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Image-text pairs, instruction tuning, visual QA, cross-modal data, foundation model training data
1,947 datasets
PyVision-Image-RL-Data provides between 10,000 and 100,000 reinforcement learning trajectories for training agentic vision models, released by Agents-X in February 2026. The data supports the PyVision-RL framework, which focuses on stabilizing multimodal model interactions during complex vision-language tasks.
A multimodal benchmark dataset of aligned Hematoxylin and Eosin (H&E) stained tissue patches and gene expression profiles for breast tissue, published by theislab in 2026. The dataset is designed for research at the intersection of computational pathology and genomics. It was last updated on Hugging Face in February 2026.
Multimodal Phishing Detection Dataset is a Kaggle-hosted collection for cybersecurity research. The dataset likely contains features for identifying phishing attempts across different data modalities. Its specific content, size, and creation details require verification after download.
110,000 training and 31,000 testing question-answer pairs for multimodal LLM-based autonomous driving. The dataset includes nine types of tasks across occlusion-aware perception, planning-aware prediction, and V2V-aware planning stages. It was created by eddyhkchiu and last updated on Hugging Face in February 2026.
CAMEO-Lung is a multimodal benchmark dataset containing aligned histopathology images and gene expression profiles from lung tissue. The dataset was created by theislab and last updated on Hugging Face in February 2026. It is intended for research in spatial transcriptomics and computational pathology.
MedMASLab is a benchmarking dataset for medical vision-language multi-agent systems released by qyhhhhh in March 2026. It provides standardized data and metrics for evaluating how multiple AI agents collaborate on medical visual question answering tasks. The dataset is associated with Arxiv paper 2603.09909 and focuses on multi-agent coordination in clinical AI.
CAMEO-Thymus is a multimodal benchmark dataset from the thymus. It contains aligned patches of Hematoxylin and Eosin (H&E) stained histology images and Visium spatial gene expression profiles. The dataset was created by theislab and was last updated on February 27,ๆไปฌๅ็ฐไบไธไธช้ฎ้ขใ
Digital Media Art and Visual Communication Dataset is a multimodal dataset for creative visuals, published on Kaggle. The dataset likely contains various forms of visual and communication data for analysis. Specific details on size, authorship, and update frequency are not provided in the available metadata.
5,122 training examples of Armenian dialect speech recordings from Artsakh varieties (Stepanakert, Getashen, Hadrut) paired with aligned transcriptions, split into train, validation, and test subsets. The dataset was created by DALiH-ANR and last updated on February 17, 2026.
A dataset likely containing images of plants paired with questions and answers, focusing on disease identification. It is hosted on Kaggle, but the specific collection date, author, and total volume are unknown. The dataset's name suggests it is a second version of a visual question-answering resource for the PlantVillage domain.
A dataset titled 'multimodal_concise' is hosted on Kaggle. The dataset's content and structure are inferred from its title, which suggests it contains multiple data modalities in a concise format. No further metadata is available to confirm its size, origin, or specific contents.
SIQA TrainSet provides between 100,000 and 1,000,000 records for Scientific Image Quality Assessment, released by the SIQA organization in early 2026. The data is structured for multimodal training across two specialized tasks: SIQA-U for subjective assessment and SIQA-S for structural assessment.
The Dendritic Consortium provides a multimodal dataset integrating calcium and voltage imaging, electrophysiology, electron microscopy, proteomics, and computational models. It focuses on Baz1a pyramidal neurons in the mouse primary visual cortex (V1). The data is hosted on AWS Open Data with no restrictions on use.
A dataset named 'vqacache' published on Kaggle. The title suggests it is related to Visual Question Answering, a multimodal AI task combining images and text. No further metadata, such as size, columns, or authorship, is provided.
Geoguessr Vlm Dataset is a multimodal dataset hosted on HuggingFace by author OLEGator228. The platform tags suggest it likely contains satellite imagery and location data for vision-language model tasks. It was last updated on 2026-04-08.
CASTLE2024 provides time-aligned sensor and video data captured from 10 participants over four days in a controlled environment. The dataset, created by the CASTLE-Dataset organization, is designed for research in lifelogging and multimodal retrieval. It was last updated on the Hugging Face platform in February 2026.
Machine-translated Kazakh and Russian versions of the MMStar dataset, an elite vision-language benchmark. The original MMStar consists of high-quality, non-redundant multimodal samples designed to evaluate 6 core capabilities and 18 detailed dimensions of Large Multimodal Models. The dataset was created by 'issai' and was last updated on 2026-02-18.
A dataset titled 'English Nemotron Sft Instruction Following Chat V2 Pretrain' was published on the Hugging Face platform by the user 'escavador'. The dataset's specific content, size, and structure are not detailed in the provided metadata. Its last recorded update was on 2026-03-31 15:47:30.
IshiharaColorBench is a benchmark designed to measure the pure color perception capability of Large Vision-Language Models (LVLMs). The dataset's specific size, format, and authorship are unknown. It is hosted on Kaggle.
VisualWebInstruct is a large-scale multimodal instruction dataset containing approximately 900,000 question-answer pairs. It consists of 40% visual QA pairs linked to 163,743 unique images and 60% text-only QA pairs, designed to enhance vision-language reasoning. The dataset was created by TIGER-Lab and was last updated on February 1, 2026.