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- name: useful | |
dtype: float64 | |
- name: using | |
dtype: float64 | |
- name: value | |
dtype: float64 | |
- name: valve | |
dtype: float64 | |
- name: variability | |
dtype: float64 | |
- name: variant | |
dtype: float64 | |
- name: variants | |
dtype: float64 | |
- name: variation | |
dtype: float64 | |
- name: vascular | |
dtype: float64 | |
- name: vegf | |
dtype: float64 | |
- name: vein | |
dtype: float64 | |
- name: venous | |
dtype: float64 | |
- name: ventilation | |
dtype: float64 | |
- name: ventricular | |
dtype: float64 | |
- name: versus | |
dtype: float64 | |
- name: very | |
dtype: float64 | |
- name: via | |
dtype: float64 | |
- name: viral | |
dtype: float64 | |
- name: virus | |
dtype: float64 | |
- name: visceral | |
dtype: float64 | |
- name: visual | |
dtype: float64 | |
- name: vitamin | |
dtype: float64 | |
- name: vitro | |
dtype: float64 | |
- name: vivo | |
dtype: float64 | |
- name: volume | |
dtype: float64 | |
- name: wall | |
dtype: float64 | |
- name: wave | |
dtype: float64 | |
- name: weight | |
dtype: float64 | |
- name: well | |
dtype: float64 | |
- name: when | |
dtype: float64 | |
- name: white | |
dtype: float64 | |
- name: who | |
dtype: float64 | |
- name: whole | |
dtype: float64 | |
- name: wide | |
dtype: float64 | |
- name: with | |
dtype: float64 | |
- name: within | |
dtype: float64 | |
- name: without | |
dtype: float64 | |
- name: women | |
dtype: float64 | |
- name: wound | |
dtype: float64 | |
- name: year | |
dtype: float64 | |
- name: years | |
dtype: float64 | |
- name: young | |
dtype: float64 | |
- name: κb | |
dtype: float64 | |
- name: final_decision | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 2826694825 | |
num_examples: 353050 | |
download_size: 158122539 | |
dataset_size: 2826694825 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |