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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,913 datasets
A dataset of images designed for computer vision and machine learning tasks focused on recognizing and distinguishing between open and closed eyes. The dataset was created by author MichalMlodawski and was last updated on July 20, 2024. It is stored in Parquet files for efficient access.
Between 100,000 and 1,000,000 synthetic textbook-style text records generated by nampdn-ai in 2024 for training small language models. The dataset was produced using the Nous-Hermes-Llama2-13b model over 500 hours of compute time. It utilizes source material filtered from falcon-refinedweb and minipile to provide diverse educational content.
1 Chrome Extension designed for the exploration and discovery of Hugging Face datasets. The tool provides a browser-integrated interface for navigating the Hugging Face Hub's collection of data resources.
A collection of images depicting Indian cuisine dishes, intended for educational and research purposes. The dataset was created by prithivMLmods and last updated on August 5, 2024. It was merged using a specific Hugging Face tool for handling image and parquet data.
Serving as designed for binary classification tasks, containing monolingual English data. It is sized between 10,000 and 100,000 entries and was last updated in September 2024.
District-level thematic maps show the proportion of foreign pupils among all pupils at their place of residence in Rhineland-Palatinate for the 2020/2021 school year. The data originates from the Bundesamt fรผr Kartographie und Geodรคsie and was last updated in June 2024. It is part of a broader collection of education indicators, including enrollment rates and school-leaving qualifications.
Multiple public data sources are indexed for Recommender Systems (RS) research. Researchers can utilize this centralized directory to locate specific data sources for recommendation tasks.
Municipal building assessments evaluate solar photovoltaic potential for New York City-owned structures exceeding 10,000 square feet. The Department of Citywide Administrative Services (DCAS) prepared this data under Local Law 24 of 2016, with the 2022 report representing the fourth biennial assessment.
25,000 labeled UI element examples curated from WebUI, RoboFlow, and GroundUI-18K sources. The collection features preprocessed data with normalized schemas and filtered entries to remove duplicates and overlapping bounding boxes.
HuggingFaceH4 released this formatted dataset on 2024-07-02. It contains multimodal preference data for training AI models, likely derived from the RLAIF-V benchmark. The description indicates the data includes images, text prompts, and chosen/rejected assistant responses.
Bibliographic metadata for approximately 98% of all doctoral theses awarded by UK Higher Education institutions, dating back to 1787. It aggregates records from every PhD-awarding university in the UK, serving as the definitive national repository for doctoral research history.
13,000 public school district boundaries and administrative characteristics for the 2020-21 academic year are provided by the National Center for Education Statistics. The dataset includes directory information, student and teacher counts, and grade spans reported by state education officials. Data is sourced from the Common Core of Data collection and the Census Bureau's EDGE program.
Punkt is a tokenizer model for sentence boundary detection, developed by the NLTK project and hosted by author kailinjiang. It was last updated on July 5, 2024. The dataset is used for training and applying unsupervised sentence segmentation algorithms.
A reformatted version of the MIRACL dataset used to train the BGE-M3 embedding model. The dataset was uploaded by sentence-transformers and last updated on June 20, 2024. It contains a subset structured as text triplets with anchor, positive, and negative examples.
NCES's Education Demographic and Geographic Estimate program provides annually updated boundaries and administrative data for all U.S. public elementary, secondary, and unified school districts. The dataset includes characteristics reported by state education officials, such as directory information, student and teacher counts, and grade spans. It is developed from the Common Core of Data collection and maintained by the U.S. Census Bureau.
2020-21 data from the National Center for Education Statistics (NCES) provides point locations and administrative attributes for all public elementary and secondary schools in the United States. The dataset includes school characteristics such as student demographics, number of teachers, and school grade span, collected annually through the Common Core of Data (CCD) program.
National Center for Education Statistics data provides point locations and administrative attributes for public elementary and secondary schools across the United States for the 2017-18 academic year. The dataset includes characteristics such as student demographics, teacher counts, and school grade span, compiled from the Common Core of Data collection.
Aerial disaster images captured by the Civil Air Patrol featuring geotagged EXIF metadata and multi-label classification. Each image was labeled in triplicate by trained volunteers following FEMA damage assessment protocols, including infrastructure classes such as 'bridges_any'.
IIIT-INDIC-HW-WORDS-Hindi contains images of handwritten words in the Devanagari script and their corresponding text transcriptions. The dataset was originally developed by the Centre for Visual Information Technology at IIIT Hyderabad and has been converted to Parquet format for modern machine learning workflows. It was last updated on the Hugging Face platform on June 21, 2024.
The National Center for Education Statistics annually updates point locations and administrative data for all public elementary and secondary schools in the United States. The dataset includes school directory information, student demographics, teacher counts, and grade span details. It is produced by the NCES EDGE program using data supplied by state education agencies.