get_dataset_stat.py

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("LVHaystack/LongVideoHaystack")

def calculate_statistics(dataset, splits=['train', 'test', 'val', 'test_tiny']):
    statistics = {
        "total_videos": 0,
        "total_clips": 0,
        "total_video_duration_hours": 0,
        "total_vclip_duration_hours": 0,
        "total_frames": 0,
        "total_keyframes": 0,
        "total_qa_pairs": 0,
        "average_frames_per_video": 0,
        "average_keyframes_per_question": 0,
        "average_duration_per_video": 0,
        "average_duration_per_vclip": 0,
        "total_clips_deduplicated": 0,
        "total_video_duration_hours_dedup": 0,
    }

    # Sets for deduplication
    unique_video_ids = set()
    unique_clips = set()

    # Variables for calculations
    total_clips = 0
    total_video_duration = {}
    total_vclip_duration = {}
    total_frames = {}
    total_keyframes = 0
    total_questions = 0

    for split in splits:
        for entry in dataset[split]:
            video_id = entry['video_metadata']['video_id']
            clip_id = entry['vclip_id']

            # Count unique videos
            unique_video_ids.add(video_id)

            # Track deduplicated clips
            unique_clips.add(clip_id)

            # Add clip duration to total duration
            total_video_duration.update({entry['video_metadata']['video_id']: entry['video_metadata']['video_duration']})

            # Add clip duration to total duration
            total_vclip_duration.update({entry['vclip_id']: entry['video_metadata']['vclip_duration']})
            
            # Add frame count to total frames
            total_frames.update({entry['video_metadata']['video_id']: entry['video_metadata']['video_frame_count']})

            # Add keyframes to total keyframes
            total_keyframes += len(entry['frame_indexes_vclip'])

            # Add question to total QA pairs
            total_questions += 1

            # Count video clips
            total_clips += 1

    # Populate statistics dictionary
    statistics["total_videos"] = len(unique_video_ids)
    statistics["total_clips"] = len(unique_clips)
    statistics["total_video_duration_hours"] = sum(total_video_duration.values()) / 3600
    statistics["total_vclip_duration_hours"] = sum(total_vclip_duration.values()) / 3600
    statistics["total_frames"] = sum(total_frames.values())
    statistics["total_keyframes"] = total_keyframes
    statistics["total_qa_pairs"] = total_questions
    statistics["average_frames_per_video"] = statistics["total_frames"] / len(unique_video_ids) if unique_video_ids else 0
    statistics["average_keyframes_per_question"] = statistics["total_keyframes"] / total_questions if total_questions else 0
    statistics["average_duration_per_video"] = statistics["total_video_duration_hours"] / len(unique_video_ids) * 3600 if unique_video_ids else 0
    statistics["average_duration_per_vclip"] = statistics["total_vclip_duration_hours"] / len(unique_clips) * 3600 if unique_clips else 0

    return statistics

def display(statistics, head="Dataset Statistics Summary"):
    print("\n" + "="*40)
    print(f"        {head}")
    print("="*40)
    print(f"Total Videos: {statistics['total_videos']:,}")
    print(f"Total Clips: {statistics['total_clips']:,}")
    print(f"Total Video Duration (hours): {statistics['total_video_duration_hours']:.2f}")
    print(f"Total Video Clip Duration (hours): {statistics['total_vclip_duration_hours']:.2f}")
    print(f"Total Frames: {statistics['total_frames']:,}")
    print(f"Total Keyframes: {statistics['total_keyframes']:,}")
    print(f"Total QA Pairs: {statistics['total_qa_pairs']:,}")
    print(f"Average Frames per Video: {statistics['average_frames_per_video']:.2f}")
    print(f"Average Keyframes per Question: {statistics['average_keyframes_per_question']:.2f}")
    print(f"Average Duration per Video (seconds, deduplicated): {statistics['average_duration_per_video']:.2f}")
    print(f"Average Duration per Video Clip (seconds, deduplicated): {statistics['average_duration_per_vclip']:.2f}")
    print("="*40 + "\n")

statistics = calculate_statistics(dataset)
display(statistics)