class_docstr: Describes a set of data that a source node in the dataflow plan contains.
class_docstr_tok: ["Describes","a","set","of","data","that","a","source","node","in","the","dataflow","plan","contains","."]
code: def __init__(self, instance_set: InstanceSet) -> None:  # noqa:
      self._instance_set = instance_set
  
file_path: metricflow/metricflow/dataset/dataset.py
imports: from __future__ import annotations
  import logging
  from typing import Optional, Sequence
  from dbt_semantic_interfaces.references import TimeDimensionReference
  from dbt_semantic_interfaces.type_enums.date_part import DatePart
  from dbt_semantic_interfaces.type_enums.time_granularity import TimeGranularity
  from dbt_semantic_interfaces.validations.unique_valid_name import MetricFlowReservedKeywords
  from metricflow.instances import InstanceSet, TimeDimensionInstance
  from metricflow.specs.specs import TimeDimensionSpec
label_desc: Use image node_id 1 to create a new DataSet object  with example: obj = DataSet(instance_set)