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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,867 datasets
A dataset related to exam environments, likely containing variables that describe testing conditions or student performance. It is hosted on Kaggle, a platform for data science and machine learning projects. The specific content, size, and authorship require verification after download.
Synthetic metadata for Indian government, academic, and entrance examinations. The dataset's creator, size, and temporal coverage are unknown. It was sourced from the Kaggle platform.
A cleaned version of the UCI Adult Income dataset, prepared for machine learning. It contains individual records with demographic and employment attributes used to predict income level. The original data was sourced from the 1994 U.S. Census database.
Big Mart Sales is a retail dataset curated for learning data science workflows from data manipulation to visualization. The dataset's author and specific size are not documented, and its last update date is unknown.
2 property categories for high-temperature BSPT-based piezoelectric ceramics optimized via learning-assisted design. The dataset focuses on the simultaneous enhancement of dual material characteristics for bismuth scandium lead titanate systems.
A lecture transcript examines economic issues related to Internet search engines. It was delivered as the 2007 Angelo Costa Lecture in Rome. The dataset is sourced from the paperswithcode platform.
The Evaluation of Charter School Impacts dataset likely contains data from a study on charter school effectiveness. The dataset is sourced from the paperswithcode platform and has a closed license. The specific author, organization, and temporal coverage are unknown.
Exam Environment Dataset is a dataset hosted on the Kaggle platform. Its specific content and structure are not detailed in the available metadata. The dataset likely contains information related to educational testing or assessment environments.
Featuring information related to university admissions for higher studies. It is tagged for use in standardized testing analysis, regression modeling, and data visualization.
A collection of 43 NetFlow features derived from the UNSW-NB15 network traffic traces, representing an expanded version of the original NF-UNSW-NB15 collection. It provides flow-level statistics and labels from the University of Queensland for identifying various types of network attacks and normal traffic patterns.
Serving as designed for understanding student habits to predict exam performance. The specific number of rows, columns, and data features are unknown.
A collection of transactional records of various television shows watched together by groups of people. It provides a categorical mapping of program titles designed for discovering patterns through association rule learning.
Giving access to the full model weights for TabPFN version 2.5 and the associated library dependencies for version 6.4.1. It functions as an offline mirror designed to enable the deployment of the Prior-Data Fitted Network for tabular classification without requiring an active internet connection.
Intended for car price prediction analysis. The specific number of rows, columns, and data features are unknown from the provided input.
Serving as intended for predicting students' end-of-term performances using machine learning techniques. It is tagged for applications in Social Science, Education, Universities And Colleges, Ratings And Reviews, and Data Visualization. Specific details on data volume, features, and collection are unavailable.
Wikimedia Wikipedia provides cleaned articles from all language editions of Wikipedia. The dataset is built from Wikipedia dumps, with one subset per language, each containing a single train split. Each example contains the content of one full article, cleaned to strip markdown and unwanted sections like references.
Faceberg is a data-access utility created by kszucs in February 2026 that exposes HuggingFace datasets as Apache Iceberg tables. It provides a standardized interface for querying and managing the diverse collection of datasets hosted on the HuggingFace Hub using a high-performance table format.
An image dataset for few-shot learning, a machine learning paradigm where models learn from a small number of examples. It is hosted on Kaggle and likely contains images organized for classification tasks. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
A personal machine learning pipeline and logging framework, as described by the author. The dataset's specific content, size, and creator are not detailed in the provided metadata. It is hosted on Kaggle and associated with the Video Games domain tag.
The TIME benchmark provides a standardized evaluation suite for time-series foundation models and forecasting algorithms. Created by zqiao11 and updated in 2026, the repository facilitates performance comparisons across diverse temporal datasets and is integrated with Hugging Face.