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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,882 datasets
Sub-Saharan Africa, which accounts for 75% of global sickle cell disease births, is the focus of this synthetic dataset. It is designed for modeling genotype-specific severity patterns, crisis prediction, and mortality risk in resource-limited settings. The dataset was created by electricsheepafrica and released in November 2024.
NaturalVoices EVC is an emotion-balanced subset of an 870-hour podcast speech dataset released by JHU-SmileLab and CMU LTI in 2025. It features spontaneous, in-the-wild English audio recordings designed for training and evaluating emotion-aware voice conversion systems.
A dataset created by Kairong-Han and last updated on November 2, 2025, designed to evaluate machine learning models under spurious correlations. It contains two subtasks, STG_E and STG_H, each with training and test splits including in-distribution (IID) and out-of-distribution (OOD) data. The STG_E subtask includes three training splits of varying sizes or difficulty levels.
Survey data from 2019 captures educators' self-reported understanding and practices regarding translanguaging in bilingual classrooms. The study targeted educators of emergent bilingual services across the United States, including teachers, specialists, and administrators. Recruitment was conducted through organizations like WIDA and the Center for Applied Linguistics over eight months.
13,454 tool definitions with structured JSON schema definitions for both input parameters and output structures, created by qforge and last updated on 2025-11-11. The dataset is designed to enable more robust tool-learning applications. Each entry includes fields for the tool's name, description, and parameters.
D-Fire is an image dataset for fire and smoke detection developed by gaia-solutions-on-demand and updated in December 2025. It provides visual data specifically formatted for YOLO object detection tasks to identify environmental hazards.
Attendance boundaries for elementary schools in the Chicago Public Schools district for the 2024-2025 school year. The dataset, published by data.cityofchicago.org, includes spatial geometry and school identifiers. It was last updated on September 29, 2025.
152 Taiwanese elementary-school students participated in a 5-week field experiment comparing gratitude interventions with and without autonomy support. The study measured effects on gratitude, emotions, life satisfaction, and academic engagement, and collected qualitative materials like gratitude notes and drawings. The dataset was authored by Hsiang-Lien Chen and last updated in October 2025.
State of California provides the authoritative geographic data for all public school sites and district service areas for the current academic year. The map layers are enriched with student demographic and performance information from California Department of Education collections. This data supports spatial visualization and analysis for education research and policy.
Two data files detail tobacco and electronic smoking device use among California high school students. The California Tobacco Control Program coordinates this ongoing in-school survey to assess knowledge, attitudes, and use of products like cigarettes, e-cigarettes, and hookah. Row and column counts are not specified in the input.
39 in-depth interviews with high-performance school-age athletes, parents, and teachers in Australia explore the conflicting demands of combining sport and academic study. The data was collected for a doctoral dissertation in Education and later repurposed for pedagogical training materials. The interviews likely contain detailed narratives about time management, fatigue, motivation, and psychological pressures.
Teaching the Use of Gamification in Elementary School: A Case in Spanish Formal Education is a survey dataset of 308 teachers from educational centers in Spain. The data was collected via a voluntary, non-probabilistic survey instrument and analyzed descriptively and with the HJ-Biplot multivariate method. The dataset was authored by Jose Manuel Sáez López and last updated on October 14, 2025.
35 pre-service primary education teachers participated in a co-design experiment for a robotic Pedagogic Conversational Agent (PCA) during the 2021/2022 academic year. The dataset likely contains survey responses and design feedback, with 97% of participants believing the robot PCA could help children learn programming. The data was authored by Pérez-Marín, Diana and harvested via the e-cienciaDatos Dataverse.
A sample of educational chat dialogues in Portuguese, hosted by CEIA-POSITIVO on Hugging Face. The provided example message discusses the properties of photons, suggesting a focus on physics and science education. The dataset was last updated on November 8, 2025.
Statewide estimates from the Washington State Department of Children, Youth, and Families (DCYF) indicate families of about 305,000 children aged B-5 not yet in school need child care. The data, hosted on data.wa.gov, shows only about 34% of those children are enrolled in licensed care or preschool, with the percent of need met varying widely across the state. It was last updated on September 26, 2025.
10 episodes of robotic manipulation data containing 17,341 frames recorded at 30 FPS for a single task. The collection utilizes the so101_follower robot type and includes 500 MB of video data alongside 100 MB of Parquet telemetry.
State of Washington's Office of Superintendent of Public Instruction (OSPI) collects language data reported by school districts for the 2024-25 school year. The dataset includes a student's primary language, home language, and parent/guardian communication preference, disaggregated by district, ESD, county, and state levels.
Folio is a collection of datasets curated for teaching archaeology and paleontology, maintained by the tesselle organization. Updated as recently as December 2025, the project provides standardized data for archaeological science education within the R programming environment.
OpenWHO is a document-level parallel corpus designed for machine translation evaluation in the health domain. It contains expert-authored, professionally translated educational materials for health workers sourced from the World Health Organization's multilingual e-learning platform. The dataset was created by raphaelmerx and was last updated on November 10, 2025.
University-1652 is a benchmark dataset for drone-based geo-localization, cited in 50+ papers. It contains over 139,000 images across drone, satellite, street, and Google views, annotating 1,652 buildings from 72 universities. The dataset was published for ACM Multimedia 2020 and is hosted on Hugging Face by author layumi.