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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,527 datasets
Comprising question-answer pairs from the Japanese Bar Examination spanning from 2015 to 2024. It covers three major areas of Japanese law: Criminal Law, Constitutional Law, and Civil Law.
NTD integration baseline assessment evaluates the feasibility of integrating control programs for neglected tropical diseases in Kenya. The dataset's size, creator, and specific time period are not provided. It originates from a Kaggle-hosted study focused on NTD program integration.
A quasi-experimental study testing the effect of an exam intervention guided by self-determination theory on student psychological need fulfillment, well-being, and performance. The independent variable had two levels: a control exam and an experimental exam revised with high-quality items and four need-supportive features. The dataset includes archived data, survey instruments, syntax files, an exam template, and a quality checklist.
AI observability and evaluation data from Arize-ai's Phoenix framework, updated in March 2026, includes traces, spans, and evaluation metrics. It captures prompt inputs and model outputs from LLM frameworks such as LangChain, LlamaIndex, and smolagents.
Granular is a specialized dataset format and loader for multimodal machine learning research, developed by danijar and updated in March 2026. It provides a Python-based infrastructure for high-speed data ingestion in artificial intelligence workflows.
Teacher is a dataset hosted on Kaggle. The dataset likely contains information related to the teaching profession, such as workforce statistics, demographics, or survey results. Its specific content, size, and origin are not detailed in the provided metadata.
A dataset concerning risk management and governance for artificial intelligence models in enterprise settings. It was published on the Kaggle platform, but details about its creator, size, and specific contents are not provided. The dataset's recency and update frequency are unknown.
This single-record text document contains the 2026 presidential address by Hyunjoo Pai for the Jeehp Dataverse. It details specific initiatives for academic excellence and the expansion of computer-based testing in health professions as of February 2026.
Polling data on public opinion in Wisconsin, collected by Marquette Law School. The dataset includes survey results on political and social issues. The data was last updated in February 2026.
Quinnipiac University Polling Institute conducts regular surveys on public opinion, primarily within the United States. The dataset includes results from polls administered by the institute, covering topics like elections, policy, and social issues. The data was last updated in February 2026.
A dataset titled 'Student Performance Dashboard' published on Kaggle. The specific number of records, features, and data collection details are not provided in the available metadata. Its content likely contains metrics related to academic outcomes and student attributes.
Kaggle hosts a dataset titled 'Collected_unlearning_data'. The dataset's purpose likely relates to the field of machine unlearning, which involves removing specific data points or their influence from trained models. No information is available regarding its creator, size, or the time period it covers.
Customer churn data for a machine learning prediction challenge. The dataset's size, author, and temporal details are unspecified. It originates from a Kaggle competition titled 'Churn Analytics Challenge Dec'25'.
Information about this dataset is unavailable. The provided input lacks concrete details such as row count, column names, or a clear description of the data's content. No information is available regarding its creator, temporal coverage, or geographic scope.
A source of replication files for analyses, tables, and figures from the British Journal of Political Science article 'The Unequal Challenge of Learning from Under-informative News'. It was authored by Andrew Trexler and last updated in February 2026. The specific data structure, including row and column counts, is not detailed in the provided input.
This dataset analyzes student AI tool usage and its impact on academic performance. It includes data on study patterns and AI tool preferences. The dataset was authored by Raul and Prashna.
Presenting a Data Management and Sharing Plan for a research project titled 'Inclusive PreK STEM Playgroups: Empowering our Youngest Learners and their Caregivers for Confidence and Competence in STEM Learning'. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The author is Jessica Amsbary.
Encompassing a Data Management and Sharing Plan for research on the current and predicted impacts of extreme heat events on exertional heat illnesses in high school athletes. The plan describes the scientific data to be generated and used in the research. The author is Zachary Kerr, and the record was last updated in February 2026.
Data Management and Sharing Plan outlining the strategy for handling scientific data from a research partnership between the University of North Carolina and the Kinshasa School of Public Health. The plan describes data to be generated for a project focused on improving women's and children's health in the Democratic Republic of Congo. Row count, column count, and specific data formats are unknown.
Data Management and Sharing Plan for a research project titled 'Assessment of Twin Gestation with AI Assisted Ultrasound'. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The author is Jeff Stringer, and the record was last updated in February 2026.