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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,894 datasets
Aggregating the 2017 Dutch School Leaver Survey (SVO), which examines the transition from school to work or further education for graduates and early leavers from secondary vocational (MBO) and pre-university (VO) education. It was conducted by Statistics Netherlands (CBS) on behalf of the Ministry of Education, Culture and Science to monitor the alignment between completed education and subsequent employment.
Educational Testing Service and Mursion developed materials for a four-year project aimed at improving preservice elementary teachers' ability to orchestrate discussions. The project, GO Discuss, created performance-based tasks in a simulated classroom environment with fifth-grade student avatars. This specific data project includes training materials for simulation specialists, who control the avatars and responses during these discussions.
Educational Testing Service and Mursion developed the GO Discuss project materials for preservice elementary teachers. This specific data project includes materials for one elementary mathematics task, called Ordering Fractions, where teachers lead a discussion on ordering three fractions. The materials include scenario details, student work, and resources for teacher educators, such as sample videos.
Educational Testing Service and Mursion developed eight performance-based tasks for preservice elementary teachers. This specific project includes materials for one elementary science task called Conservation of Matter, where students investigate whether matter is conserved when making lemonade. The materials were deposited by Jamie Mikeska via QDR Harvested Dataverse and last updated on October 20, 2025.
The S4 Changing Matter Elementary Science Task is part of the GO Discuss project developed by Educational Testing Service and Mursion. It includes materials for a simulated classroom task where pre-service elementary teachers facilitate a discussion on whether mixing substances creates new matter. The dataset was last updated on October 20, 2025.
The M3 Birdseed Elementary Mathematics Task is a performance-based assessment developed by Educational Testing Service and Mursion for the GO Discuss project. It includes materials for a simulated classroom scenario where pre-service elementary teachers lead a discussion on fraction-of-a-fraction problems solved incorrectly by student avatars. The dataset contains task scenarios, student work, critiques, and resources for teacher educators.
Educational Testing Service and Mursion developed eight performance-based tasks for preservice elementary teachers. This specific project includes materials for one mathematics task, Fractions Between, where teachers lead discussions with student avatars about a novel strategy for finding fractions. The dataset contains scenario details, student work, and training materials for teacher educators.
Materials for one elementary science task called Mystery Powder from the GO Discuss project. The four-year project developed performance-based tasks in a simulated classroom environment to improve preservice elementary teachers' ability to orchestrate discussions. Educational Testing Service and Mursion created eight tasks, four in science and four in mathematics, validated for formative assessment.
Eight performance-based tasks developed by Educational Testing Service and Mursion for a four-year project called GO Discuss. Materials for one elementary science task, Modeling Matter, include scenario details, student work, and resources for teacher educators. The project aimed to improve preservice elementary teachers' ability to orchestrate discussions via simulated classroom interactions.
Educational Testing Service and Mursion developed the GO Discuss project materials for one elementary mathematics task called Eight Divided by One-Fourth. The project includes scenario details, student work, and resources for pre-service teachers and educators to practice leading classroom discussions in a simulated environment. The broader project involved eight performance-based tasks developed over four years.
Sixteen case studies of interstate crises form the empirical foundation for Glenn Snyder and Paul Diesing's classic 1977 work 'Conflict Among Nations'. The project includes thirteen in-depth case studies, three partially developed cases, and nine working papers from the University at Buffalo's Center for International Conflict Studies. Frank Zagare curated this collection to make the original research materials available to the academic community.
Community Forensics Eval is an evaluation dataset for fake image detection, containing images from 21 generative models paired with real source datasets. The dataset was created by OwensLab for the CVPR 2025 paper "Community Forensics: Using Thousands of Generators to Train Fake Image Detectors". It was last updated in October 2025.
Hfds Clj provides a Clojure-based interface for accessing the HuggingFace dataset ecosystem, developed by zmedelis and last updated in December 2025. It functions as a programmatic bridge rather than a static data file, allowing developers to pull diverse data formats into Clojure workflows.
Student transportation eligibility data is documented by OPT school code and school year. The dataset originates from data.cityofnewyork.us and was last updated in October 2025. It categorizes students as eligible for door-to-door or stop-to-school transportation services.
SingMOS-Pro is an official benchmark dataset for singing voice quality assessment. The dataset was created by TangRain and released on Hugging Face, with a last recorded update on October 9, 2025. It is described as the official benchmark for the VoiceMOS 2024 singing track.
IFBench Test is a benchmark dataset for evaluating language models on instruction-following tasks. It was created by researchers including Valentina Pyatkin and published by AllenAI in 2025. The dataset includes synthetic text outputs generated by third-party models.
Diez-Pascual, Ana María published a dataset on 2025-10-14 via e-cienciaDatos Harvested Dataverse. The data likely contains experimental results for poly(butylene succinate-co- butylene adipate) nanocomposites with functionalized single-walled carbon nanotubes. Four machine learning algorithms were applied to predict mechanical properties from the experimental characterization.
This dataset examines third-year Honors Programme students' perceptions of their development across five learning goals at Rotterdam University of Applied Sciences. The study found students reported the strongest development in systemic awareness and knowledge sharing, while 'Making Intentional Choices' was rated lowest. The data originates from a six-session educational track designed to foster growth in self-awareness, systems thinking, self-directed learning, relational skills, and knowledge application.
AuxSolidMath is a collection of 3,018 solid geometry problems sourced from real high school examination papers. The dataset includes a curated benchmark, GeoAuxBench, with 302 examples split into Easy (150) and Hard (152) difficulty levels to evaluate a model's ability to construct auxiliary lines. It was created by author 'shasha' and last updated on October 13, 2025.
Scholar is a dataset of 30.3K annotated samples created to address the lack of high-quality scientific datasets in French. It is based on Baccalauréat and Classes Préparatoires (CPGE) exam questions and their detailed solutions, covering subjects like mathematics, physics, chemistry, and computer science. The dataset was created by kurakurai and last updated on 2025-10-12.