class_docstr: BuilderConfig for LAION-400M.
class_docstr_tok: ["BuilderConfig","for","LAION-400M","."]
docstr: BuilderConfig for LAION-400M.
  
  Args:
    num_shards: `int`, the number of shards in the dataset
    **kwargs: keyword arguments forwarded to super
docstr_tok: ["BuilderConfig","for","LAION-400M",".","Args",":","num_shards",":","`","int","`",",","the","number","of","shards","in","the","dataset","*","*","kwargs",":","keyword","arguments","forwarded","to","super"]
code: def __init__(self, *, num_shards: int, **kwargs):
      """BuilderConfig for LAION-400M.
  
      Args:
        num_shards: `int`, the number of shards in the dataset
        **kwargs: keyword arguments forwarded to super
      """
      super().__init__(**kwargs)
      self.num_shards = num_shards
  
file_path: datasets/tensorflow_datasets/vision_language/laion400m/laion400m.py
imports: import functools
  from typing import Dict, Tuple
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new Laion400mConfig object from inherited base classes: tfds.core with example: obj = Laion400mConfig()