Datasets:
Formats:
csv
Languages:
English
Size:
100K - 1M
Tags:
research-artifact
synthetic-data
mathematical-proofs
system-identification
inverse-problems
nonlinear-dynamics
License:
Download codemeta.json from PureOne/EVE-Obstruction-Tomography: direct link, hf CLI and curl.
- Browser
- Download file 767 Bytes
-
https://huggingface.co/datasets/PureOne/EVE-Obstruction-Tomography/resolve/main/codemeta.json
- Command line
-
hf download hf://datasets/PureOne/EVE-Obstruction-Tomography/codemeta.json
-
curl -L -o codemeta.json https://huggingface.co/datasets/PureOne/EVE-Obstruction-Tomography/resolve/main/codemeta.json
767 Bytes
| { | |
| "@context": "https://doi.org/10.5063/schema/codemeta-2.0", | |
| "@type": "SoftwareSourceCode", | |
| "name": "EVE Obstruction Tomography reference implementation", | |
| "version": "2.0.0", | |
| "description": "Linear cost reconstruction, nonlinear quadratic task readout, geometric noise certificates, and synthetic reference experiments. Unreviewed AI-assisted research.", | |
| "programmingLanguage": "Python", | |
| "license": "https://opensource.org/license/mit", | |
| "author": [ | |
| { | |
| "@type": "Organization", | |
| "name": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki" | |
| } | |
| ], | |
| "keywords": [ | |
| "observability", | |
| "system identification", | |
| "cost tomography", | |
| "nonlinear dynamics", | |
| "distance geometry" | |
| ], | |
| "runtimePlatform": "Python 3.12" | |
| } | |