code: def load_data(
      self,
      parquet_file: PATH_TYPE,
      input_key: str,
      target_keys: Optional[Union[str, List[str]]] = None,
      target_formatter: Optional[TargetFormatter] = None,
  ) -> Dataset:
      return super().load_data(
          Dataset.from_parquet(str(parquet_file)),
          input_key,
          target_keys,
          target_formatter=target_formatter,
      )
  
imports: from functools import partial
  from typing import Any, Dict, List, Optional, Union
  import pandas
  from flash.core.data.io.classification_input import ClassificationInputMixin
  from flash.core.data.io.input import DataKeys, Input
  from flash.core.data.utilities.classification import MultiBinaryTargetFormatter, TargetFormatter
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.data.utilities.paths import PATH_TYPE
  from flash.core.utilities.imports import _TOPIC_TEXT_AVAILABLE, requires
label_desc: Use image node_id 1 for calling the TextClassificationParquetInput obj's underlying member method code with example usage: obj.load_data(parquet_file, input_key, target_keys, target_formatter) and returns: super