class_docstr: Represents the source of a Hugging Face dataset used in MLflow Tracking.
code: def _from_dict(
      cls, source_dict: Dict[Any, Any]
  ) -> "HuggingFaceDatasetSource":
      return cls(
          path=source_dict.get("path"),
          config_name=source_dict.get("config_name"),
          data_dir=source_dict.get("data_dir"),
          data_files=source_dict.get("data_files"),
          split=source_dict.get("split"),
          revision=source_dict.get("revision"),
      )
  
file_path: mlflow/mlflow/data/huggingface_dataset_source.py
imports: from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Sequence, Union
  from mlflow.data.dataset_source import DatasetSource
  from mlflow.utils.annotations import experimental
label_desc: Use image node_id 7 for calling the HuggingFaceDatasetSource obj's underlying member method code with example usage: obj._from_dict(cls, source_dict) and returns: cls