code: def description_to_entityset(description, **kwargs):
      """Deserialize entityset from data description.
  
      Args:
          description (dict) : Description of an :class:`.EntitySet`. Likely generated using :meth:`.serialize.entityset_to_description`
          kwargs (keywords): Additional keyword arguments to pass as keywords arguments to the underlying deserialization method.
  
      Returns:
          entityset (EntitySet) : Instance of :class:`.EntitySet`.
      """
      check_schema_version(description, "entityset")
  
      from featuretools.entityset import EntitySet
  
      # If data description was not read from disk, path is None.
      path = description.get("path")
      entityset = EntitySet(description["id"])
  
      for df in description["dataframes"].values():
          if path is not None:
              data_path = os.path.join(path, "data", df["name"])
              format = description.get("format")
              if format is not None:
                  kwargs["format"] = format
                  if (
                      format == "parquet"
                      and df["loading_info"]["table_type"] == "pandas"
                  ):
                      kwargs["filename"] = df["name"] + ".parquet"
              dataframe = read_woodwork_table(
                  data_path, validate=False, **kwargs
              )
          else:
              dataframe = empty_dataframe(df, description["data_type"])
  
          entityset.add_dataframe(dataframe)
  
      for relationship in description["relationships"]:
          rel = Relationship.from_dictionary(relationship, entityset)
          entityset.add_relationship(relationship=rel)
  
      return entityset
  
file_path: featuretools/featuretools/entityset/deserialize.py
imports: import json
  import os
  import tarfile
  import tempfile
  import pandas
  import woodwork.type_sys.type_system
  from woodwork.deserialize import read_woodwork_table
  from featuretools.entityset.relationship import Relationship
  from featuretools.utils.gen_utils import Library, import_or_none
  from featuretools.utils.s3_utils import get_transport_params, use_smartopen_es
  from featuretools.utils.schema_utils import check_schema_version
  from featuretools.utils.wrangle import _is_local_tar, _is_s3, _is_url
label_desc: Use image node_id 1 for calling a global function with example usage: description_to_entityset(description) and returns: entityset