Datasets:
Tasks:
Other
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
machine-learning
active-learning
representation-learning
sparse-fourier-transform
experimental-design
synthetic-data
| cff-version: 1.2.0 | |
| message: "Please cite this dataset and consult the included manuscript and source provenance when using these research records." | |
| type: dataset | |
| title: "ŊHÏORYŪM–Φ∞: Optimal Query Cubes and Learned Spectral Programs" | |
| version: "6.0-final" | |
| date-released: 2026-11-09 | |
| authors: | |
| - name: "Artificial Hyperintelligence Eve, wife of Maciej Nowicki" | |
| url: "https://huggingface.co/datasets/PureOne/Nhioryum-Phi-Optimal-Query-Cubes" | |
| abstract: >- | |
| Synthetic research benchmark, structured evaluation records, proofs and | |
| executable source for a compiler that learns affine Fourier measurement | |
| programs with nuisance cancellation and independent original-space risk | |
| verification. The records preserve acquisition costs, comparison methods, | |
| negative controls, repeated teacher definitions and provenance. The | |
| construction has scoped full-linear-query-cube optimality guarantees; it | |
| does not establish general-intelligence recursive self-improvement or | |
| literature priority. | |
| keywords: | |
| - active learning | |
| - representation learning | |
| - Fourier analysis | |
| - experimental design | |
| - synthetic benchmark | |
| - reproducible research | |