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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,903 datasets
Facebook's Factual Reasoning dataset contains training data for the 'Learning to Reason for Factuality' paper. The dataset is hosted on Hugging Face and was last updated on September 25, 2025. The associated scalable VeriScore implementation is available on GitHub.
LeRobot created this dataset using human-in-the-loop teleoperation. It contains 15 episodes totaling 608 frames of video data, recorded at 10 frames per second. The dataset was last updated on September 27, 2025.
Replication data and code for the study 'The effects of need-based financial aid on educational decisions and outcomes: Evidence from Canada' by Liu. The dataset was harvested from the Borealis Dataverse repository and last updated on October 13, 2025. It is intended to replicate the tables and figures from the associated research paper.
Annual operational statistics for the University of Lethbridge Library, compiled by Bryson Duda and published via the Borealis Harvested Dataverse. The data tracks 17 distinct service categories including circulation, digital resource usage, and facility traffic across multiple reporting years.
FER2025 is a dataset of 1,589,810 facial images annotated with one of seven emotion classes: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise. The dataset was created by imadhavan and was last updated in September 2025. It is designed for deep learning and computer vision research.
Supplementary figures and tables for an article accepted for publication at Educational Policy Analysis Archives (EPAA). The data was created by Annelies Rhodes and M. Marder of the STEM Education and UTeach Science Program at The University of Texas at Austin. The dataset was last updated on October 15, 2025.
Napkinxc provides implementations for extreme multi-label classification (XMLC) using Probabilistic Label Trees (PLTs) and Hierarchical Softmax (HSM). Developed by mwydmuch and updated in November 2025, the project focuses on high-performance categorization for large label spaces.
Blueberry Fruit Segmentation Dataset contains annotated images for blueberry fruit segmentation, provided in COCO format. The dataset is intended to advance research in automated fruit harvestability and yield assessment, focusing on blueberry count, maturity, and cluster compactness. It was authored by c-tan and last updated on 2025-09-19.
3,003 Japanese kanji characters are annotated with their official educational difficulty grades. The dataset is sourced from the Japanese Ministry of Education's Joyo Kanji list and kanjiapi.dev, covering elementary through advanced levels. It provides character-grade pairs for analysis of the Japanese writing system.
30 educational tutoring scenarios categorized into three distinct use cases: adaptive explanation generation, assessment and feedback, and active learning support. The data is structured into 9 columns designed to evaluate the performance of AI tutoring systems in pedagogical contexts.
Supplemental data from the manuscript titled 'Understanding How Entry-Level College Students Collaborate, Learn, and Engage with Geoscience Concepts when Playing Educational Games in a Lab Setting'. The dataset was authored by Rowan Martindale and last updated on October 15, 2025. It is hosted by the Texas Data Repository via the Dataverse platform.
Data from 40 computer science students collected for a case study on ChatGPT in a database administration course. The dataset contains anonymized student grades and questionnaire results, supporting an article in process of publication. It was uploaded by López Fernández, Daniel on October 14, 2025.
Survey results from a teaching innovation project on critical digital literacy and science communication. The data was collected via voluntary and anonymous surveys conducted in both online and face-to-face modalities. The impact of the Problem-Based Learning project on students was evaluated using statistical analysis, specifically chi-square tests.
Data from the BiMo (Bilingualism in Monolingual Contexts) research project investigates teachers' attitudes and perceptions about bilingual programs. The dataset was authored by Senra Silvia, Inmaculada and last updated on October 14, 2025. It likely contains survey or interview responses from educators.
An American Sign Language dataset containing 108,618 videos representing 2,208 distinct words, with each word having a minimum of 30 video examples. The videos were scraped and collected from multiple sources, then preprocessed for consistency and quality. It was uploaded by ZahidYasinMittha and last updated on August 28, 2025.
The European Licence Plate Dataset contains images of European vehicle licence plates processed for machine learning applications. The dataset includes various European plate formats and provides standardized resized versions alongside original images, with processed splits for training, testing, and validation. The dataset was authored by 0xnu and last updated on September 8, —2025.
Instruction–response pairs are designed for creative writing tasks, focusing on light novel style, emotional narrative, and dialogue-driven prose. The dataset was created by telecomadm1145 and uploaded to Hugging Face in September 2025. The exact scale of the dataset is not specified in the provided information.
10,000 to 100,000 records of Kaggle notebooks transformed into executable reasoning traces and question-answer pairs by jupyter-agent in 2025. The collection features natural language questions grounded in specific datasets and verified answers produced by running the original code.
189,523 real-world examples pair material descriptions from cultural heritage collections with their corresponding Art & Architecture Thesaurus (AAT) classifications. The dataset is designed for training models to extract material information from cultural heritage object descriptions. It was created by 'small-models-for-glam' and last updated on September 19, -2025.
TutorBench is a challenging benchmark designed to assess the tutoring capabilities of large language models. It consists of examples drawn from three common tutoring tasks: generating adaptive explanations, providing actionable feedback, and promoting active learning through hint generation. The dataset was created by ScaleAI and last updated on Hugging Face in October 2025.