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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,913 datasets
2021-2022 academic year data lists bilingual education programs across New York City schools. It details program types, languages offered, and school-level administrative information. The dataset is provided by the City of New York's open data portal.
Class size data for middle and high school grades in New York City includes Program Type, School Name, and calculated Average Class Size. The dataset is published by data.cityofnewyork.us and was last updated in November 2024.
A 2024 pretraining dataset associated with the arXiv paper 'Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali'. The dataset was created by Wiseyak and last updated on Hugging Face on December 31, 2024. It is intended for research in continual learning and domain adaptation for low-resource languages.
AI-MO released this collection of approximately 860,000 math problems with step-by-step Chain of Thought (CoT) solutions in late 2024. The data spans Chinese high school exercises to international Olympiad competitions, sourced from PDFs and online forums via OCR.
School profile information for all schools in the Chicago Public School district for the school year 2024-2025. The dataset includes 40 columns covering demographics, contacts, transportation, and geospatial coordinates. It was published by data.cityofchicago.org and last updated on November 10, 2024.
Directory of NYC High Schools for the 2014-2015 academic year, published on the data.cityofnewyork.us platform via Socrata. The dataset includes columns such as Census Tract, total_students, school_sports, and Location 1 (address). It was last updated on 2024-11-26 23:11:37.
New York City's Department of Education provides location and administrative details for schools from 2019 to 2020. The dataset includes fields such as location_name, Borough_block_lot, Administrative_District_Name, and Principal_phone_number. It was published by data.cityofnewyork.us and last updated in November 2024.
An entrance exam dataset uploaded to Hugging Face by datavorous on January 3, 2025. The description indicates a need for data cleaning tasks, including duplicate removal and handling missing values. The dataset's specific content, size, and structure are not detailed.
A work in progress, as indicated by its description. The author is cl-nagoya, and it was last updated on January 14, 2025. No information is available on its contents, size, or structure.
The Chess Games dataset by angeluriot is a collection of 14 million high-level chess games for training machine learning models. It contains 1.2 billion moves played between 1600 and 2024, with a mean player ELO of 2388 and a mean of 84 moves per game. The dataset was last updated on Hugging Face in November 2024.
2018-2019 school year data details Career and Technical Education programs across New York City high schools. The report provides information on program characteristics, student enrollment, graduation rates, and teacher staffing across seven structured tabs. It was produced by the New York City Department of Education in compliance with Local Law 174.
Instruction following data formatted for reinforcement learning with verifiable rewards. Prompts were generated by sampling from the Tulu 2 SFT mixture and adding constraints from IFEval. The dataset was created by AllenAI and last updated on November 21, 2024.
Updated in February 2025, this GitHub repository curated by shivam-maurya-git serves as a directory of external dataset sources. It functions as a meta-collection of links and references for open-data discovery across the internet.
The National Center for Education Statistics (NCES) provides annually updated administrative characteristics for all public school districts in the United States for the 2022-23 academic year. Attributes include directory information, student and teacher counts, and grade span, collected from state education officials via the Common Core of Data (CCD) program. District boundaries are developed by the NCES EDGE program and clipped to the U.S. shoreline.
NCES's EDGE program provides annually updated composite files of public school district boundaries clipped to the U.S. shoreline, developed from the 2021-22 Common Core of Data collection. The dataset includes administrative characteristics such as directory information, student and teacher counts, and grade span, reported by state education officials.
A geospatial dataset containing the 'Taus' development plan for the town of Backnang, Germany. The data is provided via a Web Feature Service (WFS) from the XPlanung 5.0 standard and represents a reassessment of specific land parcels. The dataset was last updated on 2024-11-27 by the Bundesamt für Kartographie und Geodäsie.
WMS XPlanung BPL 'Hinterer Hof' is a Web Map Service (WMS) providing geospatial data for the Back Courtyard Development Plan of Backnang City, based on the XPlanung 5.0 standard. The service, published by the Bundesamt für Kartographie und Geodäsie, describes a reassessment in the area of parcels 127 and 128. It was last updated on 2024-11-26.
2016-17 to 2020-21 school year data on student attendance and chronic absenteeism from New York City public school districts 1-32 and 75. The dataset tracks attendance attributed to the school a student attended at the time, with chronic absenteeism defined as attendance of 90% or less. Data includes demographic breakdowns for Students With Disabilities and English Language Learners, with suppression applied to protect student privacy.
The National Center for Education Statistics' EDGE program provides annually updated point locations and administrative data for all public elementary and secondary schools in the United States. The dataset includes latitude and longitude coordinates, basic directory information, student demographics, teacher counts, and school grade span for the 2022-2023 academic year.
NCES EDGE program provides annually updated geographic point locations for postsecondary institutions in the Integrated Postsecondary Education Data System (IPEDS). The data layer is developed from the 2022-2023 IPEDS collection, which includes colleges, universities, and technical schools participating in federal student aid programs. Institutions are located using address information from the IPEDS directory file.