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Image-text pairs, instruction tuning, visual QA, cross-modal data, foundation model training data
1,938 datasets
A dataset focused on human-centric animation, likely containing multimodal data such as video, motion capture, or pose sequences. It is hosted on Kaggle, a platform for data science and machine learning projects. The specific data volume, collection method, and creator are not detailed in the available metadata.
ChartNet-Bench is a benchmark dataset containing 3,807 chart images for evaluating faithful multimodal chart understanding. It includes 2,000 synthetic charts and 1,807 real-world charts, all human-verified. The benchmark supports tasks like chart-to-CSV extraction, summarization, and hallucination detection.
PianoVAM v1.1 is a multimodal dataset containing piano performances, including video, audio, and MIDI data. The dataset was initially released for ISMIR 2025 and is maintained by the PianoVAM organization. The current version includes corrections for video-MIDI synchronization issues.
A machine learning model for audio spoofing detection, likely based on the WavLM architecture. It is published on the Kaggle platform. The dataset's specific size, creation date, and author are unknown.
WavLM-Base is a pre-trained model for speech processing tasks, published on the Kaggle platform. Its specific architecture and training data details are not provided in the minimal metadata. The dataset likely contains model weights or related artifacts for audio representation learning.
Bordair Multimodal Prompt Injection Dataset contains 62,063 labeled samples for training and evaluating prompt injection detectors. The dataset, created by Bordair and last updated in April 2026, includes 38,304 attack and 23,759 benign samples covering cross-modal, multi-turn, and evasion attack types. All samples are source-attributed to peer-reviewed papers or documented industry research and are labeled with an expected_detection flag.
PolyCap is a dataset of image-grounded captions for the MindSemantix project. The dataset, created by author ziqiren, was last updated on HuggingFace on 2026-05-12. It contains caption files for subjects sub01, sub02, sub05, and sub07, with corresponding COCO captions referenced to be obtained from the separate NSD dataset.
Aishwarya Iyer published multimodal characterization data for the cardiac muscle protein sMyBP-C M-domain on figshare in May 2026. The dataset likely contains structural, functional, and dynamic measurements of the protein. It specifically examines the impact of a novel pathogenic mutation.
MIMII Pump Precomputed Multimodal Features provide 1D and 2D Numpy array representations of an acoustic dataset focused on pump sounds. The dataset is hosted on Kaggle, but specific details about its size, origin, and update history are not provided in the available metadata. The precomputed format suggests it is derived from the original MIMII pump dataset for machine sound analysis.
WithinUsAI's 'Geminipro3.2 Max Distill God Seed 25K' is a dataset of 25,000 examples engineered for distilling large language models. The dataset aims to imbue base models with capabilities described as deep scientific reasoning, long-context understanding, and thoughtful calibration. It was last updated on the Hugging Face platform on April 23, 2026.
Kaggle hosts a dataset titled VLM_tinyclip. The name suggests it relates to Vision-Language Models, specifically a smaller-scale implementation of the CLIP architecture. Its content likely contains paired image and text data for training or evaluating multimodal models. No further metadata is available.
Refinement via Regeneration (RvR) reformulates image refinement in unified multimodal models from an editing-based paradigm to a regeneration-based one. The dataset likely contains images and associated data for training or evaluating this novel framework. It was created by researchers from Tsinghua University and Tencent Hunyuan and was last updated on April 29, 2026.
MMK12 is a manually collected multimodal mathematical reasoning dataset. All questions are sourced from the real world, and the dataset is designed to ensure answer authenticity. The dataset was created by FanqingM and was last updated on April 7, 2026.
OmniMedVQA-V2 is a large-scale medical visual question answering benchmark covering 12 imaging modalities and 5 clinical question types. The v2 release introduces 13 granular named configurations for modalities and question types, with train/test partitions following the Med-R1 standard. Images are sourced from the canonical foreverbeliever/OmniMedVQA release, with restricted-access images excluded.
53,202 instruction-tuning examples for AI assistants, curated by the Trendyol Security Team. The dataset covers over 200 specialized cybersecurity domains, including cloud-native threats and AI/ML security. It was expanded from 21,000 to 53,000 rows and last updated on April 14, -2026.
A multimodal dataset for strawberry disease detection contains image data, environmental parameters, and variety information. It was authored by Qin2006 and last updated on 2026-04-19. The dataset is intended for studying correlations between environmental factors and disease occurrence.
Agentic-MME is a benchmark dataset featured in Hugging Face Daily Papers. It is designed to evaluate multimodal agents in tool-use, web searching, and multi-step reasoning through visual clues. The dataset was created by author Crystal1047 and last updated on 2026-04 11.
Supplementary material from a 2026 computational study on targeted gene and drug therapy for chronic myelogenous leukemia. The dataset, authored by Margaret L. Lugin, provides a curated list of literature genes and their corresponding research papers. It is a small, focused collection supporting the analysis in the primary study.
Sora100K is a large-scale multimodal video dataset submitted for the ACM MM 2026 Dataset Track. The dataset was created by ysicong and its record was last updated on April 9, 2026. Its specific size, structure, and content are detailed on its dedicated Hugging Face page.
FLARE 2026 aims to train a single multimodal model for medical report generation and visual question answering. The dataset contains two subsets for abdomen and lung CT scans, sourced from projects like AMOS and RATE. It was created by FLARE-MedFM and last updated in April 2026.