class_docstr: Base class for classes representing a dataset for the benchmark.
class_docstr_tok: ["Base","class","for","classes","representing","a","dataset","for","the","benchmark","."]
docstr: Returns the number of examples in the dataset.
  
  Args:
    limit: If set, returns min(limit, number of examples in dataset).
  
  Returns:
    The number of examples in the dataset.
docstr_tok: ["Returns","the","number","of","examples","in","the","dataset",".","Args",":","limit",":","If","set",",","returns","min","(","limit",",","number","of","examples","in","dataset",")",".","Returns",":","The","number","of","examples","in","the","dataset","."]
code: def num_examples(self, limit=None):
      """Returns the number of examples in the dataset.
  
      Args:
        limit: If set, returns min(limit, number of examples in dataset).
  
      Returns:
        The number of examples in the dataset.
      """
      raise NotImplementedError()
  
file_path: tfx/tfx/benchmarks/benchmark_dataset.py
imports: import os
  import tensorflow
label_desc: Use image node_id 8 for calling the BenchmarkDataset obj's underlying member method code with example usage: obj.num_examples(limit) without return types