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| license: apache-2.0 |
| task_categories: |
| - summarization |
| language: |
| - en |
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| # 📚 Clip-CC Dataset (Movie Clips Edition) |
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| **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 |
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| - 🎥 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 |
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| - 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 |
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| Each entry has: |
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| | Field | Description | |
| |------------|------------------------------------------| |
| | `id` | Unique ID, e.g., `001` | |
| | `file_link`| YouTube link to the movie clip | |
| | `summary` | Human-written summary of video content | |
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| ### 🔍 Example |
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| ```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'." |
| } |
| |
