---
license: apache-2.0
task_categories:
  - summarization
language:
  - en
---

# 📚 Clip-CC Dataset (Movie Clips Edition)

**Clip-CC** is a curated dataset of 200 movie clips sourced from YouTube, each paired with a human-written summary and each video clipped to 1 minute and 30 second. It is designed for tasks such as video summarization, multimodal learning, and video-language alignment using real-world entertainment content.

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## 🧾 Dataset Summary

- 🎥 200 movie clips from well-known films
- 📺 Each clip is referenced via a YouTube link
- 📝 Each clip includes a human-written summary describing the scene
- 💾 All metadata is stored in a .jsonl file (metadata.jsonl)


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## 💡 Use Cases

- Video summarization and caption generation
- Vision-Language alignment
- Video QA and downstream educational AI tasks
- Fine-tuning multimodal models (e.g., Flamingo, Video-BERT, LLaVA)

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## 📦 Dataset Structure

Each entry has:

| Field      | Description                              |
|------------|------------------------------------------|
| `id`       | Unique ID, e.g., `001`                   |
| `file_link`| YouTube link to the movie clip             |
| `summary`  | Human-written summary of video content   |

### 🔍 Example

```json
{
  "id": "001",
  "file_link": "https://www.youtube.com/watch?v=zRFatzj_5do",
  "summary": "A musical performance scene from Pitch Perfect showcasing a lively rendition of 'I've Got the Magic in Me'."
}