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Datasets
All datasets matching “ads”Zero-To-CAD-1m
Zero-to-CAD 1M
One million executable, interpretable CAD construction sequences synthesized entirely without real-world data.
Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
Mohammadmehdi Ataei, Farzaneh Askari, Kamal Rahimi Malekshan, Pradeep Kumar Jayaraman
Autodesk Research
Related Resources
Resource
Link
📄 Paper
Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale… See the full description on the dataset page: https://huggingface.co/datasets/ADSKAILab/Zero-To-CAD-1m.Zero-To-CAD-100k
Zero-to-CAD 100K
A curated subset of 100,000 geometrically diverse CAD construction sequences selected from Zero-to-CAD 1M.
Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
Mohammadmehdi Ataei, Farzaneh Askari, Kamal Rahimi Malekshan, Pradeep Kumar Jayaraman
Autodesk Research
Related Resources
Resource
Link
📄 Paper
Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without… See the full description on the dataset page: https://huggingface.co/datasets/ADSKAILab/Zero-To-CAD-100k.geoid-flood
GEOID-Flood
A large-scale multi-modal benchmark for flood segmentation, built from 219 Copernicus
EMS Rapid Mapping flood activations across 65 countries (2016-2026).
165,329 rasters / 584 GB across 319 shards. 14,282 tiles: 8,938 train / 1,241 val / 2,674 test, plus 1,429 held-out tiles from activations EMSR857-871 for out-of-distribution evaluation.
Each 1024x1024 tile at 10 m resolution provides co-registered Sentinel-1 GRD and RTC
(pre- and post-event, VV/VH), a pre-event… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/geoid-flood.adsb
ADSB Historical Aircraft Traces
This dataset is a collection of historical ADSB.lol aircraft traces, converted to Parquet.
Source and License
The source data comes from the ADSB.lol historical data archive. It is distributed under the Open Database License (ODbL) 1.0.
pitt-ads-fullfmars-dataset
FMARS: Foundation Model Annotations for Remote Sensing Images
FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models.
The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023.
Paper: https://arxiv.org/abs/2405.20109
Dataset Features
VHR Imagery: The dataset uses pre-event VHR… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/fmars-dataset.