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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,870 datasets
3 categories of student metrics covering productivity, study habits, and academic performance. These records analyze the relationship between student behaviors and scholastic results.
16,185 images derived from the Stanford Cars196 dataset, re-categorized into a binary classification task. The data is organized into two primary labels, 'car' and 'truck', specifically for educational use in computer vision tutorials.
Hosted on Kaggle, this dataset focuses on student engagement analysis and dropout prediction within online learning environments. It is categorized under education and economics tags, though specific record counts and authorship details are not provided in the source metadata.
This dataset explores the relationship between digital distractions and academic performance among students. It aims to provide insights into how screen time, lifestyle choices, and mental well-being collectively influence educational outcomes.
The Online Learning Student Dropout Dataset is a synthetic collection of data designed to predict student engagement and dropout risks within digital education platforms. It aims to provide a framework for identifying at-risk learners through multiclass classification techniques.
The Student Placement Prediction Dataset is a synthetic collection of 100,000 student records hosted on Kaggle. It is designed to facilitate the development of models for predicting job placement outcomes and salary levels within an educational context.
Binance Data 5min 300+ coins 3Years contains 5-minute interval trading data for over 300 cryptocurrencies from the Binance exchange. The dataset spans a three-year period, providing a granular time series for algorithmic trading and market analysis. Its origin and exact structure are unspecified.
Pawpularity_EDA_ShallowLearning is a dataset from Kaggle, likely related to a competition focused on predicting pet popularity. The dataset's title and platform tags suggest it contains tabular data for exploratory analysis and shallow learning techniques. Its specific content, size, and authorship are not detailed in the provided metadata.
A dataset from Kaggle focused on machine learning challenges related to concept drift and adaptive learning. The dataset likely contains tabular data for modeling environments where data distributions change over time. Specific details on size, author, and last update are not provided in the metadata.
92 exams from the 2006 ATA Spanish-to-English certification exam contain error data. Each error includes anonymized exam and grader IDs, MQM and ATA error labels, severity values, and source and target text segments. The dataset was authored by Will Carr and is hosted by Harvard Dataverse.
QVAC Genesis II expands the largest publicly available education-focused synthetic dataset for LLM training. It adds 10 new educational domains and introduces a novel Option-Level Reasoning Analysis data generation method, totaling 86 domains. The dataset was created by 'qvac' and updated in December 2025.
DenseAttention teacher model is a pre-trained machine learning model shared on Kaggle. The platform tag 'Pre Trained Model' suggests it is likely intended for knowledge distillation or transfer learning tasks. Specific details on architecture, training data, and performance are unavailable from the provided metadata.
ESA-PhiLab developed Major Tom as an expandable framework for Earth Observation, integrating Sentinel-1 and Sentinel-2 satellite imagery. Updated in February 2026, it provides a foundation for multi-spectral and remote sensing analysis despite currently undocumented record counts.
Kaggle hosts a list of notable GitHub repositories related to artificial intelligence and machine learning. The dataset's specific contents, such as repository metrics, stars, or topics, are not detailed in the available metadata. Its origin and update frequency are unknown.
NVIDIA released Nemotron-Cascade-SFT-SWE in late 2025, providing between 100,000 and 1,000,000 records for software engineering code repair tasks. The dataset aggregates samples from SWE-Bench-Train, SWE-reBench, SWE-Smith, R2E-Gym, and SWE-Fixer-Train, specifically filtered to support Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) stages.
A curriculum dataset for Emergency Medical Technician-Basic training, sourced from the paperswithcode platform. The dataset likely contains structured educational content, such as lesson plans, learning objectives, or assessment materials. Its specific content, size, and authorship are not detailed in the available metadata.
A Meta-Evaluation of Methods and Approaches to Reducing Bullying in Pre-Schools and Early Primary School in Australia is a dataset from paperswithcode. It likely contains data or analysis related to evaluating anti-bullying interventions in Australian early education settings. The dataset's specific content, size, and authorship are unknown.
Few-Shot Rule Learning Benchmark Dataset is a dataset hosted on Kaggle. The dataset likely contains examples and targets for evaluating few-shot learning algorithms focused on rule induction. Its specific content, size, and origin require verification after download.
Teaching Tools 2025 is a dataset uploaded to Hugging Face by author Jgmorenof. The dataset was last updated on January 27, 2026. Its title suggests it contains resources related to educational tools and methods.
A dataset from Kaggle linking student habits to academic performance. The specific number of records, features, and collection details are unknown. Its content likely includes variables related to study patterns and exam outcomes.