Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,953 datasets
City of Chicago data details the 2011 Chicago Public Library Summer Reading Program, an eight-week thematic initiative to encourage reading in children and teens. The dataset includes programmatic information, though specific row and column counts are unknown.
300,000 SVG vector codes aggregated from sources including SVG-Repo, Noto Emoji, and InstructSVG. The dataset was created by umuthopeyildirim and last updated on October 22, 2023. It provides vector representations suitable for applications in web development, design, and machine learning research.
SciCoT is a text dataset for instruction tuning, combining up to 3,000 examples each from the SciQ, MedMCQA, and PubMed_QA (human-annotated) datasets. It was created by author 'euclaise' and last updated on Hugging Face in November 2023. The dataset's composition suggests a focus on scientific and medical multiple-choice and question-answering tasks.
1 Python package for data distribution across AI workflows. The software facilitates the movement and accessibility of data for machine learning tasks.
1991-2016 data from the CDC's STATE System tracks state-level tobacco control funding. It includes appropriations from federal, state, RWJF, and Legacy sources, and expenditures categorized by CDC Best Practices program components. The dataset is maintained by the Centers for Disease Control and Prevention.
Malaysia textbook for primary and secondary school. The dataset includes materials for the KSSR (Kurikulum Standard Sekolah Rendah) primary school curriculum and the KSSM (Kurikulum Standard Sekolah Menengah) secondary school curriculum. It was uploaded by author haizad and last updated on Hugging Face in November 2023.
CMATH is a dataset of 1.7k elementary school-level math word problems with detailed annotations, sourced from actual Chinese workbooks and exams. It was created by weitianwen and last updated on Hugging Face in October 2023. The dataset aims to benchmark the mathematical reasoning abilities of large language models against specific grade levels.
14,906 questions across 63 tasks form the first multi-task language understanding benchmark for Indonesian culture and languages. The dataset was created by professional teachers using questions from primary school to university entrance exams in Indonesia. It was authored by Fajri Koto, Nurul Aisyah, Haonan Li, and Timothy Baldwin, and last updated on the Hugging Face platform in October 2023.
Filled with 1,000 Spanish-language theses from the National Autonomous University of Mexico (UNAM), with 200 theses from each of 5 academic programs. It is intended for text classification tasks and is monolingual in Spanish.
A collection of datasets derived from Copernicus satellite data, curated by Agri-Hub to enable artificial intelligence applications. The specific row count, column count, and data size are unknown.
650,000 unique synthetic textbook samples generated via the SciPhi repository, spanning educational levels from kindergarten to graduate school. The collection was produced using the Phind-CodeLlama-34B-v2-AWQ model to simulate a diverse library of instructional materials across a wide variety of courses.
Intrinsic Image Popularity is a dataset and PyTorch codebase for assessing the inherent popularity of images, as described in the associated research paper. The repository, created by author dingkeyan93, was last updated on November 25, 2023. It contains code for training and evaluating models on image popularity metrics, likely derived from social media platforms like Instagram.
Machine learning and aerogravity regression analyses produce the first continent-wide mapping of Antarctic sedimentary basins. The project, funded under the American Rescue Plan Act, tests the hypothesis that these basins correlate with locations of high ice flow velocity. Results and open-source code were disseminated by AMD_USAPDC in 2023.
Harmonized Landsat and Sentinel-2 satellite imagery of burn scars across the contiguous United States from 2018 to 2021. The collection contains 804 scenes, each 512x512 pixels, with associated segmentation masks. It was created by ibm-nasa-geospatial and uploaded to Hugging Face in September 2023 for training geospatial machine learning models.
TAL-SCQ5K-EN and TAL-SCQ5K-CN are high-quality mathematical competition datasets created by TAL Education Group, each consisting of 5,000 questions. The datasets contain 3,000 training and 2,000 testing questions in multiple-choice format covering primary, junior high, and high school levels. Detailed solution steps are provided to facilitate chain-of-thought training.
EDFacts Assessment, 2011-12 is a mandatory federal collection of cross-sectional data from states on student participation and performance in Reading/Language Arts, Science, and Mathematics assessments. The dataset contains key statistics from eight data groups covering Academic Achievement, Assessment Participation, and related flexibility measures at school, LEA, and SEA levels. Data were submitted through the centralized EDFacts Submission System (ESS) and are required for federal funding compliance.
A multilingual text corpus built from Wikipedia dumps, with one split per language. Each example contains the cleaned content of one full Wikipedia article, with markdown and unwanted sections like references stripped. The dataset was created by openskyml and was last updated on the platform in October 2023.
The 2015-16 National Postsecondary Student Aid Study (NPSAS:16) is a cross-sectional survey providing student-level records on financial aid and demographics. It represents undergraduate, graduate, and first-professional students enrolled in Title IV-eligible institutions across the 50 United States, D.C., and Puerto Rico. The study compiles data from institutional records, government databases, and student interviews.
National Reporting System data monitors performance accountability for federally funded, state-administered adult education programs. It is a universe collection requiring all states to submit data on participants receiving 12 or more hours of service, including demographics and outcomes. Key statistics cover student demographics, credential attainment, postsecondary placement, skill gains, and employment.