code: def transform_files(self, file_paths: List[str]) -> List[str]:
      # create a dictionary matching image_path --> list of captions
      image_to_caption = defaultdict(list)
      with open(
          f"{self.raw_dataset_dir}/Flickr8k.token.txt"
      ) as captions_file:
          image_to_caption = defaultdict(list)
          for line in captions_file:
              line = line.split("#")
              # the regex is to format the string to fit properly in a csv
              line[1] = line[1].strip("\n01234.\t ")
              line[1] = re.sub('"', '""', line[1])
              line[1] = '"' + line[1] + '"'
              image_to_caption[line[0]].append(line[1])
      # create csv file with 7 columns: image_path, 5 captions, and split
      with open(
          os.path.join(self.raw_dataset_dir, "flickr8k_dataset.csv"),
          "w",
      ) as output_file:
          output_file.write("image_path,caption0,caption1,caption2,")
          output_file.write("caption3,caption4,split\n")
          splits = ["train", "dev", "test"]
          for i in range(len(splits)):
              split = splits[i]
              with open(
                  f"{self.raw_dataset_dir}/Flickr_8k.{split}Images.txt"
              ) as split_file:
                  for image_name in split_file:
                      image_name = image_name.strip("\n")
                      if image_name in image_to_caption:
                          output_file.write(
                              "{},{},{},{},{},{},{}\n".format(
                                  # Note: image folder is named Flicker8k_Dataset
                                  f"{self.raw_dataset_dir}/Flicker8k_Dataset/{image_name}",
                                  *image_to_caption[image_name],
                                  i,
                              )
                          )
      return super().transform_files(file_paths)
  
file_path: ludwig/ludwig/datasets/loaders/flickr8k.py
imports: import os
  import re
  from collections import defaultdict
  from typing import List
  from ludwig.datasets.loaders.dataset_loader import DatasetLoader
label_desc: Use image node_id 1 for calling the Flickr8kLoader obj's underlying member method code with example usage: obj.transform_files(file_paths) and returns: super