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

๐Ÿ“š 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.


๐Ÿงพ Dataset Summary

  • ๐ŸŽฅ 200 movie clips from well-known films
  • ๐Ÿ“บ Each clip is referenced via a YouTube link
  • ๐Ÿ“ Each clip includes a human-written summary describing the scene
  • ๐Ÿ’พ All metadata is stored in a .jsonl file (metadata.jsonl)

๐Ÿ’ก 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)

๐Ÿ“ฆ 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

๐Ÿ” 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'."
}

โš–๏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 datasetโ€”only 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.