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: The URI referring to the dataset source filesystem location.
  
  Returns:
      The URI referring to the dataset source filesystem location,
      e.g "s3://mybucket/path/to/mydataset", "/tmp/path/to/my/dataset" etc.
docstr_tok: ["The","URI","referring","to","the","dataset","source","filesystem","location",".","Returns",":","The","URI","referring","to","the","dataset","source","filesystem","location",",","e.g","``","s3",":","\/\/mybucket\/path\/to\/mydataset","''",",","``","\/tmp\/path\/to\/my\/dataset","''","etc","."]
code: def uri(self):
      """The URI referring to the dataset source filesystem location.
  
      Returns:
          The URI referring to the dataset source filesystem location,
          e.g "s3://mybucket/path/to/mydataset", "/tmp/path/to/my/dataset" etc.
  
      """
  
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 1 for calling the FileSystemDatasetSource obj's underlying member method code with example usage: obj.uri() without return types