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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,913 datasets
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.
NCES EDGE program provides annually updated geographic point locations for all postsecondary institutions participating in federal student aid programs. The data is derived from the IPEDS directory and includes latitude and longitude coordinates for mapping and spatial analysis. Collections are available for multiple academic years, with the most current file representing the 2022-23 period.
A text dataset of mature roleplay content generated by the Claude-3 Opus AI model, based on the example of the LimaRP dataset. The dataset was created without supervision and contains graphic depictions of violence and sexual themes. The dataset page was last updated on June 22, 2024.
College campuses across Pennsylvania are listed by sector, county, and zip code. The dataset includes georeferenced latitude and longitude coordinates for each institution. It is provided by data.pa.gov and was last updated in May 2024.
A collection of text prompts related to security and penetration testing that were all rejected by the Llama 3 model for being 'harmful'. The dataset was created by user cowWhySo and uploaded to Hugging Face in June 2024.
Capybara is a dataset of over 10,000 multi-turn conversational examples. It was created by LDJnr and released on Hugging Face, with a last recorded update on 2024-06-07. The dataset is described as the culmination of synthesis techniques like Evol-instruct, Alpaca, Orca, Vicuna, Lamini, and FLASK.
A collection of synthetic mathematical word problems categorized by the United States Mathematics Common Core standards for grades K-8 and high school. Each problem is explicitly mapped to a specific curriculum standard that defines a particular mathematical ability students are expected to master.
SAMRS provides remote sensing segmentation data generated using the Segment Anything Model (SAM), published by ViTAE-Transformer for NeurIPS 2023. The dataset scales up available masks for remote sensing imagery to facilitate large-scale pre-training and transfer learning in the geospatial domain.
Sairajk developed this PyTorch implementation of the CVPR 2019 Pyramid Feature Attention Network for saliency detection, with the most recent update in July 2024. It provides the framework for training and inference on the DUTS dataset using edge-loss and attention mechanisms. The repository includes pretrained models and specialized dataloaders for salient object detection tasks.
This tool processes an unspecified number of video URLs to generate large-scale video datasets for machine learning. It automates the retrieval and organization of video content from web-based sources into structured data formats.
20,000 high-definition video recordings of Russian Sign Language (RSL) categorized into 1,000 distinct sign classes. The collection features performances from 194 unique signers captured in diverse environments to support gesture recognition tasks.
VinAIResearch released this dataset in 2024 to support computer vision research into detecting omissions in geographic maps. It focuses on Vietnamese cartography and incorporates Optical Character Recognition (OCR) elements for map analysis as presented in the MAPR'24 publication. The data enables the identification of missing geographic features or labels through automated visual inspection.
SkyEyeGPT is an instruction dataset for unifying remote sensing vision-language tasks via instruction tuning with a large language model. The dataset was created by researchers from the School of Artificial Intelligence, OPtics, and ElectroNics at Northwestern Polytechnical University. It was last updated on the Hugging Face platform on June 12, 2024.
20,971 energy assessments and 156,470 improvement recommendations for small and medium-sized industrial facilities are documented in this database. The U.S. Department of Energy's Industrial Assessment Centers program collected data on facility characteristics and proposed savings from 1981 onward. This dataset supports analysis of long-term industrial energy use patterns and intervention effectiveness.
375,084 example sentences extracted from patents granted by the USPTO, stratified across 130 patent classes. The dataset includes 187,200 positive and 187,884 negative examples, each containing a pair of entities and the engineering design relation between them. It was manually constructed by L. Siddharth at the Singapore University of Technology and Design and last updated on June 16, -2024.
Openvprlab is an open-source deep learning framework and data resource for visual place recognition (VPR) developed by amaralibey and last updated in July 2024. It provides standardized tools and data structures for image-based localization and geolocalization tasks. The project facilitates the training and evaluation of models designed to identify geographic locations from visual input.
A Web Feature Service (WFS) of the 'Saatschulweg' urban development plan for the municipality of Limbach, transformed according to the INSPIRE directive. The data is based on an XPlanung dataset in version 5.0 and was published by the Bundesamt für Kartographie und Geodäsie. It was last updated on June 12, 2024.
Exactly 3,000 examples comprise this dataset, with each response created using GPT-4. It contains over 2,000 multi-turn conversations between GPT-4 and real humans. The dataset was created by author LDJnr and last updated on June 7, 2024.
A collection of datasets reformatted into prompts for few-shot intent recognition research with large language models. The dataset, created by author 'qgyd2021', was last updated on May 14, 2024. Subsets like {dataset_name}_prompt are dynamically generated from source data and template subsets, resulting in varied outputs.
VoxConverse is an audio-visual diarisation dataset consisting of multispeaker clips of human speech, extracted from YouTube videos. The dataset has been preprocessed using diarizers to make it compatible for fine-tuning pyannote segmentation models. It was created by the diarizers-community and last updated on May 31, 2024.