class_docstr: Base abstract class for Open Images Challenge 2019 datasets.
class_docstr_tok: ["Base","abstract","class","for","Open","Images","Challenge","2019","datasets","."]
docstr: Dictionary passed to the DownloadManager to download annotations.
  
  An example:
    {"test_annotations": "https://somewebpage.com/data/openimages/test.txt"}
  
  Returns:
    A dictionary whose values are the URLs to download the annotations of the
    dataset, and the keys are some short string identifying the URL.
    This dictionary is passed to the DownloadManager.
docstr_tok: ["Dictionary","passed","to","the","DownloadManager","to","download","annotations",".","An","example",":","{","``","test_annotations","''",":","``","https",":","\/\/somewebpage.com\/data\/openimages\/test.txt","''","}","Returns",":","A","dictionary","whose","values","are","the","URLs","to","download","the","annotations","of","the","dataset",",","and","the","keys","are","some","short","string","identifying","the","URL",".","This","dictionary","is","passed","to","the","DownloadManager","."]
code: def annotation_urls(self):
      """Dictionary passed to the DownloadManager to download annotations.
  
      An example:
        {"test_annotations": "https://somewebpage.com/data/openimages/test.txt"}
  
      Returns:
        A dictionary whose values are the URLs to download the annotations of the
        dataset, and the keys are some short string identifying the URL.
        This dictionary is passed to the DownloadManager.
      """
  
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 _OpenImagesChallenge2019 obj's underlying member method code with example usage: obj.annotation_urls() without return types