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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,193 datasets
The ReVSI benchmark and dataset was introduced in the paper 'ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning'. It was created by researchers from Simon Fraser University, Hong Kong University of Science and Technology, University of Waterloo, and the Alberta Machine Intelligence Institute (Amii). The dataset page was last updated on 2026-04-27.
64,164 Chinese-language question-and-answer pairs formatted for supervised fine-tuning (SFT), created by user callofthenight1 and last updated on Hugging Face in April 2026. The dataset is split into 62,920 training and 1,244 validation samples, covering multiple subjects from the Chinese national college entrance exam (Gaokao).
A 30-week study from 2026 assessed the effectiveness of a blended learning model on 192 pre-service computer science teachers from two universities in Shymkent, Kazakhstan. The dataset contains pre-test and post-test scores measuring subject, methodological, and ICT competencies for experimental and control groups. Results include statistical comparisons with t-test values, p-values, and Cohen's d effect sizes.
GLM-5.1-Reasoning-1M-Cleaned is a cleaned and reformatted derivative of the Kassadin88/GLM-5.1-1000000x dataset, prepared by EngMuhammadAtef. It preserves the original four-subset layout (main, PHD-Science, Multilingual-STEM, Math) while converting examples into a unified schema with explicit conversation, input, output, domain, and meta fields.
Myanmar is the geographic focus of this dataset, which contains 2,372 paired satellite image chips and binary water body masks. Each sample consists of an 8-band Landsat-8 image and a corresponding single-channel label, both at a spatial resolution of 30 meters per pixel. The data is intended for training and evaluating deep learning models for water body segmentation and environmental monitoring.
UNHCR's 2022 RMS pilot survey monitors progress towards education enrollment and sustainable livelihoods results for persons of concern in Nepal. The survey is designed to be representative of the refugee population and informs annual implementation plans and budgeting. Data collection was streamlined to assess impact and outcome level results as part of a multi-year country strategy.
From 2010 to 2012, this dataset provides baseline measurements of chemical contamination in sediment, coral (Porites asteroides), and conch (Strombus gigas) samples from the St. Thomas East End Reserve (STEER) in the U.S. Virgin Islands. It was collected by NOAA scientists as part of the National Status and Trends Program and includes analysis for PAHs, PCBs, pesticides like DDT, trace elements, and butyltins. The project involved partners from NOAA's COAST and Biogeography Branches, the USVI Department of Planning and Natural Resources, the University of the Virgin Islands, and The Nature Conservancy.
The Aquarius V5.0 dataset provides near-global sea surface salinity data at 0.5-degree spatial resolution on a 7-day repeat cycle. It is produced by the International Pacific Research Center at the University of Hawaii using optimally interpolated data from the NASA/CONAE Aquarius/SAC-D satellite mission. The product corrects for systematic biases using in-situ observations and includes enhancements for coastal coverage and radio-frequency interference filtering.
New York City's School Construction Authority maintains a registry of firms approved for construction and maintenance work. The list includes vendor contact details, trade classifications, and business status indicators such as minority-owned or women-owned designations. Data is published by data.cityofnewyork.us and was last updated in April 2026.
A dataset established to assess factors affecting AI-TPACK (Technological Pedagogical Content Knowledge for AI) in pre-service teacher programs. The data was authored by Muhammad Sofwan and last updated on 2026-04-15. It is a 465.8 KB XLSX file available under a CC-BY-4.0 license.
Survey data from Najran University scholarship students in the United Kingdom, focusing on their role in cultural bridging and civilizational dialog. The dataset is 6.2 KB in size and was authored by Taleb Al-Hamami. It was last updated on 2026-04-19.
18 January 2022 satellite imagery analysis of Nomuka Island, Tonga, following the Hunga Tonga-Hunga Ha'apai volcanic eruption. The United Nations Satellite Centre (UNOSAT) identified 260 structures, with 52 damaged/destroyed, 13 potentially flooded, and almost all covered with ash. This is a preliminary analysis from a Pleiades image acquired on 18 January 2022, 10:45 local time.
City of Melbourne Open Data provides descriptions and coordinates for landmarks and places of interest. The dataset categorizes locations into 12 themes, including Community Use, Health Services, and Place of Worship, with further sub-themes like Art Gallery/Museum and Railway Station. It was last updated in March 2026.
Aroa Martínez García's 2026 study provides a systematic literature review on gender equality. The analysis, following PRISMA methodology, screened 511 documents and included 303 after duplicate removal. It identifies key research areas including labor, domestic responsibilities, health, culture, economy, gender-based violence, and recognition of women's contributions.
9.8 KB of cleaned data supporting a submitted research manuscript for the journal Computers & Education. The dataset, authored by Pauline Guileño and shared under a CC-BY-4.0 license, was last updated on April 13, 2026.
Aggregating results from a linear mixed model analyzing the correlation between learner-centered teaching practices and student exam performance in STEM courses. The analysis is based on classroom observations of 146 STEM courses using the PORTAAL observation tool. It examines interactions of binary gender and first-generation status with teaching practices on exam scores.
Aggregating PORTAAL classroom observation data from 146 STEM courses, used to analyze the correlation between teaching practices and student exam performance. It was created by Mallory A. Jackson and last updated in March 2026.
Results from the open response items of the legacy Massachusetts Comprehensive Assessment System (MCAS) are available for students averaging a score of 2 or above between 2009 and 2021. The data is published by the Massachusetts Department of Elementary and Secondary Education on the educationtocareer.data.mass.gov platform. It covers grades 3-10 in English Language Arts and Mathematics, and grades 5, 8, and high school in Science and Technology/Engineering.
Supplementary Table S2 presents analysis of effect sizes in test scores among groups. The research evaluated whether using the mind map technique enhances knowledge gain and long-term retention among medical students. The dataset was authored by Rashmi Chandel and is available under a CC-BY-4.0 license.
Group median values and statistical outliers are identified for a final learning block and a pre-sleep test. Data is provided in a 16.7 KB XLSX file by author Xianhui He, last updated in April 2026. Outliers are flagged using a three-scaled median absolute deviation (MAD) method from the group median.