docstr: input_text: str
docstr_tok: ["input_text",":","str"]
code: def __init__(self, input_text, tokenizer=None):
      """
      input_text: str
      """
      super(RawTextDataItem, self).__init__(input_text, tokenizer)
  
file_path: graph4nlp/graph4nlp/pytorch/test/graph_construction/run_batch_graph_embedding_construction.py
imports: import time
  import numpy
  import torch
  from ...data.data import GraphData, to_batch
  from ...data.dataset import DataItem
  from ...modules.utils.padding_utils import pad_2d_vals
  from ...modules.utils.vocab_utils import VocabModel
  from ...modules.graph_embedding_initialization.graph_embedding_initialization import GraphEmbeddingInitialization
label_desc: Use image node_id 1 to create a new RawTextDataItem object from inherited base classes: DataItem with example: obj = RawTextDataItem(input_text, tokenizer)