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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,860 datasets
Clinical and diagnostic features for predicting the presence of heart disease. The dataset is hosted on Kaggle and is tagged for data visualization, health, and analytics. Specific details on size, source, and update frequency are not provided.
A dataset for detecting counterfeit fashion brands using deep learning and compute. The dataset likely contains images of branded fashion items from brands such as Adidas, Nike, Gucci, and Puma. The dataset's author, organization, size, and license are unknown.
Kaggle hosts a synthetic dataset containing 300,000 records for student performance prediction. It likely contains realistic academic, behavioral, and lifestyle features for machine learning tasks. The author, organization, and last update date are unknown.
Behavioral metrics and learner engagement data for predicting course quality. The dataset is hosted on Kaggle and is intended for binary classification tasks. Its specific size, origin, and update history are not detailed in the provided metadata.
Pixel-level semantic masks for multi-task learning and pasture analysis. The dataset appears to be focused on agricultural and environmental computer vision tasks. The author, organization, and temporal coverage are not specified in the provided metadata.
Audio data for speech emotion recognition, likely containing speech recordings and extracted features. The dataset is sourced from Kaggle and utilizes Mel-frequency cepstral coefficients (MFCC) for feature extraction. The specific collection methodology, size, and authorship are not detailed in the available metadata.
A multimodal dataset from Kaggle containing audio recordings, spectrogram images, and student learning metrics for teaching analysis. The author, organization, and specific scale of the data are not provided. The last update date and geographic scope are unknown.
Kaggle hosts a dataset for analyzing the relationship between study duration and examination results. The dataset likely contains records of student study hours and corresponding exam scores. Its provenance and specific scale are unknown.
A dataset exploring the relationship between rising temperatures and academic performance in schools. The data likely contains variables related to weather conditions and educational outcomes. It was sourced from Kaggle, but the author, organization, and last update date are unknown.
A curriculum stage for training the Lighthouse-DSL model on a URA graph. The description indicates it is a warm-start phase, suggesting it is part of a structured machine learning training process. The dataset's specific size, origin, and creation date are not provided.
A synthetic research dataset focused on collateral liquidity with a seasonal back-to-school theme. The dataset was created for research purposes and is dated March 25, 2026. Its specific origin, size, and detailed structure are not provided in the available metadata.
500,000 student records covering academic performance, behavior, and psychology. The dataset is hosted on Kaggle and is tagged as synthetic. The last update date and specific temporal coverage are unknown.
20,000 text records containing legal and government documents related to the Jeffrey Epstein case were reuploaded by user teyler in late 2024. The collection aggregates public records for research into information retrieval and media studies within the United States legal domain.
This JSON-formatted chemistry dataset powers the 'Atomic - Periodic Table' Android application developed by JLindemann42. Updated in February 2026, it provides structured element properties designed for integration with Kotlin-based mobile interfaces and Material Design components.
Wikidata Truthy contains RDF triples from Wikidata, converted to HuggingFace dataset format for machine learning pipelines. The dataset includes preferred statements from Wikidata, comprising approximately 100 million entities and 2 billion triples. It was created by CleverThis and last updated in December 2025.
OpenMathInstruct-2 (formatted) is an instruction-tuning corpus for mathematics containing 13,972,791 examples. The dataset, created by author mssfj, was last updated on December 12, 2025. Each entry includes a natural-language question and an answer with an explicit chain-of-thought reasoning section.
A dataset aggregating information related to business concepts, educational topics, job listings, and skill requirements. The dataset is hosted on the Kaggle platform, but its specific size, origin, and update history are not provided. Its content likely contains structured records linking these four domains.
Boughter Antibody Polyreactivity Dataset contains 914 antibody heavy chain variable domain (VH) sequences with binary polyreactivity labels. The data was originally published by Boughter et al. in 2020 and has been preprocessed according to the methodology described in Sakhnini et al. 2025. The dataset was uploaded to the platform by hugging-science on December 17, 2025.
Machine Learning Books is a dataset published on Kaggle. The dataset likely contains a list of books related to machine learning, artificial intelligence, and data science. Specific details on the number of entries, columns, and source are not provided in the available metadata.
A dataset related to exam environments, likely containing variables that describe testing conditions or student performance. It is hosted on Kaggle, a platform for data science and machine learning projects. The specific content, size, and authorship require verification after download.