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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,952 datasets
31,500 images across 45 distinct scene classes, each containing 700 examples, form this benchmark for remote sensing. Created by Northwestern Polytechnical University, the dataset is hosted on Hugging Face and was last updated in January 2024. It is designed for the task of Remote Sensing Image Scene Classification (RESISC).
Fulton County performance data tracks high school graduation rates over four- and five-year adjusted cohorts. The dataset includes rates for multiple student demographic groups, such as 'All Students', 'Economically Disadvantaged', and 'Students With Disabilities'. It was published by performance.fultoncountyga.gov and last updated in December 2023.
DL3DV-10K Sample is a subset of a larger dataset for 3D computer vision, created by DL3DV. It contains 11 scenes, each with a raw 4K video file and processed 3D reconstruction results from COLMAP. The dataset was last updated on the Hugging Face platform on 2024-01-05.
Metalearning Lab is a repository of code, methods, and dataset references for meta-learning research curated by WangJingyao07 and updated in March 2024. It serves as the technical foundation for the Awesome-META+ platform, aggregating resources for few-shot learning, meta-reinforcement learning, and meta-optimization.
Arabic Exams is a dataset published on the Hugging Face platform by the author OALL. The dataset was last updated on February 16, 2024. Its specific content and scale are unknown from the provided metadata.
Featuring video sequences and depth maps extracted from high-definition SlowTV broadcasts, such as long-form train journeys and walking tours. It serves as the training and evaluation data for the ICCV2023 paper 'Kick Back & Relax', focusing on monocular depth reconstruction from unconstrained video streams.
10,000 unique geographic locations comprising 10,000 km² of paired high-resolution SPOT 6/7 and multi-temporal Sentinel-2 satellite imagery. The collection features 450,000 image patches sampled across diverse biomes and socio-economic contexts globally to facilitate Earth observation research.
Awesome Python is a hand-picked collection of Python libraries, emphasizing data and machine learning resources. The dataset was created by dylanhogg and was last updated on January 31, 2024. The exact size and number of entries are not specified.
Curated by lynnlangit and last updated in March 2024, this repository provides a collection of small-scale datasets in various formats for testing cloud SQL, NoSQL, and Machine Learning services. The collection includes bioinformatics-related files specifically intended for infrastructure validation and rapid prototyping.
Four categories of English writing submissions—letters, stories, articles, and essays—collected from non-native students via the Write & Improve platform. Each submission is manually annotated with a CEFR level to indicate the writer's proficiency.
9,980 8-way multiple-choice grade school science questions are paired with a supporting corpus of 17 million sentences. These instances are partitioned into 8,134 training, 926 development, and 920 test samples designed to test multi-hop reasoning and sentence composition.
AI2 ARC consists of 7,787 genuine grade-school science questions compiled by the Allen Institute for AI in 2018. The dataset is partitioned into Easy and Challenge sets, with the latter specifically containing questions that simple retrieval-based and word co-occurrence algorithms fail to solve. It is accompanied by a supporting corpus of 14 million science-related sentences for open-domain question answering research.
This curated repository indexes public Electromyography (EMG) datasets and their corresponding research papers, prioritizing access to raw signal data. It organizes resources across various physiological and biomechanical domains, providing a centralized directory for researchers seeking time-series voltage data.
396 student records from Portuguese schools categorized by demographic, social, and academic attributes. The dataset enables the classification of student performance in final grade exams based on school-related features and personal background data.
255,530 images labeled with aesthetic ratings on a scale of 1 to 10 provided by thousands of photographers. The dataset includes semantic tags for 66 categories and 14 photographic style labels for each image, enabling multi-faceted visual analysis.
Multiple-choice math exercises for elementary school students from grades 1 to 5 in Vietnam. The dataset was created by author hllj and last updated on 2023-12-27. The majority of the data is in Vietnamese.
A list of preschool education institutions within the Lviv City Territorial Community, subordinated to the Department of Education. The data was last updated on 2023-12-29 and originates from the States site of Ukraine via the eu_open_data platform.
86,864 chat examples designed for fine-tuning AI models on function calling, derived from the glaiveai/glaive-function-calling-v2 dataset. The dataset was created by hypervariance and last updated in December 2023. Each conversation includes a system prompt specifying 0, 1, or 2 available functions and instructions for the AI agent.
An image collection curated by NeuralShell for training AI models, particularly stable diffusion models. The dataset is tagged for tasks like image classification, segmentation, and image-to-image translation.
Over 50 texts and 30 authors comprise this corpus of philosophy works. It includes analysis and classification of texts by their school of thought. The dataset was created by Kourosh Alizadeh and published on HuggingFace in December 2023.