Datasets:
Download metadata.json from TabBioMed/ST001047: direct link, hf CLI and curl.
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- Download file 1.55 kB
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https://huggingface.co/datasets/TabBioMed/ST001047/resolve/main/metadata.json
- Command line
-
hf download hf://datasets/TabBioMed/ST001047/metadata.json
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curl -L -o metadata.json https://huggingface.co/datasets/TabBioMed/ST001047/resolve/main/metadata.json
1.55 kB
| { | |
| "READY": true, | |
| "name": "ST001047", | |
| "task": "binary", | |
| "num_classes": 2, | |
| "cat_idx": [], | |
| "num_samples": 83, | |
| "num_features": 52, | |
| "imbalance_ratio": 1.075, | |
| "description": "Urinary NMR classification of gastric cancer (GC=1; 43 samples) versus healthy controls (HE=0; 40 samples). Retain 52 of 149 source features using the CIMCB workflow criteria QC_RSD < 20% and Perc_missing < 10% from the supplied Peak sheet. Benign and quality-control samples are excluded. Feature values are log1p transformed; missing measurements are preserved for training-fitted preprocessing. The existing five stratified outer folds and three inner folds are retained. Sample IDs and source annotations are metadata, never features.", | |
| "source": "CIMBC/MetabComparisonBinaryML", | |
| "url": "https://www.metabolomicsworkbench.org/data/DRCCMetadata.php?Mode=Study&StudyID=ST001047", | |
| "split_strategy": "cv", | |
| "label": "Metabolomics", | |
| "sub_labels": [ | |
| "NMR" | |
| ], | |
| "force_scale": true, | |
| "target_mapping": { | |
| "0": "HE (healthy control)", | |
| "1": "GC (gastric cancer)" | |
| }, | |
| "sample_metadata_file": "sample_metadata.csv", | |
| "source_manifest_sha256": "f26a76bcbb62ee7448ec3f32e725e2716ed5bdb3f9bdda11e00f8aff4d4aaf5f", | |
| "curation_protocol": "st001047_qc_v1", | |
| "qc_filter": { | |
| "QC_RSD": { | |
| "operator": "<", | |
| "value": 20 | |
| }, | |
| "Perc_missing": { | |
| "operator": "<", | |
| "value": 10 | |
| }, | |
| "statistics": "Fixed, supplied source Peak-sheet statistics; no label or model-score selection" | |
| }, | |
| "source_num_features": 149 | |
| } |