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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,784 datasets
A tabular collection of business contact information for builders in the United States, intended for data science projects. The dataset is tagged for email marketing applications, though specific record counts and column details are not provided.
An email list of users from coupon websites in the United States, intended for data science projects. The dataset is tagged for email marketing, consumer behavior, and customer leads analysis. Specific details on record count, features, and collection timeframe are unavailable.
A tabular dataset of business email contacts from the finance industry in the United States. It is tagged for use in data science projects and contains fields typical of a business contact list.
A tabular dataset containing business contact information for investors located in the United States. The data is tagged for use in email marketing and data science projects, though specific record counts and column details are unavailable.
Calderdale Metropolitan Borough Council provides data on languages spoken by pupils in primary schools, collected via the spring school census. The dataset includes tags for ethnicity and school type, such as Academies and Local Authority Maintained Schools. It was last updated in March 2026.
Data on languages spoken by pupils in Calderdale's secondary schools, including Academies and Local Authority Maintained Schools. The information originates from the spring school census conducted in January. The dataset is maintained by the Calderdale Metropolitan Borough Council.
This dataset visualizes enrollment rates within higher academic institutions in the United States. It was created by Kay Soto of the Texas Data Repository Harvested Dataverse and last updated in February 2026.
AI-Driven Research Quality Assessment Framework is a dataset for evaluating scientific work. It likely contains metrics for assessing rigor, novelty, and societal relevance of research. The dataset is hosted on Kaggle.
This qualitative dataset contains interview data from a study investigating young women's perceptions of safety, relocation challenges, and coping strategies after migrating within India for higher education. The study targets women aged 18-23 and uses semi-structured interviews analyzed thematically. The dataset aims to inform policies for enhancing campus and urban safety for female students.
A 50+ year global dataset tracks female primary education completion rates. The data likely contains country-level or regional time-series records. It originates from Kaggle, but specific author, organization, and update details are not provided.
A text dataset for instruction tuning of language models, created by kshitijthakkar and last updated in December 2025. The dataset contains at least 66,652 examples, with token statistics indicating a focus on long-context training. The total token count is 277,312,737, with a mean of 4,160 tokens per example.
WithinUsAI's Elite God Coder 100K dataset provides 100,000 examples intended for supervised fine-tuning of large language models for advanced software development behavior. The dataset is structured as JSONL files, including a training set, validation set, and a 100-example sample. It was last updated on December 30, 2025.
The boundaries of Dutch municipalities from 1812 onward, including names, Amsterdam Code, and CBS code. It includes the observation year for each polygon to facilitate matching. The data is available in GeoJSON format for use in tools like QGIS, Python, and R.
CitationGround-1M is a citation-locked grounded QA/RAG dataset requiring answers to be based solely on provided contexts. It includes span-level citations and answerable=false hard negatives for training abstention behavior. The dataset was created by WithinUsAI and published on Hugging Face in December 2025.
Giving access to replication data for a neural potential field method used in high-fidelity gravity modeling and density inversion of irregular small celestial bodies. The data supports the research published in Engineering Applications of Artificial Intelligence in 2026, authored by Gao, Wutong.
A 5-year dataset covering admissions and merit at NED University. The dataset is hosted on Kaggle and is intended for analysis of educational selection processes. The specific author, organization, and detailed structure are not provided in the available metadata.
Comprising an oral history interview with Norman Tennent, Professor Emeritus of Conservation Science at the University of Amsterdam. The interview is a retrospective on his education, career, and teaching, exploring ties between personal values and research goals. The specific data structure, including row and column counts, is unknown.
An oral history interview with private conservator Michel van de Laar, conducted by K. Morgan for the University of Amsterdam's Oral History and Artwork Life Stories project. The interview covers his career trajectory and perspectives on the restorer's role. The dataset was last updated on January 27, 2026.
FEDERATED DEEP LEARNING FOR REAL‑TIME DETECTION OF MULTIDRUG‑RESISTANT TUBERCULOSIS is a dataset from Kaggle. It is associated with research into applying federated learning for medical detection tasks. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
A dataset for quantifying the endoplasmic reticulum–mitochondria encounter structure (MAM) using deep learning. The data was uploaded to Kaggle and is tagged for research purposes. The specific source, size, and collection date are not provided in the metadata.