class_docstr: ArXiv dataset implementation.
  
  Args:
  
      np_random_seed (int): The random seed for numpy.
  
  Attributes:
  
      graph (pgl.Graph): The :code:`Graph` data object.
class_docstr_tok: ["ArXiv","dataset","implementation",".","Args",":","np_random_seed","(","int",")",":","The","random","seed","for","numpy",".","Attributes",":","graph","(","pgl.Graph",")",":","The",":","code",":","`","Graph","`","data","object","."]
code: def __init__(self, np_random_seed=123):
      self.path = get_default_data_dir("arXiv")
      self.np_random_seed = np_random_seed
      self._load_data()
  
imports: import os
  import io
  import sys
  import numpy
  import pickle
  from pgl.graph import Graph
label_desc: Use image node_id 1 to create a new ArXivDataset object from inherited base classes: object with example: obj = ArXivDataset(np_random_seed)