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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,021 datasets
A collection of data from a study investigating the use of virtual reality (VR)-based exposure therapy to reduce mobility-related anxiety in lower-limb prosthesis users (LLPU). The study compares responses of LLPU to those of control groups of young and older adults without prostheses across repeated exposures to anxiety-inducing, high-elevation VR settings. The project aims to identify targets for individualized rehabilitation to reduce fall risk and improve balance confidence.
Synthetic data is a common resource for testing and developing machine learning models. This dataset is hosted on Kaggle, a popular platform for data science competitions and projects. Its specific content, size, and creator are not detailed in the available metadata.
A raw text archive of the Chinese anime and ACG wiki, Moegirlpedia. The dataset was created by user milashkaarshif and last updated in February 2026. It serves as a source for training language models and generating synthetic datasets.
A raw archive of wikitext from Moegirlpedia, a Chinese wiki focused on anime, manga, and related pop culture. The dataset was uploaded by user milashkaarshif and was last updated on Hugging Face in February 2026. Its primary purpose is to serve as a training corpus for language models and synthetic dataset generation.
Modotte's MathX-20M dataset is a 20-million-instance corpus curated from public sources and enhanced with synthetic data from both closed and open-source models. It is designed as a foundation for instruction-based model tuning and fine-tuning, focusing on mathematical reasoning. The dataset was last updated on February 10, 2026.
Approximately 1 million 3D CAD models from the ABC Dataset are paired with a rendered preview image, a generated caption, and a text embedding. The dataset, created by daveferbear, is designed for large-scale retrieval, representation learning, and multimodal research. It was last updated on February 10, 2026.
Simuletic created this open-source synthetic dataset to address a specific failure mode in weapon detection AI, where food packaging is confused with firearms. The dataset is designed to reduce false positives on snacks and shiny objects, as referenced in a 2025 incident in Baltimore. It was last updated on February 14, 2026.
A collection of 3D models and rendered images of utility poles, published on Kaggle. The dataset likely contains digital assets for computer graphics and simulation projects. Specific details on the number of models, creation date, and author are not provided in the available metadata.
A stylized version of the Describable Textures Dataset (DTD) is included in the Meta Album collection. The dataset, contributed by author Romain Mussard, is hosted on OpenML and is tagged for machine learning and image benchmarking tasks. Its specific scale and update date are not provided in the available metadata.
Cancer Survival - AFCRN Registry Linkage is a synthetic dataset representing 5-year survival data from the African Cancer Registry Network. It contains 5,600-8,400 records per scenario, with key epidemiological parameters grounded in GLOBOCAN 2022 estimates, WHO reports, and peer-reviewed AFCRN literature. The dataset was created by electricsheepafrica and last updated on February 13, 2026.
InstantMesh-100-Object-ABO-Evaluation is a dataset published on Kaggle. Its title suggests it is used for evaluating 3D object meshes, likely in the context of AI-generated 3D assets. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
Nano-scale morphology images intended for AI-driven wettability assessment. The dataset is hosted on Kaggle, but details on its size, creator, and update history are not provided. Its primary purpose appears to be linking surface structure to material wetting properties.
The fmesher library provides tools for generating planar and spherical triangle meshes and performing finite element calculations on 1-, 2-, and 3-dimensional manifolds. It includes methods for handling lines, polygons, and coordinate reference systems, with core code originally part of the 'INLA' package. The implementation is based on concepts from the textbook 'Triangulations and Applications' by Hjelle and Daehlen (2006).
Bangalore hotels are represented in this synthetic dataset. It likely contains details on pricing, ratings, and room information for the year 2026. The data was created for Kaggle, but the specific author and methodology are unknown.
Cap3D provides descriptive captions for 3D objects from collections including Objaverse, Objaverse-XL, ABO, and ShapeNet. The repository also includes point clouds, rendered images with camera, depth, and MatAlpha information, and Shap-E latent codes for Objaverse objects. Data was created by author 'tiange' for research papers and was last updated in February 2026.
A stylized textures dataset derived from the Describable Textures Dataset. The dataset was contributed by author Romain Mussard and is hosted on the OpenML platform. The specific number of images, file formats, and last update date are unknown.
Battery Cycle Life Synthetic Dataset is a dataset hosted on Kaggle. The dataset likely contains synthetic data related to battery performance and degradation over charge-discharge cycles. Metadata is minimal; the actual content, scale, and generation method require verification after download.
A synthetic dataset related to battery cycle life, likely containing simulated or generated data for modeling battery degradation. It is hosted on Kaggle, but the author, organization, and specific data characteristics are unknown. The dataset's creation date and last update are not provided.
A collection of 100 ground truth 3D mesh models. The dataset is hosted on Kaggle, but its creation date, author, and specific source are not documented. The title suggests it contains computer-generated or simulated objects, likely for graphics or machine learning tasks.
Published on Kaggle, this dataset likely contains 100 ground truth 3D mesh assets. The title suggests it is related to computer graphics and simulation, potentially for rendering or modeling tasks. The author, organization, and specific collection details are unknown.