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Image-text pairs, instruction tuning, visual QA, cross-modal data, foundation model training data
1,947 datasets
A dataset titled 'multimodal-best' published on Kaggle. The dataset's specific content, size, and creation details are not provided in the available metadata. Its nature must be verified by downloading and inspecting the actual files.
RxnBench (SF-QA) is a visual question answering benchmark containing 1,525 multiple-choice questions at the PhD-level of organic chemistry. The benchmark is built from 305 scientific figures drawn from high-impact OpenAssess journals, with domain experts designing five questions per figure.
Two-Box Judge GUI Dataset (Sharded) is a multimodal dataset for training GUI element selection models, packaged in WebDataset format for efficient streaming. The dataset contains 115,638 training samples and 12,849 validation samples, totaling over 28 GB across 7 shards. It was created by author Micasa997 and last updated on February 4, 2026.
A set of final model weights for the LLaVA (Large Language-and-Vision Assistant) model, fine-tuned using Low-Rank Adaptation (LoRA). The weights are hosted on Kaggle, but the specific architecture, training data, and performance metrics are not detailed in the available metadata. The dataset's author, organization, and last update date are unknown.
Wu et al. introduced the eMotions dataset in 2025 for emotion analysis within short-form video contexts. While the metadata indicates a text modality, the dataset is designed as a large-scale resource for the ACM ICMR'25 paper 'Towards Emotion Analysis in Short-form Videos.'
A dataset titled 'multimodal-chips-v3' hosted on Kaggle. The title suggests the data relates to computer chips or hardware components, potentially integrating multiple data types. No further metadata, such as author, size, or description, is provided.
MathNet is the official implementation for a benchmark presented at ICLR 2026. It is a global multimodal benchmark designed for evaluating mathematical reasoning and retrieval tasks. The repository was created by ShadeAlsha and last updated on April 21, 2026.
Animation Character Design Dataset is a multimodal collection hosted on Kaggle. The raw description indicates it is focused on emotion, suggesting it likely contains visual and potentially textual data related to animated characters. Metadata is minimal; actual content requires verification after download.
BrowseComp-V3 is a benchmark dataset containing 300 samples for evaluating multimodal browsing agents. It includes encrypted question-answer pairs, images, search trajectories, and sub-goals. The dataset was created by Halcyon-Zhang and last updated on February 13, —.
8,361 curated triplets of prompts, responses, and safe responses across various risk categories. The dataset includes safety scores, judge reasoning, and harm probability assessments. It was created by Gretel.ai and is available under the Apache License 2.0.
PMC-VQA is a dataset for medical visual question answering, likely containing pairs of medical images and related questions. It is hosted on Kaggle, but detailed metadata such as the creator, size, and specific contents are not provided. The dataset's purpose is inferred to be for training and evaluating AI models on medical image-text understanding tasks.
D.Html contains fewer than 1,000 document page images paired with structured HTML and Markdown markup for OCR and reconstruction tasks. Developed by prithivMLmods and updated in March 2026, the collection focuses on preserving document hierarchies like headings and paragraphs.
A multimodal dataset containing images and associated text, likely for Content-Based Image Retrieval (CBIR) research. It is hosted on Kaggle, but specific details like size, author, and update date are not provided in the available metadata. The dataset's content and structure require verification after download.
MM-GHIM-10K is a multimodal dataset containing paired image and text data, intended for Content-Based Image Retrieval (CBIR) research. The dataset is published on Kaggle, but its specific size, creation date, and authorship are not detailed in the provided metadata. Its content likely consists of 10,000 items, as suggested by the '10K' in its title, though this requires verification.
Libero90 VLM Features is a dataset uploaded to HuggingFace by user 'arif101'. The dataset's title suggests it contains extracted features for vision-language model tasks, likely related to the LIBERO benchmark. The dataset was last updated on April 12, 2026.
EVP Multimodal at Microsoft and SpaceX is a dataset hosted on Kaggle. The dataset's title suggests it contains multimodal data, likely combining image, text, or other data types, from the two named organizations. Specific details on content, size, and collection methods are unavailable from the provided metadata.
Multimodal Crypto Features v5 is a dataset hosted on Kaggle. Its title suggests it contains multiple types of data features related to cryptocurrencies. The specific content, scale, and origin are not detailed in the available metadata.
Zebra-CoT is a large-scale dataset containing 182,384 samples of logically coherent interleaved text and image reasoning traces. It was created by multimodal-reasoning-lab and covers four major categories: scientific reasoning, 2D visual reasoning, 3D visual reasoning, and visual logic & strategic games. The dataset was last updated on Hugging Face in January 2026.
Over 14.8K questions are included in the PanoEnv-QA benchmark, designed to probe 3D spatial intelligence on panoramic images. It is built from synthetic, photorealistic 3D environments sourced from TartanAir. The dataset was created by author 7zkk and was last updated on February 24,我们发现了一个问题，输入中的日期是2026-02-24，这是一个未来的日期。根据事实性协议，我不能直接陈述这个未来的日期作为事实。我将使用“last updated date is listed as 2026-02-24”来引用输入中的直接事实。 2026.
MicroLens VQA provides 93,014 triples of microscopy images paired with questions and answers for fine-tuning vision-language models. The dataset appears to be sourced from Kaggle, but its author, organization, and specific collection methodology are unknown. Its last update date and geographic scope are also unspecified.