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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,826 datasets
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.
Open and Closed Eyes Dataset supports computer vision tasks for recognizing eye states. The dataset is hosted by VasilyLoginov on Hugging Face and was last updated on December 29, 2025. Its structure is stored in Parquet files, which suggests an efficient format for handling image metadata or features.
A fine-tuning starter pack comprising five datasets, each with 5,000 examples, packaged by WithinUsAI. The datasets are designed to train core behaviors for AI assistants, including instruction-following, tool calling, and preference learning. The dataset page was last updated on January 3, 2026.
dif_MRItumor is a filtered subset of brain tumor MRI data curated for partial label learning. The dataset is hosted on Kaggle and is tagged for multiclass classification tasks. The specific source, size, and update details are not provided in the available metadata.
A balanced subset of the Ophthalmic Diagnosis and Image Recognition (ODIR) dataset, curated for partial label learning tasks. The dataset is described as a 'difficult' subset, suggesting it contains challenging cases for classification models. It originates from the Kaggle platform, but specific details on its creator, size, and collection date are not provided.
This dataset analyzes rent affordability and housing problems among university students, including problems, solutions, and mitigating measures. The author is Niranjan Kumar Sah, and it was last updated in February 2026. Specific data dimensions such as row count, column count, and sample data are unavailable.
1,870 high-entropy coding prompts designed to test the cognitive attention and executive function of large language models. The dataset appears to be a benchmark for evaluating model robustness and reasoning. Its author, organization, and specific creation date are unknown.
MemoryGenesis is a 250,000-example dataset created by WithinUsAI for training large language models to function as memory-first agents. The dataset is designed to teach LLMs behaviors like capturing, storing, retrieving, and updating information. It was last updated on December 29, 2025.
35,902 frames of robotic manipulation data across 100 episodes, recorded at 30 FPS using a so101_follower robot. Created by jackvial and updated in January 2026, the collection focuses on a single pick-and-place task involving an orange cube. The data is structured for the LeRobot framework using Parquet and video files.
The Learning Machine dataset is aggregated from the PapersWithCode platform. It likely contains research papers and associated metadata related to machine learning and artificial intelligence. The dataset's specific size, columns, and creation details are not provided in the available metadata.
246 schools, 1,203 colleges, and 4,242 cities across all 36 Indian states and union territories. The dataset provides a list of educational institutions and urban centers. Author and creation date are unknown.
U.S. workers suffer 12 to 13 fatal traumatic injuries on the job each day. The Fatality Assessment and Control Evaluation (FACE) Program investigates these incidents to identify contributing factors and develop prevention recommendations. This web page provides access to NIOSH investigation reports and related safety resources.
A cleaned dataset intended for building machine learning models to predict student performance. The dataset's origin, size, and specific features are not detailed in the provided metadata. It was sourced from Kaggle, but the author, organization, and last update date are unknown.