code: def _load_caption_file(self, filename):
      with open(filename, "rt") as f:
          captions = f.readlines()
      return [x.strip("\n") for x in captions]
  
imports: import json
  from pathlib import Path
  from typing import Dict
  import torch
  from datasets import load_dataset
  from einops import rearrange
  from ldm.util import instantiate_from_config
  from omegaconf import DictConfig, ListConfig
  from PIL import Image
  from torch.utils.data import Dataset
  from torchvision import transforms
label_desc: Use image node_id 4 for calling the TextOnly obj's underlying member method code with example usage: obj._load_caption_file(filename) and returns: unknown