code: def get_dataset(dataset):
      if dataset == "coco":
          val_dataset = mscoco.keypoints.COCOKeyPoints(
              splits=("person_keypoints_val2017"), skip_empty=False
          )
      else:
          raise NotImplementedError(
              "Dataset: {} not supported.".format(dataset)
          )
      return val_dataset
  
file_path: gluon-cv/scripts/pose/alpha_pose/validate_tools.py
imports: import sys
  from tqdm import tqdm
  import mxnet
  import gluoncv
  from gluoncv.data import mscoco
  from gluoncv.data.transforms.pose import flip_heatmap, heatmap_to_coord_alpha_pose
  from gluoncv.data.transforms.presets.alpha_pose import AlphaPoseDefaultValTransform
  from gluoncv.utils.metrics.coco_keypoints import COCOKeyPointsMetric
  from mxnet import gluon, nd
label_desc: Use image node_id 1 for calling a global function with example usage: get_dataset(dataset) and returns: val_dataset