code: def __getitem__(
      self, index: int
  ) -> Tuple[torch.LongTensor, torch.LongTensor, torch.LongTensor]:
      row = self.eval_set.iloc[index]
  
      return (
          torch.LongTensor(row["seqs"]),
          torch.LongTensor(row["candidates"]),
          torch.LongTensor(row["labels"]),
      )
  
imports: from typing import Any, Dict, Tuple
  import pandas
  import torch
  import torch.utils.data
  from torch.utils.data.distributed import DistributedSampler
label_desc: Use image node_id 3 for calling the BertEvalDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: torch,  torch,  torch