code: def netflix_collator(data):
      return {
          "input_ids": torch.stack([x[0] for x in data]),
          "attention_mask": torch.stack([x[1] for x in data]),
          "labels": torch.stack([x[0] for x in data]),
      }
  
file_path: ColossalAI/examples/language/opt/data.py
imports: import torch
  from datasets import load_dataset
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: netflix_collator(data) and returns: dict