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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,823 datasets
10,000 recent papers on machine learning and deep learning, including abstracts. The dataset covers publications from 2020 to 2026. The original author and organization are unknown.
Multivariate biomarker development data likely derived from multi-echo resonance techniques. The dataset originates from Kaggle and is categorized under Research. Specific details regarding size, authorship, and update frequency are unavailable.
Self-reported admission records detail university, intake term, program, and degree type. The dataset is hosted on Kaggle and is tagged for feature extraction and classification tasks. Its specific source, size, and collection date are not provided.
An answer key dataset for Turkey's YKS university entrance exams, covering the TYT, AYT, and YDT components. The data spans the years 2018 to 2025. The dataset was sourced from Kaggle, but the original author and specific collection method are not provided.
A collection of prompt and completion pairs contributed by teachers and students in Singapore. It is tagged for topics including Prompt Engineering, Education, and Large Language Models. The specific number of rows, columns, and file formats are unknown.
A dataset from the UCI repository focuses on assessing mathematics learning in higher education. It contains tabular data on student performance, likely including metrics from assessments or coursework. The original author and specific row count are unknown.
Higher Education Students Performance Evaluation dataset contains records of student academic performance. It is hosted on the UCI Machine Learning Repository. Specific details on the number of rows, columns, and collection date are not provided in the input metadata.
Student academic records from a higher education institution, hosted on the UCI Machine Learning Repository. The dataset is intended for predicting student dropout and academic success outcomes. Platform tags indicate a focus on Educational Data Mining.
UCI Machine Learning Repository provides this dataset on student performance for an entrance examination. It contains records of student scores and related attributes. The original source and collection date are not specified.
DeliciousMIL is a dataset designed for multi-label multi-instance learning (MIL) research. The dataset provides instance-level labels within its bag structure, a feature for advanced MIL algorithm development. It originates from the UCI Machine Learning Repository.
UCI Machine Learning Repository provides a dataset for assessing software engineering teamwork in an educational context. The dataset's specific size and creation date are not provided. It is categorized under Student Performance, Software Engineering, and Education Research tags.
A collection of digital colposcopy images for evaluating image quality. The dataset is sourced from the UCI Machine Learning Repository and is intended for computer vision tasks in cervical cancer screening. It includes platform tags indicating its focus on medical imaging and quality assessment.
Educational Process Mining (EPM) data captures student learning behaviors and activities for analysis. The dataset is hosted on the UCI Machine Learning Repository and is associated with the fields of educational data mining and learning analytics. Specific details on record count, creation date, and original authors are not provided in the input metadata.
Firm-Teacher_Clave-Direction_Classification dataset originates from the UCI Machine Learning Repository. It contains administrative records related to teacher classification within schools. The dataset is categorized for education research.
A collection of business email addresses from Vietnam, intended for data science projects. The dataset is tagged for Corporate Communication and Contact Information. Specific details on volume, columns, and source are not provided.
Egyptian Startups & Founders Educational Background is a dataset from Kaggle. It likely contains information about the educational histories of entrepreneurs in Egypt's startup ecosystem. The specific columns, size, and creation details are not provided in the metadata.
MosaicML Streaming provides a data streaming library for efficient neural network training, developed by MosaicML and updated in February 2026. It focuses on high-performance data loading for PyTorch-based deep learning workflows.
Designed for predicting student academic performance. It includes features such as CGPA, study habits, and attendance data. The specific number of rows and columns is unknown.
Customer records from the Vault platform categorized for churn prediction. The data facilitates the calculation of attrition probabilities to identify users likely to discontinue service. It provides a basis for binary classification models focused on customer retention.
Giving access to university student metrics from the Asia region focused on predicting Cumulative Grade Point Average (CGPA). It incorporates behavioral data including attendance, study habits, and lifestyle factors, though specific record counts and authorship dates are not documented in the source metadata.