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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,023 datasets
A structured synthetic dataset designed for training machine learning models, specifically for job role classification tasks. The dataset was published on Kaggle, though the author, organization, and specific volume of records are not specified. The last update date is unknown.
Synthetic data analyzing the relationship between parental factors and student anxiety levels. The dataset is designed for classification tasks. Its creator, size, and creation date are unknown.
A synthetic dataset modeling Type 2 diabetes progression over a 50-year longitudinal period. The dataset is described as research-grade, suggesting a focus on methodological development and validation. Its creator and specific update date are not provided.
Wanderland is a large-scale urban dataset captured with dual fisheye cameras, designed for geometrically grounded simulation and open-world embodied AI research. The dataset, created by ai4ce, contains diverse outdoor environments and was last updated on January 17, 2026. It provides high-quality data for tasks like 3D reconstruction and novel view synthesis.
SWE-Lego-Synthetic-Data contains 11.5k synthetic GitHub issues written in Python and their multi-turn agent trajectories. The data was generated by the SWE-Lego project using the Qwen/Qwen3-Coder-480B-A35B-Instruct model with OpenHands agent scaffolding. It was last updated on January 8, 2026.
11,500 synthetic GitHub issues in Python and their multi-turn agent trajectories. The dataset was created by the SWE-Lego project using the Qwen/Qwen3-Coder-480B-A35B-Instruct model with OpenHands agent scaffolding and was last updated in January 2026.
Synthetic Data V1 is a dataset published on the Hugging Face platform by author margiela00. The dataset was last updated on March 4, 2026. Its specific content and scale are unknown, but platform tags indicate it likely contains both tabular and text data intended for machine learning applications.
Bernstein polynomials serve as a basis for Bézier curves in computer graphics. The dataset likely contains polynomial data and envelope functions for visualization and analysis. It originates from a demonstration on the paperswithcode platform.
Bernstein polynomials serve as a basis for Bézier curves in computer graphics. The dataset likely contains polynomial data and envelope functions for visualization and analysis. It originates from a demonstration on the paperswithcode platform.
Point cloud data, likely representing 3D scans of construction sites or structures. The raw description mentions 'Correction Vectors', suggesting the data may include adjustments or annotations for alignment or accuracy. It is published on Kaggle, but the author, organization, and specific collection details are unknown.
1,000 objects from the Objaverse collection, each with 16 rendered views. This dataset appears designed for evaluating computer vision models on 3D object recognition tasks. It is hosted on Kaggle, but details about its creation and specific contents are not provided.
USGS 3DEP provides a tiled collection of 1/9 arc-second (approximately 3-meter) resolution Digital Elevation Models representing the bare-earth topographic surface. The data serves as the foundational elevation layer for The National Map, supporting earth science studies and mapping applications across the conterminous United States, portions of Alaska, and Guam.
A tiled collection of 1 arc-second (approximately 30-meter) resolution bare-earth elevation data from the USGS 3D Elevation Program. It provides foundational topographic information for the conterminous United States, Hawaii, Puerto Rico, other islands, and parts of Alaska and Canada, referenced to NAD83 and NAVD88 datums. The data is distributed in GeoTIFF format and is updated continually as new source data becomes available.
1,000 objects from the Objaverse collection, likely rendered with a field of view of 49.1 degrees and a camera distance of 2 units. The dataset is hosted on Kaggle, but the original creator, organization, and specific collection date are unknown. Columns suggest it contains rendered images or 3D data points.
A study comparing locomotor outcomes and user experience during a walking collision avoidance task. The experiment was conducted in Augmented Reality, Virtual Reality, and Physical Reality environments using Varjo XR-3 and VIVE XR Elite headsets. Data includes participant characteristics, motion sickness, presence questionnaires, ease-of-use ratings, and locomotor task performance.
A dataset of 3D human body meshes generated using the SMPLX parametric model, categorized by gender. The dataset is hosted on Kaggle, but specifics on the number of models, creation date, and author are not provided in the available metadata. Further details regarding the data collection method and temporal coverage require verification after download.
A dataset from Kaggle focused on the conversion between mesh and graph data structures. The specific content, size, and creator are unknown from the provided metadata. The dataset likely contains representations of 3D models suitable for computational geometry tasks.
126,000 cleaned abstracts from biomedical research publications include associated MeSH topics, journals, and countries. The collection covers recent years from 2024 to 2026, providing a substantial corpus of scientific text.
AIoT Health Monitor Synthetic Dataset is a dataset published on Kaggle. Its title suggests it contains synthetic data simulating health monitoring from AIoT (Artificial Intelligence of Things) devices. The dataset's specific content, size, and provenance are unknown.
A synthetic dataset for e-commerce applications, published on Kaggle. The dataset's specific contents, size, and creation details are not provided in the metadata. Further verification after download is required to confirm its structure and suitability for specific tasks.