code: def __init__(self):
      self.samples = list(range(1, 1001))
  
imports: import argparse
  import os
  import unittest
  from copy import deepcopy
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.trainers.callbacks.lr_scheduler import LRSchedulerCallback
  from mmf.utils.configuration import load_yaml
  from omegaconf import OmegaConf
label_desc: Use image node_id 1 to create a new NumbersDataset object from inherited base classes: torch.utils.data with example: obj = NumbersDataset()