class_docstr: Dataloader for the original Jigsaw Toxic Comment Classification Challenge.
  Source: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
class_docstr_tok: ["Dataloader","for","the","original","Jigsaw","Toxic","Comment","Classification","Challenge",".","Source",":","https",":","\/\/www.kaggle.com\/c\/jigsaw-toxic-comment-classification-challenge"]
code: def __getitem__(self, index):
      meta = {}
      entry = self.data[index]
      text_id = entry["id"]
      text = entry["comment_text"]
  
      target_dict = {
          label: value
          for label, value in entry.items()
          if label in self.classes
      }
  
      meta["multi_target"] = torch.tensor(
          list(target_dict.values()), dtype=torch.int32
      )
      meta["text_id"] = text_id
  
      return text, meta
  
imports: import datasets
  import numpy
  import pandas
  import torch
  from torch.utils.data.dataset import Dataset
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the JigsawDataOriginal obj's underlying member method code with example usage: obj.__getitem__(index) and returns: text,  meta