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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,963 datasets
GRAID NuImages is a question-answer dataset generated by the GRAID framework for enhancing spatial reasoning in Vision-Language Models. The dataset was created by author kd7 and is associated with a research paper and project page. It was last updated on October 29, 2025.
The TotalSegmentator Organs dataset contains CT scans with dense segmentation annotations for 14 anatomical structures. The dataset is provided by MedOtter and was last updated on October 30, 2025. The data format is NIfTI (.nii.gz).
Code-170k-shona is a dataset containing 176,999 programming conversations, originally sourced from glaiveai/glaive-code-assistant-v2 and translated into Shona. It was created by michsethowusu and last updated on October 30, 2025. The dataset aims to make coding education accessible to Shona speakers through multi-turn dialogues.
A subset of 100,000 anime character images from the Zerochan webdataset. The images are filtered to be non-monochrome and depict a single person, head, and face with one primary character. Annotator animetimm created this dataset, which was last updated on November 5, 2025.
OpenPecha's benchmark dataset evaluates Tibetan optical character recognition models. It includes diverse scripts, writing styles, and print methods to enable testing across multiple domains. The dataset was last updated on October 30, 2025.
GRAID NuImages was generated using the GRAID framework, which transforms object detection annotations into structured question-answer pairs. The dataset tests various aspects of object understanding and spatial reasoning. It was created by authors Charles Xu, Qiyang Li, Jianlan Luo, and Sergey Levine.
High-resolution images of handwritten mathematical notes in English, including problem statements, worked examples, formulas, and annotated derivations. The dataset was created by HumynLabs and was last updated on the platform on 2025-10-23.
Dhiraj45's dataset contains over 5,000 high-resolution anime-style images. The collection is described as being curated from Comix Wave Anime and is intended for machine learning and creative projects. It was last updated on the Hugging Face platform in October 2025.
Filled with survey results from employees in the public sector, conducted in 2022. It is a co-production of the Dutch Ministry of the Interior and Kingdom Relations and Statistics Netherlands (CBS). The data is documented with variable descriptions and supporting attachments.
An open-source synthetic dataset for computer vision object detection tasks. It contains high-quality, realistic images simulating people holding weapons in public areas from CCTV camera perspectives. The dataset was created by Simuletic and was last updated on October 28, 2025.
Over ten thousand pages of primary source material from the Kurdistan Workers' Party's monthly bulletin Serxwebun, spanning 1982 to 2015, were analyzed by researcher Çağlayan Başer. The data repository contains representative excerpts focusing on women's roles, mobilization, and integration within the rebel organization. This analysis shows that women insurgents enable tactical diversity and aid the organization's survivability.
Sarah Bush's Annotation for Transparent Inquiry project explores the relationship between human rights and democracy promotion fields. The research relies on primary source material from state agencies, international organizations, philanthropies, NGOs, and 20 semi-structured interviews. It was harvested by the Qualitative Data Repository and last updated on October 20, 2025.
Marc Trachtenberg's appendices provide supplementary detail for his analysis of Cold War relations from 1945 to 1963. The eight appendices originated as footnotes for his book 'A Constructed Peace' and were moved online due to manuscript length constraints. They are archived on the Qualitative Data Repository (QDR) and use the same reference system as the published work.
Interview transcripts with NATO and EU officials conducted in Brussels and The Hague from 2016 to 2019. The collection focuses on organizational responses to cybersecurity, energy security, and peacekeeping threats. The research project, led by Ivan Dinev Ivanov, aims to develop a framework explaining how international organizations adapt to emerging challenges.
YouTube-GDD is a gun detection dataset sourced from YouTube videos, created by UCAS-GYX and updated in December 2025. It provides visual data for identifying firearms within diverse contextual environments to support deep learning and object detection research.
Federal Highway Administration data provides geographic boundaries for Metropolitan Planning Organizations (MPOs) across the United States. Compiled on November 10, 2025, this dataset supports multimodal transportation planning and programming. It includes planning locations, sizes, and names for metropolitan areas.
Esther Diaz Romanillos compiled this dataset through systematic documentary analysis of regional laws and official statistics from the Spanish Ministry of Education. It contains normative and quantitative data on rural schools in Spain, focusing on Colegios Rurales Agrupados (CRA) from the 2010/2011 to 2022/2023 academic years. The data includes historical series on schools, units, and students, disaggregated by autonomous community and year.
Causal2Needles is a benchmark dataset containing between 1,000 and 10,000 records designed for evaluating long-video understanding in multimodal large language models. Developed for the NeurIPS 2025 Datasets and Benchmarks Track, it focuses on "2-needle" reasoning tasks where models must retrieve and synthesize two separate temporal segments from a single video. The dataset provides multiple-choice questions that test causal reasoning across long-form visual content.
176,999 programming conversations translated into Somali, sourced from the glaiveai/glaive-code-assistant-v2 dataset. The dataset was created by michsethowusu and last updated on Hugging Face in October 2025. It aims to make coding education accessible to Somali speakers.
2022-2023 data containing all IRS 990 organizations by Employer Identification Number (EIN) and their matched OpenCorporates unique identifiers. The dataset was created by GivingTuesday and allows linking nonprofit tax data with state-level corporate records. All 990-CN, EZ, and PF organization filings for the period were tested for matches.