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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,913 datasets
Point locations and administrative data for public elementary and secondary schools in the United States, compiled from the 2018-19 Common Core of Data collection. The dataset includes school characteristics such as student demographics, teacher counts, and grade spans, developed by the National Center for Education Statistics in collaboration with the U.S. Census Bureau.
The National Center for Education Statistics annually collects administrative and fiscal data for all public schools, districts, and state agencies in the United States. This 2021-22 collection includes point locations derived from physical addresses and provides characteristics on student demographics, teacher counts, and school grade span.
Annually updated point locations for public elementary and secondary schools across the United States, developed by the National Center for Education Statistics' EDGE program. The data originate from the Common Core of Data collection and include school characteristics such as student demographics and grade span.
64,000 preference pairs from the Ultrafeedback dataset, sampled and ranked into difficulty levels. This dataset was created by ServiceNow-AI for curriculum learning experiments in model alignment, as described in the Curri-DPO paper. It was last updated on November 13, 2024.
Annually updated point locations and administrative data for all public elementary and secondary schools in the United States, compiled by the National Center for Education Statistics. The dataset includes school characteristics such as student demographics, teacher counts, and grade span, representing the most current Common Core of Data collection.
NCES EDGE program provides annually updated point locations for public elementary and secondary schools from the Common Core of Data. The dataset includes geographic coordinates and administrative information such as student demographics, teacher counts, and school grade span. Data is supplied by state education agencies and represents the most current CCD collection.
United States point location data for postsecondary institutions, developed annually by the National Center for Education Statistics (NCES). The dataset contains latitude and longitude coordinates for all institutions reported in the Integrated Postsecondary Education Data System (IPEDS), with collections available from the 2015-16 to 2022-23 academic years.
AllenAI's Achieve The Core dataset contains Common Core math standards, their descriptions, and associated metadata sourced from Achieve the Core. Each standard includes an ID, description, source, level, cluster type, and hierarchical relationships. The dataset was last updated on November 13, 2024.
Ficbook is a dataset of 1.4 million fan fiction stories collected from the ficbook.net platform. The dataset was created by Ilya Gusev and is primarily in Russian. Collection was reported as still in progress as of the last update on November 7, 2024.
Hildesheim, Germany's urban development plan for school grounds, transformed into the INSPIRE 'Planned Land Use' application scheme. The data originates from an XPlanung dataset in version 5.2 and is provided as a WFS service by the Bundesamt für Kartographie und Geodäsie. It was last updated on November 6, 2024.
4,511 images of plastic debris were captured in a tank at the University of Washington's Ocean Technology Center using a 1080p webcam. The dataset was created by OceanCV and uploaded to Hugging Face on November 4, 2024. Its goal is to enhance the detection and classification of plastic types commonly found in marine environments.
Sinelnikovo's educational workforce data provides a snapshot of teaching staff in a Ukrainian municipality. The dataset was published by the States site of Ukraine and last updated on November 15, 2024. It is available in PDF, CSV, and Excel formats.
2023-2024 school year progress reports for all Chicago Public Schools, based on data from the 2022-2023 academic year. The dataset includes ratings and metrics across multiple performance categories, such as academic growth, attainment, graduation rates, and student behavior. It is published by the City of Chicago's open data portal.
The Civil Rights Data Collection for the 2015-16 school year is a cross-sectional universe survey of the nation's public schools. It collects administrative data on student enrollment, educational programs, and services, disaggregated by race, ethnicity, sex, English proficiency, and disability. The dataset is produced by the U.S. Department of Education's Office for Civil Rights.
The Civil Rights Data Collection for the 2013-14 school year is a universe survey of the nation's public schools, gathering data on enrollment demographics, advanced placement, school discipline, and special education services. Collected by the Department of Education, it provides administrative records disaggregated by race/ethnicity, sex, English proficiency, and disability.
The Civil Rights Data Collection for 2017-18 is a universe survey of all public schools in the United States, administered by the Department of Education. It provides data on enrollment demographics, advanced placement, school discipline, and special education services, disaggregated by race, sex, English proficiency, and disability.
1 mission statement promoting the collaborative creation of datasets. The text consists of a title and a single-sentence description without accompanying tabular or image data.
The 2017-18 IPEDS Access Database contains annual survey data from approximately 6,400 U.S. colleges, universities, and technical institutions. It is a relational database with metadata tables, variable descriptions, and value labels for categorical variables, compiled by the U.S. Department of Education's National Center for Education Statistics.
This repository by sheatsley provides Python 3 scripts for downloading and converting 10+ machine learning datasets into NumPy arrays, with the most recent update in January 2025. It focuses on automating the preprocessing pipeline for specific benchmarks in cybersecurity and computer vision, such as CIC-MalMem-2022 and CIFAR-10.
Math test results for New York State exams from 2013 to 2023, published by the City of New York. The data is tagged with categories including School, Grade, ELL, and SWD.