class_docstr: Dataset for the Detection Track.
class_docstr_tok: ["Dataset","for","the","Detection","Track","."]
code: def annotation_urls(self):
      return {
          "train_image_label": (
              _GOOGLE_URL_PREFIX
              + "train-detection-human-imagelabels.csv"
          ),
          "train_boxes": _GOOGLE_URL_PREFIX
          + "train-detection-bbox.csv",
          "validation_image_label": (
              _GOOGLE_URL_PREFIX
              + "validation-detection-human-imagelabels.csv"
          ),
          "validation_boxes": (
              _GOOGLE_URL_PREFIX + "validation-detection-bbox.csv"
          ),
          "classes": _GOOGLE_URL_PREFIX + "classes-description-500.csv",
          "hierarchy": _GOOGLE_URL_PREFIX + "label500-hierarchy.json",
      }
  
file_path: datasets/tensorflow_datasets/datasets/open_images_challenge2019_detection/open_images_challenge2019_detection_dataset_builder.py
imports: from __future__ import annotations
  import abc
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj.annotation_urls() and returns: dict