daniel3303/StoryReasoning
StoryReasoning Dataset Overview The StoryReasoning dataset is a collection of visual storytelling data designed to address limitations in maintaining consistent identity across multiple images while generating coherent narratives. It contains 4,178 cohesive stories derived from 52,016 images, organizing temporally connected image sequences extracted from the same movie scenes to ensure narrative coherence. Key Features Cross-Frame Consistency:… See the full description on the dataset page: https://huggingface.co/datasets/daniel3303/StoryReasoning.
| Author / organization | daniel3303 |
|---|---|
| License (as declared) | cc-by-nd-4.0 |
| Downloads | 125 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 16 April 2025 |
| Last updated at source | 16 May 2025 |
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