docstr: Reads source and target sequences from txt files.
docstr_tok: ["Reads","source","and","target","sequences","from","txt","files","."]
code: def __init__(self, X, y):
      """Reads source and target sequences from txt files."""
      self.X = X
      self.y = y
  
imports: import argparse
  import csv
  import json
  import math
  import time
  import numpy
  import torch
  import torch.optim
  import torch.utils.data
  from nltk.tokenize.treebank import TreebankWordDetokenizer
  from pplm_classification_head import ClassificationHead
  from torch import nn
  from torchtext import data
  from torchtext import datasets
  from tqdm import tqdm, trange
  from transformers import GPT2LMHeadModel, GPT2Tokenizer
label_desc: Use image node_id 1 to create a new Dataset object from inherited base classes: data with example: obj = Dataset(X, y)