Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,869 datasets
Synthetic candidate profiles categorized by standardized technology job roles and specific technical skills. These profiles provide structured representations of professional personas designed to simulate recruitment and talent acquisition scenarios.
This dataset tracks 14 days of longitudinal mood dynamics collected from a general population sample using the Patient Health Questionnaire-9 (PHQ-9). It captures daily fluctuations in depressive symptoms across nine standardized diagnostic criteria for clinical depression in an ambulatory setting.
American Sign Language (ASL) alphabet images across fingerspelling categories for computer vision tasks. This dataset provides labeled hand gestures to support machine learning model training for sign language recognition.
6,497 labeled wine samples across two categories (red and white) characterized by their physicochemical properties. The data includes 12 chemical attributes such as acidity, sugar, and alcohol levels used to distinguish between wine types.
Customer behavior records and churn labels are the primary categories provided for machine learning. This dataset enables retention analysis by mapping behavioral metrics to specific churn outcomes.
Physical exercise terminal positions captured for pose recognition. The data represents the static end-states of various movements to facilitate exercise classification. It provides a targeted resource for identifying the completion phase of physical activities.
Research papers categorized as scholarly knowledge are aggregated in this dataset. It provides a repository of academic publications for information retrieval and analysis.
Student feedback records and institutional academic performance evaluations are the primary categories in this dataset. These entries provide student-sourced assessments for evaluating educational delivery and institutional standards.
Synthetic cancer genomic variants categorized for machine learning research and model validation. These simulated genetic sequences facilitate the study of oncological mutations without the privacy restrictions associated with human clinical data.
10,000 student records containing 25 features that span study habits, demographic data, and GPA outcomes. The dataset provides granular behavioral metrics alongside academic performance indicators for a large-scale cohort.
500 machine learning and data science interview questions and answers organized into 10 distinct technical categories. Each entry is tagged with one of 3 difficulty levels to facilitate targeted study or candidate assessment.
This dataset tracks student academic behaviors across categories including study hours, online course enrollment, and sleep patterns. It maps these behavioral inputs against final exam performance to facilitate educational outcome analysis.
60,000 color images of 32x32 pixels categorized into 100 distinct classes and 20 superclasses. The dataset is partitioned into 50,000 training images and 10,000 test images, with each class containing exactly 600 instances.
Two categories of data—AI tool usage and academic performance—are provided for students. These metrics facilitate the exploration of how artificial intelligence tools influence student achievement.
This collection features multiple-choice questions (MCQs) categorized across technical domains and recruitment tracks including TCS NQT, AI & ML, and SAP. Each entry includes the question text, multiple options, the correct answer, and a detailed explanation for the solution.
600 million tokens of exam reasoning text structured for training competitive artificial intelligence models. The corpus aggregates academic and competitive examination materials to support complex logical deduction and problem-solving tasks.
4 model checkpoints for the vit_huge_plus_patch16_dinov3 architecture trained using a 4-fold cross-validation strategy. These weights are specifically optimized for biomass prediction and achieved a 0.74 silver medal score in a CSIRO competition.
Protein sequence variants and catalytic activity measurements for miniaturized myoglobin scaffolds redesigned via deep learning. The collection documents structural modifications and their corresponding impact on enzymatic efficiency.
Student records categorized into demographic, academic, and behavioral information domains. These variables support the analysis of individual factors influencing educational achievement and school performance.
7 tables of data representing 32,593 students across 22 module presentations at the Open University. It includes demographic information, assessment scores, and 10,655,280 records of student interactions with the Virtual Learning Environment (VLE).