class_docstr: Represents the source of a dataset stored on a filesystem, e.g. a local UNIX filesystem,
  blob storage services like S3, etc.
class_docstr_tok: ["Represents","the","source","of","a","dataset","stored","on","a","filesystem",",","e.g",".","a","local","UNIX","filesystem",",","blob","storage","services","like","S3",",","etc","."]
docstr: Args:
      source_dict: A dictionary representation of the FileSystemDatasetSource.
docstr_tok: ["Args",":","source_dict",":","A","dictionary","representation","of","the","FileSystemDatasetSource","."]
code: def _from_dict(
      cls, source_dict: Dict[Any, Any]
  ) -> "FileSystemDatasetSource":
      """
      Args:
          source_dict: A dictionary representation of the FileSystemDatasetSource.
      """
  
file_path: mlflow/mlflow/data/filesystem_dataset_source.py
imports: from abc import abstractmethod
  from typing import Any, Dict
  from mlflow.data.dataset_source import DatasetSource
  from mlflow.utils.annotations import experimental
label_desc: Use image node_id 7 for calling the FileSystemDatasetSource obj's underlying member method code with example usage: obj._from_dict(cls, source_dict) without return types