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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,868 datasets
Student performance data, likely containing academic metrics and demographic factors, sourced from the Kaggle platform. The dataset's specific variables, size, and collection methodology are not detailed in the available metadata.
A collection of teaching sources, likely containing educational materials or resources. The dataset is hosted on Kaggle, but its specific content, size, and creation details are not described in the available metadata.
Featuring information collected via the VarScout mobile application for monitoring native potato varieties at Colegio Cumbe, Cumbal, Colombia from 2023 to 2025. The data was gathered through a citizen science approach involving secondary school students and teachers in the Andean region of southern Colombia.
Nepali Dataset originates from a language school context, likely containing educational materials or student interactions. The dataset is hosted on Kaggle, but its specific size, structure, and creation details are not provided in the metadata. Users must download the data to verify its exact content and scope.
NVIDIA released the Nemotron-3-Nano-RL-Training-Blend in late 2024 as a curated collection for training the Nemotron-3-Nano-30B-A3B model. The dataset aggregates five specialized sub-datasets with precise mixing ratios, including 20% multiple-choice knowledge and 17% instruction following. It is designed specifically for Reinforcement Learning (RL) workflows in large language model development.
March Machine Learning Mania 2026 is a dataset hosted on Kaggle. The title suggests it contains data related to the NCAA basketball tournament, likely for predictive modeling competitions. Specific details on columns, size, and authorship are currently unavailable.
This dataset replicates the randomization for an experimental study on teaching and learning in multi-grade rural schools in Colombia. The data was authored by Samuel Berlinski and is hosted by Harvard Dataverse.
Top Hits Spotify from 2000-2019 data for education is a dataset hosted on Kaggle. The title suggests it contains information on popular songs over a 20-year period, likely intended for educational analysis. Metadata is minimal; the actual content and structure require verification after download.
A dataset from Kaggle focusing on education and socio-economic indicators in Nepal. The data likely contains time-series metrics for the period 2020–2026. Its specific variables, scale, and original author are unknown from the provided metadata.
Kaggle hosts the March Machine Learning Mania competition dataset for 2026. The dataset likely contains historical and current sports statistics for predictive modeling. Its specific contents, such as team performance, player metrics, or game outcomes, require verification after download.
A dataset from Kaggle for research on tuberculosis diagnosis. It likely contains medical images of Ziehl-Neelsen stained slides used for detecting acid-fast bacilli. The dataset is intended for quantitative deep learning assessment of bacterial load.
A hybrid deep-learning Monte Carlo framework likely for simulating or analyzing Thallium-201 alpha particle emissions in personalized medical contexts. The dataset's exact size and structure are unknown, but it originates from Kaggle under the 'Research' tag. The author, organization, and last update date are unspecified.
March Machine Learning Mania 2026 is a dataset associated with a Kaggle competition. The dataset likely contains data for a machine learning challenge, though its specific content and size are unknown. Kaggle competitions typically provide data for participants to build predictive models.
Titanic passenger data is a canonical introductory dataset for machine learning competitions. The description indicates it is used for learning from a disaster scenario. Its specific size, origin, and update details are not provided in the input.
Real-world face images captured by camera. The dataset is hosted on Kaggle and is intended for computer vision and deep learning applications. The author, organization, and specific collection details are unknown.
Validator data from the Solana blockchain network, likely containing performance metrics and operational statistics for nodes that secure the network. The dataset is hosted on Kaggle, but specific details on its size, features, and creation date are not provided in the metadata. Columns may suggest information on uptime, stake, rewards, or network participation.
Chronological records of US school shooting incidents spanning from April 20, 1999, to the present day. The dataset categorizes events by specific date and school location to facilitate longitudinal analysis of campus violence over two decades.
Medical and demographic features categorized for cardiovascular health assessment. These records facilitate the prediction of heart disease risk using patient-level clinical and personal attributes.
8,763 synthetic patient records across 26 health and lifestyle features. Clinical metrics, demographic information, and behavioral factors are provided to facilitate the modeling of cardiovascular outcomes.
3 categories of academic scores—maths, reading, and writing—recorded for a collection of students. The dataset provides individual performance metrics to facilitate educational assessment and cross-subject proficiency analysis.