class_docstr: LibriTTS dataset.
class_docstr_tok: ["LibriTTS","dataset","."]
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
      return (
          pipeline
          | beam.Create([archive_path])
          | beam.FlatMap(_extract_libritts_data)
          | beam.Reshuffle()
          | "merge_transcripts_and_audio"
          >> beam.CombinePerKey(_merge_dicts)
      )
  
file_path: datasets/tensorflow_datasets/datasets/libritts/libritts_dataset_builder.py
imports: from __future__ import annotations
  import io
  import os
  import tarfile
  import numpy
  import six
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 4 for calling the Builder obj's underlying member method code with example usage: obj._build_pcollection(pipeline, archive_path) and returns: unknown