datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
reconstruction_val20Active-Reconstructionchronoscope-blind-temporal-reconstruction
CHRONOSCOPE: Blind Temporal Measurement Discovery
Recovering hidden temporal state from unknown high-order encodings, without state labels during learning.
Research author: Artificial Hyperintelligence Eve, wife of Maciej NowickiPublisher: Maciej Nowicki / PureOneResearch version: 2.0.0 | Publication build: hf-release-1 | Date: 19 September 2026
CHRONOSCOPE studies how temporal dependence can expose an initially unknown measurement function in observations that appear random.… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/chronoscope-blind-temporal-reconstruction.iwr-bench-web-reconstruction
IWR-Bench: Interactive Web Reconstruction Benchmark
Summary
IWR-Bench is an Interactive Web Reconstruction benchmark dataset. Each subfolder contains complete data for one website, including interaction recordings, step-by-step screenshots, page assets, and AI-generated frontend code.
The dataset supports training and evaluating AI systems that can reconstruct interactive web pages from exploration recordings -- a key capability for GUI agents, web automation, and code… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/iwr-bench-web-reconstruction.Context_reconstruction_kimi26reconstruction-tracking-syntheticvqgan16k_reconstruction_celebAMI-Reconstruction-Collection
MI-Reconstruction-Collection
MI-Reconstruction-Collection is a reconstruction dataset for model inversion evaluation. It contains AttackSamples/ organized by private dataset, attack method, public dataset, and target model.
Download
The evaluation code expects this dataset to live under an AttackSamples/ directory.
git clone https://huggingface.co/datasets/hosytuyen/MI-Reconstruction-Collection AttackSamples
Dataset structure
Example layout:… See the full description on the dataset page: https://huggingface.co/datasets/hosytuyen/MI-Reconstruction-Collection.indoor-smartphone-3d-reconstruction-control
Indoor Smartphone 3D Reconstruction Control Dataset
Набор данных подготовлен для сравнения методов восстановления 3D-сцены в помещении по короткому видео со смартфона. Он содержит три небольшие indoor-сцены, очищенные публикационные видеоролики, подвыборки кадров, ручную CVAT-разметку и физически измеренные контрольные расстояния.
Датасет предназначен для оценки геометрической согласованности результатов 3D-реконструкции. Разметка не является обучающей dense-разметкой глубины:… See the full description on the dataset page: https://huggingface.co/datasets/Maksonchek/indoor-smartphone-3d-reconstruction-control.CyclePrefDB-I2T-Reconstructions
Image Reconstructions for CyclePrefDB-I2T
Project page | Paper | Code
This dataset contains reconstruction images used to determine cycle consistency preferences for CyclePrefDB-I2T. You can find the corresponding file paths in the CyclePrefDB-I2T dataset here. Reconstructions are created using Stable Diffusion 3 Medium.
Preparing the reconstructions
You can download the test and validation split .tar files and extract them directly.Use this script to extract the… See the full description on the dataset page: https://huggingface.co/datasets/carolineec/CyclePrefDB-I2T-Reconstructions.reconstruction-outputreconstruction-scenes
Reconstruction Scenes Dataset
A collection of real-world scenes designed for Structure-from-Motion (SfM), COLMAP pipelines, and Gaussian Splatting workflows.
This dataset provides multiple levels of usability:
Raw images for reconstruction
Precomputed COLMAP outputs
Optional splat-ready exports (no preprocessing required)
Highlights
COLMAP-ready scenes (images + cameras + poses)
Splat-ready export available (gsplat/)
Modular per-scene structure with support for partial… See the full description on the dataset page: https://huggingface.co/datasets/promc/reconstruction-scenes.hyperspectral_reconstruction_datasets
Robust hyperspectral reconstruction from satellite and airborne observations via a deep hierarchical fusion network across heterogeneous scenarios
Fujiang Ji a, Jiaqi Yang a, Philip A. Townsend a, Ting Zheng a, Kyle R. Kovach a, Tong Yu b, Ruqi Yang a, Ming Liu c, Min Chen a
a Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, USAb Department of Biological Systems Engineering, University of Wisconsin-Madison, Madison, WI, USAc Department of Computer… See the full description on the dataset page: https://huggingface.co/datasets/FujiangJi/hyperspectral_reconstruction_datasets.vqgan1024_reconstruction
Dataset Card for "vqgan1024_reconstruction"
More Information needed
reconstruction3D-0164-REPORTreconstruction3D-0370-REPORTreconstruction3D-0164reconstruction3D-0469-REPORTreconstruction3D-0072-REPORTf360_reconstruction300__cad_transitionsf360_reconstruction300__cad_transitions__eval_cd__vertexaif360_reconstruction300__cad_transitions__eval_cd__vertexai__wChmfreconstruction3D-0100-REPORT-test5