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 string describing the filesystem containing the dataset, e.g. "local", "s3", ...
docstr_tok: ["Returns",":","A","string","describing","the","filesystem","containing","the","dataset",",","e.g",".","``","local","''",",","``","s3","''",",","..."]
code: def _get_source_type() -> str:
      """
      Returns:
          A string describing the filesystem containing the dataset, e.g. "local", "s3", ...
      """
  
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 2 for calling the FileSystemDatasetSource obj's underlying member method code with example usage: obj._get_source_type() without return types