ingoziegler/StoryFrames
The StoryFrames Dataset StoryFrames is a human-annotated dataset created to enhance a model's capability of understanding and reasoning over sequences of images. It is specifically designed for tasks like generating a description for the next scene in a story based on previous visual and textual information. The dataset repurposes the StoryBench dataset, a video dataset originally designed to predict future frames of a video. StoryFrames subsamples frames from those videos and… See the full description on the dataset page: https://huggingface.co/datasets/ingoziegler/StoryFrames.
| Author / organization | ingoziegler |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 446 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 25 February 2025 |
| Last updated at source | 27 February 2025 |
Recent changes
- 16 Oct 2026 Description: The StoryFrames Dataset StoryFrames is a human-annotated dataset created to enhance a model's capability of understanding and reasoning over sequences of images. It is specifically designed for tasks like generating a description for the ne → The StoryFrames Dataset StoryFrames is a human-annotated dataset created to enhance a model's capability of understanding and reasoning over sequences of images. It is specifically designed for tasks like generating a description for the ne
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