diff --git a/README.md b/README.md
index 7b95401dc46245ac339fc25059d4a56d90b4cde5..c1a7cf0ae71f88f61365823313d3d0ef260b18ce 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,173 @@
----
-license: apache-2.0
----
+---
+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):
+```json
+{
+  "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
+
+```python
+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
+
+```python
+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:
+
+```bibtex
+@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.
diff --git a/metadata.csv b/metadata.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4f06009453c79fee77daf694fd4c2cfde31396a2
--- /dev/null
+++ b/metadata.csv
@@ -0,0 +1,101 @@
+video_id,video_path,thumbnail,duration,num_scenes,num_groups,scenes_json_path,scene_thumbnails_dir,thresholds,level1_count,level1_threshold,level2_count,level2_threshold,level3_count,level3_threshold
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