], "ID": row["ID"], } ) return filled def resolve_data_dir(repo_root: Path) -> Path: raw_dir = repo_root / "raw" return raw_dir if raw_dir.exists() else repo_root def main(): parser = argparse.ArgumentParser(description="Fill missing instructions in CUVA test annotations.") parser.add_argument("--repo-root", type=Path, default=Path(__file__).resolve().parent.parent) args = parser.parse_args() repo_root = args.repo_root.resolve() data_dir = resolve_data_dir(repo_root) gt_path = data_dir / "cuva_gt_cleaned.json" test_path = data_dir / "cuva_test.json" output_path = data_dir / "cuva_test_filled.json" gt_rows = load_json(gt_path) test_rows = load_json(test_path) task_to_instruction = build_instruction_map(gt_rows) test_tasks = {row["task"] for row in test_rows} unknown_tasks = test_tasks - EXPECTED_TEST_TASKS if unknown_tasks: raise ValueError(f"Unexpected tasks in test set: {sorted(unknown_tasks)}") filled_rows = fill_test_rows(test_rows, task_to_instruction) dump_json(output_path, filled_rows) print(f"Wrote {len(filled_rows)} rows to {output_path}") if __name__ == "__main__": main()