code: def get_val_files():
      data = fetch(
          "https://raw.githubusercontent.com/mlcommons/training/master/image_segmentation/pytorch/evaluation_cases.txt"
      ).read_text()
      return sorted(
          [
              x
              for x in BASEDIR.iterdir()
              if x.stem.split("_")[-1] in data.split("\n")
          ]
      )
  
file_path: tinygrad/extra/datasets/kits19.py
imports: import random
  import functools
  from pathlib import Path
  import numpy
  import nibabel
  from scipy import signal
  import torch
  import torch.nn.functional
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import fetch
label_desc: Use image node_id 1 for calling a global function with example usage: get_val_files() and returns: sorted