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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,819 datasets
CoDIT-LMSYS is a collection of 250,333 synthetic response texts generated for user instructions from the LMSYS-Chat-1M dataset. The data was synthesized using the CoDIT method by author Tatsuya-Ichinose, with specific versions generated by teacher models like Google's Gemma-3-27B-It and Qwen's Qwen3-8B. The dataset page was last updated on January 12, 2026.
WithinUsAI's TRM_Genesis_RealWorld_5k dataset contains 5000 examples of fact-based question-and-answer pairs. Each answer includes citations (fact_sources) and a verification tag, and prompts are designed to be short and optimized for tiny contexts. The dataset was last updated on 2026-01-04.
Iranian University Entrance Exam (Konkur) questions from the year 1404. The dataset contains 2,137 examples in Persian, sourced from the author mshojaei77 and last updated on Hugging Face in January 2026. It is designed for evaluating models on multiple-choice questions across various subjects.
Teaching Assistant Evaluation data contains student feedback on teaching assistants. The dataset is hosted by the UCI Machine Learning Repository, a known source for academic datasets. Specific details on the number of records, collection period, and original author are not provided.
Ivan Davidov curated this dataset of Bulgarian school exam results from the National External Assessment (НВО) and State Matriculation Exams (ДЗИ). It contains scores, rankings, and trends for Bulgarian schools. Specific details on row count, column features, and temporal coverage are not provided in the input.
Data drawn from the Texas Home Assessment of Asthma and Lung Exposures study examines differences in asthma control and treatment between Mexican American and non-Hispanic White children with persistent asthma in Central Texas. The dataset, authored by Darlene Bhavnani and harvested by the Texas Data Repository, was last updated on January 12, 2026. It contextualizes these disparities relative to those observed between Black and non-Hispanic White children.
Curated by the satellite-image-deep-learning organization, this resource aggregates satellite and aerial imagery for deep learning applications in Earth observation. The collection, updated in March 2026, includes remote sensing data and Sentinel imagery for various computer vision tasks.
A processed dataset linking student engagement, performance, and dropout risk in online learning. The dataset originates from the Open University Learning Analytics Dataset (OULAD) project. Specific details on the number of records, time period, and geographic scope are not provided in the input.
OULAD student performance data supports predictive modeling and explainable AI applications in education. The dataset is tagged for multiclass classification tasks, with models like Random Forest and Logistic Regression indicated as relevant.
Curated by GitHub user hail2thief and updated in March 2026, this repository provides a collection of datasets specifically for political science education. The repository functions as a pedagogical resource, though specific record counts and schema details are not provided in the metadata.
Titanic passenger data has been cleaned and annotated for learning and analysis. The dataset is hosted on Kaggle and is tagged as suitable for beginners. The specific number of rows, columns, and other metadata are not provided in the input.
Examre is a dataset related to student examinations and assessments, sourced from Kaggle. The dataset's specific content, scale, and authorship are not detailed in the provided metadata. Its nature is suggested by platform tags indicating it contains tabular data for educational analysis.
A dataset titled 'dataset.machinelearning' is available on the Kaggle platform. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its nature is suggested by the platform tags 'Machine Learning' and 'Tabular'.
LoadersExample is a dataset published on Kaggle. The title suggests it is an example or demonstration dataset, likely intended for illustrating data loading techniques. Specific details on its contents, size, and origin are not provided in the available metadata.
A dataset titled 'machinelearningbook' published on the Kaggle platform. The content likely contains material related to machine learning education, such as code examples, exercises, or text from a book. The specific author, organization, and temporal coverage are unknown.
Example7 is a dataset published on the Kaggle platform. The dataset's specific content, size, and structure are not described in the available metadata. Further details about its origin, creation date, and intended use require verification after download.
Example8 is a dataset published on the Kaggle platform. The dataset's content and purpose are not described in the provided metadata. Its scale, authorship, and temporal coverage are unknown.
Example video dataset published on Kaggle. The dataset likely contains video files, though the specific content, source, and creation date are not detailed in the provided metadata. Further details regarding the number of clips, resolution, and annotation are unavailable from the minimal input.
A dataset titled 'QC World University Ranking 2026' published on Kaggle. The content likely contains metrics for ranking universities globally for the year 2026. Specific columns, data volume, and the original author are currently unknown.
A sample dataset intended for educational purposes in sales analysis and data visualization. The dataset is hosted on Kaggle and is tagged for beginners in business and data analytics. Specific details on size, source, and license are not provided.