cptac_survival / README.md
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---
license: cdla-permissive-2.0
task_categories:
- tabular-classification
pretty_name: cptac_survival
tags:
- tabular
- proteomics
- binary
- Biomedical
- Benchmark
- clinical
configs:
- config_name: cptac_survival
data_files:
- split: fold_0_train
path: data/fold_0/train.parquet
- split: fold_0_validation
path: data/fold_0/val.parquet
- split: fold_0_test
path: data/fold_0/test.parquet
- split: fold_1_train
path: data/fold_1/train.parquet
- split: fold_1_validation
path: data/fold_1/val.parquet
- split: fold_1_test
path: data/fold_1/test.parquet
- split: fold_2_train
path: data/fold_2/train.parquet
- split: fold_2_validation
path: data/fold_2/val.parquet
- split: fold_2_test
path: data/fold_2/test.parquet
- split: fold_3_train
path: data/fold_3/train.parquet
- split: fold_3_validation
path: data/fold_3/val.parquet
- split: fold_3_test
path: data/fold_3/test.parquet
- split: fold_4_train
path: data/fold_4/train.parquet
- split: fold_4_validation
path: data/fold_4/val.parquet
- split: fold_4_test
path: data/fold_4/test.parquet
dataset_info:
description: 'Sample-level binary classification task predicting survival status
in CPTAC UCEC patients. Features are quantitative mass-spectrometry proteomics
profiles (umich platform). Label: ''Survival status'' (1 = dead, 0 = alive). Missing
proteomic values are imputed with the per-protein column mean. Samples without
a recorded survival status are excluded.'
---