class_docstr: Bigearthnet remote sensing dataset of Sentinel-2 image patches.
class_docstr_tok: ["Bigearthnet","remote","sensing","dataset","of","Sentinel-2","image","patches","."]
docstr: Generates examples as dicts.
docstr_tok: ["Generates","examples","as","dicts","."]
code: def _build_pcollection(self, pipeline, archive_path):
      """Generates examples as dicts."""
      beam = tfds.core.lazy_imports.apache_beam
      selection = self.builder_config.selection
  
      return (
          pipeline
          | "ArchivePath" >> beam.Create([archive_path])
          | "ReadArchive" >> beam.FlatMap(_read_archive, selection)
          | "Reshuffle" >> beam.transforms.Reshuffle()
          | "ProcessExamples" >> beam.Map(_process_example, selection)
      )
  
file_path: datasets/tensorflow_datasets/datasets/bigearthnet/bigearthnet_dataset_builder.py
imports: from __future__ import annotations
  import io
  import json
  import os
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling the Builder obj's underlying member method code with example usage: obj._build_pcollection(pipeline, archive_path) and returns: unknown