code: def load_data(in_file):
      with open(in_file) as f:
          data = [ast.literal_eval(line.strip()) for line in f]
      return data
  
file_path: fairseq/examples/textless_nlp/dgslm/sample_speech_dlm.py
imports: import os
  import ast
  import argparse
  import logging
  import torch
  from fairseq import utils
  from fairseq.models.speech_dlm import SpeechDLM
label_desc: Use image node_id 1 for calling a global function with example usage: load_data(in_file) and returns: data