QM8_f1-CC2 / metadata.json
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{
"READY": true,
"name": "QM8_f1-CC2",
"task": "regression",
"cat_idx": [],
"num_samples": 21747,
"num_features": 676,
"description": "Electronic spectra and excited state energy of small molecules calculated by multiple quantum mechanic methods. Task: predict the 'f1-CC2' label using Coulomb matrix features. Target: z-scored with the training-split mean and SD (stored as target_mean / target_std), following DeepChem's default target normalization for this loader. Split: random 70/15/15 (seed 42).",
"source": "MoleculeNet (https://moleculenet.org) \u2014 loaded via DeepChem.",
"label": "Drug Discovery",
"sub_labels": [
"Quantum Mechanics",
"Coulomb Matrix"
]
}