anzeameol/BiComp
BiComp Description BiComp is a large-scale, high-quality text-to-image preference dataset with 57,474 original + 94,502 edited images across six dimensions: color, shape, texture, spatial/non-spatial relationships, and numeracy. Each image is annotated with rich region-level information and filtered through a VQA-based quality control step. The dataset was introduced in the paper Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference… See the full description on the dataset page: https://huggingface.co/datasets/anzeameol/BiComp.
| Author / organization | anzeameol |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 290 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 18 March 2026 |
| Last updated at source | 3 June 2026 |
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