| --- |
| pretty_name: GenBench prepared benchmark datasets |
| license: other |
| --- |
| |
| # GenBench prepared datasets |
|
|
| This repository contains the exact prepared arrays used by the canonical |
| GenBench training and evaluation runs. It intentionally excludes redundant |
| source archives: every benchmark's Python preparation module records and |
| verifies the original upstream source, while these files are sufficient to |
| train and evaluate the published baselines directly. DeepSTARR's small official |
| activity-predictor weights are included because they are part of its evaluation |
| protocol. |
|
|
| | Directory | Generative object | Prepared contents | |
| |---|---|---| |
| | `QM9` | Molecular geometries | Packed characterized molecules and TD-jumps split rows | |
| | `MiniBooNE` | Particle events | Literature split and normalization | |
| | `NavierStokes` | Vorticity fields | Fourier-downsampled train/validation/test arrays | |
| | `JetNet30` | Particle clouds | Five-class train/validation/test arrays | |
| | `DeepSTARR` | Enhancer sequences | Splits, activities, metadata, and official predictor weights | |
| | `GuacaMol` | Drug-like molecules | Official non-overlapping ChEMBL splits as losslessly reduced canonical-SMILES endpoint arrays and lengths | |
| | `SpeechCommands` | One-second spoken-word waveforms | Official speaker-disjoint train/validation/test arrays and labels | |
|
|
| The analytic spiral and checkerboard benchmarks have no stored dataset; their |
| target distributions are generated exactly by the GenBench Python package. |
|
|
| `manifest.json` is authoritative. It records the byte size and SHA-256 of every |
| required file. Original licenses and redistribution terms differ by dataset; |
| consult each dataset's metadata and upstream source before reuse. CIFAR-10 and |
| MNIST are deliberately absent because their upstream distributions do not |
| provide an affirmative general redistribution grant. |
|
|
