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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,904 datasets
1 million high-quality synthetic examples covering math, science, code, and puzzles. The dataset builds upon the previous OpenThoughts-114k and augments it with data from sources like OpenR1. It was created by open-thoughts and last updated on June 5, 2025.
A registry of public information maintained by the Department of Education and Science of the Sumy Regional State Administration. The dataset is available in Excel formats and was last updated on June 18, 2025. Its contents likely include records of administrative and educational information as part of a public accounting system.
MMMG introduces knowledge image generation as a new frontier in text-to-image research. The benchmark, created by MMMGBench and updated in June 2025, challenges models to produce educational and scientific visuals grounded in structured knowledge.
A dataset of conversational exchanges for training teaching and instruction-following AI models, created by author drwlf and updated in June 2025. Each conversation contains multiple turns with structured 'role' and 'content' fields.
Rustyface provides a Rust-based CLI for downloading artificial intelligence repositories, developed by AspadaX and updated in July 2025. This single-repository tool allows users to retrieve models and assets from the Hugging Face Hub without installing Python or standard library dependencies.
The 2024-25 school year dataset contains Washington Kindergarten Inventory of Developing Skills (WaKIDS) assessment results. Teachers observe kindergarten students across six developmental domains: Social-Emotional, Physical, Language, Cognitive, Literacy, and Math. The data likely contains readiness percentages and counts for various student groups at school, district, and county levels.
WaKIDS assessment data records observations of kindergarten students across six developmental domains: Social-Emotional, Physical, Language, Cognitive, Literacy, and Math. The dataset includes performance measures aggregated by student groups, schools, districts, and counties for the 2021-22 school year. It is published by the Washington Office of Superintendent of Public Instruction via data.wa.gov.
Washington State's 2022-23 school year assessment data includes performance metrics disaggregated by school, district, and state levels. It contains counts and percentages of students by grade level, gender, race/ethnicity, and special program participation. The data is provided by the Washington Office of Superintendent of Public Instruction via data.wa.gov and was last updated in May 2025.
Information on vacant places in communal preschool educational institutions in Ukraine. The dataset was last updated on 2025-06-18 07:47:40.711910 and is provided by the States site of Ukraine.
Report Card assessment data for the 2023-2024 school year, disaggregated by school, district, and state levels. The dataset includes counts and percentages of students by grade level, gender, race/ethnicity, and program participation, sourced from data.wa.gov and last updated in May 2025. A column for the percent of students taking an alternate assessment was added in January 2025.
2022-23 school year data tracks English Learner student outcomes across Washington's K-12 system. The dataset, published by data.wa.gov, disaggregates counts by grade level, school, district, and state. It includes metrics for students meeting standards and those making progress.
Texas public school district superintendent salary information as of October 2024. The data is provided by data.texas.gov and was last updated on May 14, 2025. It includes columns for Enrollment, Base Pay, Superintendent, District, District Name, County, Region, Charter Status, State, FTE, and FTE Pay.
Report Card assessment data from the 2021-2022 school year, aggregated by data.wa.gov. The dataset includes student performance metrics disaggregated by school, district, and state levels across various demographic and programmatic groups. Data covers test subjects, administration periods, and proficiency levels for students in Washington State.
The MISATO dataset is proposed in the CVPR 2025 (Highlight) paper "Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency". Authors from Fudan University created this dataset to address challenges in image inpainting. The dataset page was last updated on 2025-06-24.
Report Card English Learner Assessment data from the 2023-2024 school year, disaggregated by school, district, and state levels. The dataset includes counts of students by grade level and performance metrics, sourced from data.wa.gov. It was last updated on May 5, 2025.
Yulan Mini Text Datasets is a text corpus uploaded by the yulan-team. The dataset includes a tokenized version processed with BPE-Dropout to ensure accuracy. It was last updated on May 29, 2025, and the authors welcome contributions for feedback and feature suggestions.
A directory of educational entities and public libraries across Pennsylvania, maintained by the Pennsylvania Department of Education. It includes names, addresses, administrative details, and geographic coordinates for institutions ranging from school districts to higher education. The data was last updated on April 25, 2025.
A dataset designed to fine-tune an intelligent and adorable catgirl maid character. The data avoids detailed personal information such as names, ages, or specific backgrounds, making it compatible with datasets focused on self-awareness. The dataset was created by author kxdw2580 and last updated on June 7, 2025.
RL Mixed Dataset is a multimodal collection created by hiyouga by merging the geometry3k and math12k datasets. The dataset was last updated on June 11, 2025. It likely contains image-text pairs for mathematical and geometric problems intended for reinforcement learning research.
150,000 web navigation tasks were created by researchers from Carnegie Mellon University and Amazon to facilitate internet-scale training of LLM agents. The dataset is intended to reduce reliance on human annotations for agent training. It was uploaded to Hugging Face by the author 'data-for-agents' on May 28, 2025.