datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FLUX-Reason-6M
FLUX-Reason-6M
FLUX-Reason-6M is a massive, 6-million-scale text-to-image dataset engineered to instill complex reasoning capabilities in generative models. This dataset was created to bridge the performance gap between open-source and leading closed-source text-to-image systems.
This dataset contains:
6 million high-quality, reasoning-focused images synthesized by the state-of-the-art FLUX.1-dev model.
20 million bilingual (English and Chinese) descriptions, providing a rich… See the full description on the dataset page: https://huggingface.co/datasets/LucasFang/FLUX-Reason-6M.ByteMorph-6M-Demo
Dataset Card for ByteMorph-6M-Demo
The task of editing images to reflect non-rigid motions, such as changes in camera viewpoint, object deformation, human articulation, or complex interactions, represents a significant yet underexplored frontier in computer vision. Current methodologies and datasets often concentrate on static imagery or rigid transformations, thus limiting their applicability to expressive edits involving dynamic movement. To bridge this gap, we present… See the full description on the dataset page: https://huggingface.co/datasets/Boese0601/ByteMorph-6M-Demo.BM-6M-Demo
Dataset Card for ByteMorph-6M-Demo
The task of editing images to reflect non-rigid motions, such as changes in camera viewpoint, object deformation, human articulation, or complex interactions, represents a significant yet underexplored frontier in computer vision. Current methodologies and datasets often concentrate on static imagery or rigid transformations, thus limiting their applicability to expressive edits involving dynamic movement. To bridge this gap, we present… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance-Seed/BM-6M-Demo.laion6m_recapMARIO-6MThis datasets is curated by TextDiffuser team in their work:
TextDiffuser: Diffusion Models as Text Painters (NeurIPS 2023)
MARIO-6M contains 6M images with text rendered on, filtered from LAION-400M.
BM-6M-Demo
Dataset Card for ByteMorph-6M-Demo
The task of editing images to reflect non-rigid motions, such as changes in camera viewpoint, object deformation, human articulation, or complex interactions, represents a significant yet underexplored frontier in computer vision. Current methodologies and datasets often concentrate on static imagery or rigid transformations, thus limiting their applicability to expressive edits involving dynamic movement. To bridge this gap, we present… See the full description on the dataset page: https://huggingface.co/datasets/ByteMorph/BM-6M-Demo.concept_coverage_laion_6m
📦 Freeze-Align Dataset
The Freeze-Align Dataset (concept_coverage_laion_6m) is a curated collection of high-quality image-text pairs designed to facilitate efficient multimodal alignment using frozen unimodal encoders. This dataset supports the research presented in our CVPR 2025 paper, "Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment", enabling models to achieve CLIP-level performance with significantly reduced computational resources.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/mayug/concept_coverage_laion_6m.6miles-assetsSpaVis-6M
SpaVis-6M (ICLR 2026)
Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology
Paper | Code | Model | Dataset |
Abstract: Recent years have witnessed remarkable progress in multimodal learning within computational pathology. Existing models primarily rely on vision and language modalities; however, language alone lacks molecular specificity and offers limited pathological supervision, leading to representational bottlenecks. In this paper, we propose… See the full description on the dataset page: https://huggingface.co/datasets/minghaofdu/SpaVis-6M.bmc6MThe_full_pure_image_of_FLUX-Reason-6Mtwitter-jaNCb7zmGFgi9Um-2023.05.07-1655359400981458945-T68zSyRPMgvVoM6m-part1twitter-Lolick06-2026.02.01-2017789576912523751-6MzFVoElupF6Tji5-part1