Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,526 datasets
Income and education data explores the relationship between formal schooling and annual earnings across two samples. The dataset originates from Kaggle, focusing on standardized testing and university contexts. The specific sample size, author, and last update date are not provided.
Past papers for the 12th-grade Computer Science subject administered by the Board of Intermediate Education Karachi cover a 10-year period from 2015 to 2025. The collection includes multiple-choice questions, short questions, and long questions. The data was compiled for the BIEK examination board.
10,000 university student records explore the relationship between study habits, sleep, and academic performance. The dataset is sourced from Kaggle and focuses on factors influencing student outcomes.
Student performance data captures academic scores and study habits. The dataset originates from Kaggle and includes tabular data tagged for education, beginner, and intermediate levels. Specific details on volume, author, and update date are unavailable.
UCI data on student academic outcomes, including dropout and graduation. It contains demographic, academic, and socioeconomic factors for analysis. The original source is the UCI Machine Learning Repository.
Track metadata from Spotify's music catalog, curated for data science applications. The dataset includes audio features and track information suitable for analysis and machine learning. The author and specific collection details are unknown.
Employee data includes demographics, performance metrics, and educational backgrounds. The dataset is sourced from Kaggle for exploratory data analysis and classification tasks. Its specific size, author, and last update date are unknown.
Machine learning data published on Kaggle. The dataset likely contains examples or exercises related to core ML concepts. Its specific content, size, and origin are not detailed in the available metadata.
Aggregating five raw microscopic images of Chlorella microalgae captured using bright-field light microscopy at 40× magnification. The images are in JPEG format and are intended for research and educational use in computer vision and machine learning.
Kaggle hosts this example dataset titled 10ExampleTest. The dataset likely contains example data for testing purposes. Metadata is minimal, with details such as column names, size, and license unknown.
Example_from_video is a dataset hosted on Kaggle. Its title suggests it contains video-related data, likely intended for analysis or demonstration. The dataset's author, organization, and specific content details are unknown.
Dataton_example is a dataset published on Kaggle. Its content and structure are inferred from the title, which suggests it may be an example or tutorial dataset. The dataset's specific size, origin, and update date are unknown.
A dataset hosted by the mlx-community on Hugging Face, last updated on 2026-01-30. It is a 400K-instance collection designed for supervised fine-tuning (SFT) of large language models, specifically excluding tool-use instructions. The description provides examples for training with the MLX-LM and MLX-LM-LoRA frameworks.
Dolci-Instruct-SFT-No-Tools-200K is a 200,000-instruction dataset for supervised fine-tuning of language models, published by the mlx-community on Hugging Face. The dataset is designed for training models without tool-use capabilities, as indicated by its title. It was last updated on January 30, 2026.
Real property tax receivables data from King County, Washington, last updated in March 2026. The dataset is available in multiple formats including XML, RDF, JSON, and CSV. Specific details on row count, column structure, and data attributes require review of the referenced description file.
City University of New York (CUNY) institutions are listed with their geographic coordinates and contact details. The dataset is provided by the State of New York and was last updated on March 7, 2026. It is available in multiple machine-readable formats, including XML, RDF, JSON, and CSV.
LearningBenchmark is a dataset published on Kaggle. Its title suggests it is likely designed for benchmarking machine learning models or educational tasks. Metadata is minimal; actual content requires verification after download.
Benchmark results likely from the Bench-NATA learning challenge or evaluation framework. The dataset is hosted on Kaggle, but the author, organization, and specific collection details are not provided. The content appears to contain performance metrics for machine learning models.
Student performance data, likely containing metrics related to academic achievement. The dataset is hosted on Kaggle, but its specific origin, size, and creation date are not provided in the metadata. Columns and sample data are unknown, limiting immediate assessment of its structure and content.
3D models and geospatial data designed for evaluating damage and planning relief after natural disasters. The dataset's specific volume, creator, and update history are not provided in the source description.