class_docstr: Provides NLU training data during training.
docstr: Creates a new NLU training data provider.
docstr_tok: ["Creates","a","new","NLU","training","data","provider","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> NLUTrainingDataProvider:
      """Creates a new NLU training data provider."""
      return cls(config, model_storage, resource)
  
file_path: rasa/rasa/graph_components/providers/nlu_training_data_provider.py
imports: from __future__ import annotations
  from typing import Dict, Text, Any
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.importers.importer import TrainingDataImporter
  from rasa.shared.nlu.training_data.training_data import TrainingData, DEFAULT_TRAINING_DATA_OUTPUT_PATH
label_desc: Use image node_id 3 for calling the NLUTrainingDataProvider obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls