README.md

metadata

license: cc-by-4.0
task_categories:
  - video-classification
  - object-detection
  - video-segmentation
language:
  - ja
  - en
size_categories:
  - 1K<n<10K

Japanese TV Commercial Video Dataset

Dataset Description

This dataset contains Japanese TV commercial (CM) videos with hierarchical scene detection annotations.

Dataset Summary

• Total Videos: 100
• Total Duration: 39.5 minutes (2370 seconds)
• Total Scenes: 2,320
• Average Duration per Video: 23.7s
• Average Scenes per Video: 23.2

Languages

Commercial videos contain a mix of:

• Japanese (primary)
• English (secondary)

Dataset Structure

dataset/
├── videos/              # Video files (.mp4)
│   ├── CM_000.mp4
│   ├── CM_001.mp4
│   └── ...
├── thumbnails/          # Representative thumbnails for each video
│   ├── CM_000.jpg
│   ├── CM_001.jpg
│   └── ...
├── scenes/              # Scene detection results
│   ├── CM_000/
│   │   ├── scenes.json  # Scene boundaries and metadata
│   │   └── scene_*.jpg  # Thumbnails for each scene
│   └── ...
├── metadata.parquet     # Dataset metadata (recommended)
└── metadata.csv         # Human-readable metadata

Data Fields

metadata.parquet / metadata.csv:

• video_id: Unique identifier (e.g., "CM_000")
• video_path: Path to video file
• thumbnail: Path to representative thumbnail image
• duration: Video duration in seconds
• num_scenes: Total number of detected scenes
• num_groups: Number of scene groups
• scenes_json_path: Path to scenes.json file
• scene_thumbnails_dir: Directory containing scene thumbnails
• level1_count, level2_count, level3_count: Scene counts per detection level
• level1_threshold, level2_threshold, level3_threshold: Detection thresholds used

scenes.json (per video):

{
  "video_name": "CM_000",
  "video_duration": 29.66,
  "total_scenes": 15,
  "scenes": [
    {
      "scene_number": 1,
      "start_time": 0.0,
      "end_time": 2.102,
      "duration": 2.102,
      "start_timecode": "00:00:00.000",
      "end_timecode": "00:00:02.102",
      "thumbnail": "scene_001.jpg",
      "level": 1,
      "threshold": 5.0
    }
  ]
}

Scene Detection Methodology

Scenes are detected using hierarchical scene detection with PySceneDetect:

• Level 1 (threshold: 5.0): Major scene changes (coarse)
• Level 2 (threshold: 3.0): Medium scene changes
• Level 3 (threshold: 1.0): Subtle scene changes (fine)

Each scene includes:

• Precise start/end timestamps
• Duration
• Detection level (indicating cut intensity)
• Thumbnail image

Usage

Load with Hugging Face Datasets

from datasets import load_dataset

# Load metadata
dataset = load_dataset("your-username/tv-commercial-videos")

# Access first video
sample = dataset["train"][0]
print(f"Video: {sample['video_path']}")
print(f"Duration: {sample['duration']}s")
print(f"Scenes: {sample['num_scenes']}")

Load with Pandas

import pandas as pd

# Load metadata
df = pd.read_parquet("metadata.parquet")

# Load scene data for specific video
import json
with open(df.iloc[0]['scenes_json_path'], 'r') as f:
    scenes = json.load(f)

Use Cases

This dataset is suitable for:

• Video segmentation: Scene boundary detection
• Content analysis: Commercial structure analysis
• Computer vision: Object detection in commercial contexts
• Temporal analysis: Shot duration patterns
• Multi-modal learning: Video + audio + text
• Advertisement research: Creative patterns in commercials

Limitations

• Videos are sourced from Japanese TV commercials (specific domain)
• Scene detection is automated and may have occasional errors
• No manual verification of scene boundaries
• No semantic labels (e.g., product categories, themes)

Citation

If you use this dataset, please cite:

@dataset{tv_commercial_videos_2024,
  title={Japanese TV Commercial Video Dataset with Scene Detection},
  author={Your Name},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/your-username/tv-commercial-videos}
}

License

This dataset is released under CC-BY-4.0 license.

Contact

For questions or issues, please open an issue on the dataset repository.