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: Returns:
      A JSON-compatible dictionary representation of the FileSystemDatasetSource.
docstr_tok: ["Returns",":","A","JSON-compatible","dictionary","representation","of","the","FileSystemDatasetSource","."]
code: def _to_dict(self) -> Dict[Any, Any]:
      """
      Returns:
          A JSON-compatible 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 6 for calling the FileSystemDatasetSource obj's underlying member method code with example usage: obj._to_dict() without return types