--- 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 ```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'." } ``` --- ### 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.