Datasets:
Download metadata.json from TabBioMed/QM8_f1-CC2: direct link, hf CLI and curl.
- Browser
- Download file 698 Bytes
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https://huggingface.co/datasets/TabBioMed/QM8_f1-CC2/resolve/main/metadata.json
- Command line
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hf download hf://datasets/TabBioMed/QM8_f1-CC2/metadata.json
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curl -L -o metadata.json https://huggingface.co/datasets/TabBioMed/QM8_f1-CC2/resolve/main/metadata.json
698 Bytes
| { | |
| "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" | |
| ] | |
| } |