code: def load_data(
      self,
      json_file: PATH_TYPE,
      field: str,
      input_key: str,
      target_keys: Optional[Union[str, List[str]]] = None,
      target_formatter: Optional[TargetFormatter] = None,
  ) -> Dataset:
      dataset_dict = load_dataset(
          "json", data_files={"data": str(json_file)}, field=field
      )
      return super().load_data(
          dataset_dict["data"],
          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 TextClassificationJSONInput obj's underlying member method code with example usage: obj.load_data(json_file, field, input_key, target_keys, target_formatter) and returns: super