class_docstr: Arguments pertaining to what data we are going to input our model for training and eval.
code: def __post_init__(self):
      if (
          self.dataset_name is None
          and self.train_file is None
          and self.validation_file is None
          and self.test_file is None
      ):
          raise ValueError(
              "Need either a dataset name or a training/validation file/test_file."
          )
      else:
          if self.train_file is not None:
              extension = self.train_file.split(".")[-1]
              assert extension in [
                  "csv",
                  "json",
              ], "`train_file` should be a csv or a json file."
          if self.validation_file is not None:
              extension = self.validation_file.split(".")[-1]
              assert extension in [
                  "csv",
                  "json",
              ], "`validation_file` should be a csv or a json file."
          if self.test_file is not None:
              extension = self.test_file.split(".")[-1]
              assert extension in [
                  "csv",
                  "json",
              ], "`test_file` should be a csv or a json file."
  
imports: import logging
  import os
  import sys
  from dataclasses import dataclass, field
  from typing import Optional
  import datasets
  from datasets import load_dataset
  import adapters
  import evaluate
  import transformers
  from adapters import AdapterArguments, setup_adapter_training
  from trainer_qa import QuestionAnsweringAdapterTrainer, QuestionAnsweringTrainer
  from transformers import AutoConfig, AutoModelForQuestionAnswering, AutoTokenizer, DataCollatorWithPadding, EvalPrediction, HfArgumentParser, PreTrainedTokenizerFast, TrainingArguments, default_data_collator, set_seed
  from transformers.trainer_utils import get_last_checkpoint
  from transformers.utils import check_min_version
  from transformers.utils.versions import require_version
  from utils_qa import postprocess_qa_predictions
label_desc: Use image node_id 1 for calling the DataTrainingArguments obj's underlying member method code with example usage: obj.__post_init__() without return types