license: apache-2.0
task_categories:
- summarization
language:
- en
๐ 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.
๐งพ Dataset Summary
- ๐ฅ 200 movie clips from well-known films
- ๐บ Each clip is referenced via a YouTube link
- ๐ Each clip includes a human-written summary describing the scene
- ๐พ All metadata is stored in a .jsonl file (metadata.jsonl)
๐ก 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)
๐ฆ 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 |
๐ Example
{
"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'."
}
โ๏ธ Disclaimers
The Clip-CC dataset contains references (via YouTube links) to publicly available movie clips. No video files are hosted or redistributed through this datasetโonly links to existing content on YouTube are included.
All rights to the original video content remain with their respective copyright holders.
The dataset is intended for research and educational purposes only, such as evaluating video summarization models, vision-language alignment, or building multimodal benchmarks.
Users of this dataset are responsible for ensuring their usage complies with local laws and platform terms of service, including YouTube's Terms of Service.
If you're a copyright holder and believe any content should not be referenced in this dataset, please reach out through the appropriate platform.