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license: apache-2.0
task_categories:
- summarization
language:
- en
---
# 📚 Clip-CC Dataset
**Clip-CC** is a high-quality dataset of 200 short educational videos (1 minute 30 seconds each) paired with human-written summaries. It’s designed for tasks like video summarization, video-language alignment, and multimodal learning.
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## 🧾 Dataset Summary
- 🎞️ 200 videos: Named `1.mp4` to `200.mp4`s
- 📝 Each video has a concise human-written summary
- 📂 File references stored in a JSONL file (`data.jsonl`) with paths to each video
---
## 💡 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., `video_001` |
| `video` | Relative path to video file |
| `summary` | Human-written summary of video content |
### 🔍 Example
```json
{
"id": "video_001",
"video": "videos/1.mp4",
"summary": "An introduction to gravitational force using animations."
}
|