Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,406 datasets
National assessment for learning outcomes in Niger, CP, French, under minimal competency (%) measures the percentage of students below minimal competency in French language for the CP grade. The data originates from a national assessment conducted by the Local Education Group (LEG) in Niger. The Global Partnership for Education aggregates this country-reported data, though the specific assessment years are not provided.
National assessment data tracks the percentage of grade 9 students in Georgia achieving the lowest competency level in Language. The Global Partnership for Education compiled this data from assessments reported by the Local Education Group. The specific time period and data volume are not provided.
Minimal competency percentages for second-grade mathematics are derived from a national assessment in Senegal. The Global Partnership for Education compiled this data, which is reported by the country's Local Education Group. The specific definition and calculation method are determined by Senegal.
Data indicates country participation in international learning outcome assessments by year. The dataset is compiled by the Global Partnership for Education's Local Education Group. It serves as a reference for linking to detailed assessment scores reported for each country.
Cyoc contains 100 million to 1 billion units of English-language narrative text scraped from the interactive fiction site cyoc.net. Created by tgdatasets and updated in March 2026, the collection preserves user-contributed story chapters archived via the Wayback Machine. It focuses on the 'Choose Your Own Change' community's branching story paths.
Synthetic demographic and clinical data was created to train a classifier for diagnosing schizophrenia or depression. This dataset supports a tutorial on intersectional bias in model evaluation presented at the ACM FAccT 2022 conference. Author Marta Maslej released it under a Creative Commons license.
A synthetic dataset containing demographic and clinical data used to test a classifier's performance in predicting schizophrenia or depression diagnoses. It was created by Marta Maslej for a tutorial presented at ACM FAccT 2022 to assess models for intersectional bias. The dataset is licensed under CC-4Y and hosted on OpenML.
OPT provides busing, MetroCards, and reimbursement services to schools and other educational sites. The dataset includes public, private, and religious schools, offices, and Pre-K/EI sites within NYC or up to fifty miles into New York, New Jersey, or Connecticut. It was last updated on March 8, 2026, by the City of New York.
A current-year universe of Cook County parcels includes geographic, governmental, and spatial data. The dataset is updated monthly and contains data for the current tax year, which may not yet be final. Row and column counts are not specified.
A multi-client dermatology image dataset designed for Federated Learning. The dataset is hosted on Kaggle, but its author, size, and specific contents are not detailed in the provided metadata.
DEEP-LEARNING authored this text-based dataset, last updated on 2026-04-08. Its description suggests a focus on educational systems and institutional critique. The dataset's content likely contains textual commentary on socioeconomic themes.
Featuring virtual damage assessment and first-floor elevation data for 1,085 buildings impacted by Hurricane Helene (2024) in Horseshoe Beach and Cedar Key, Florida. It includes component-level damage states for roofs, walls, and foundations, as well as building characteristics like foundation type and occupancy. The data was validated against field assessments and Florida elevation certificates.
British Geological Survey data maps shrink-swell subsidence hazard to individual building polygons across Great Britain. It provides an overall susceptibility score (1-100) and factor-specific scores (1-10) for geology, foundation, drainage, building type, storey, and tree proximity, with aggregated postcode-level averages.
London Borough of Barnet publishes Data Protection Impact Assessments (DPIAs) to identify privacy risks in information handling, supporting compliance with the UK GDPR and 2018 Data Protection Act. The assessments help mitigate risks, reduce privacy breaches, and lower potential reputational damage or regulatory action.
LAC Equity Lab provides a dataset on the share of the female population aged 19-24 that is simultaneously in school and employed. The data originates from the World Bank platform under the Social Protection and Labor thematic area. Specific details on row count, temporal coverage, and last update are not provided.
LAC Equity Lab data measures the share of female population aged 15-24 who are both in school and employed. The dataset originates from the World Bank's LAC Equity Lab. It focuses on youth labor market participation and education status.
A World Bank indicator tracking the share of the female population aged 15-18 that is simultaneously in school and employed. The dataset is produced by the LAC Equity Lab, focusing on social protection and labor themes. The specific temporal coverage and geographic scope are not detailed in the provided input.
Share of the female population ages 19-24 that is in school and not employed, compiled by the LAC Equity Lab. This indicator focuses on a critical transition period between education and the labor market. It is sourced from World Bank data collections on social protection and labor.
A dataset containing the share of the female population aged 15-24 that is enrolled in school and not employed. It is produced by the LAC Equity Lab and sourced from the World Bank. The specific temporal and geographic coverage is not detailed in the provided information.
Share of the female population ages 15-18 that is in school and not employed. This indicator focuses on adolescent girls in Latin America and the Caribbean. The data is produced by the LAC Equity Lab.