class_docstr: Represents a HuggingFace dataset for use with MLflow Tracking.
class_docstr_tok: ["Represents","a","HuggingFace","dataset","for","use","with","MLflow","Tracking","."]
docstr: Hugging Face dataset source information.
  
  Returns:
      A :py:class:`mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource`
docstr_tok: ["Hugging","Face","dataset","source","information",".","Returns",":","A",":","py",":","class",":","`","mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource","`"]
code: def source(self) -> HuggingFaceDatasetSource:
      """Hugging Face dataset source information.
  
      Returns:
          A :py:class:`mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource`
      """
      return self._source
  
imports: import json
  import logging
  from functools import cached_property
  from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Sequence, Union
  from mlflow.data.dataset import Dataset
  from mlflow.data.digest_utils import compute_pandas_digest
  from mlflow.data.huggingface_dataset_source import HuggingFaceDatasetSource
  from mlflow.data.pyfunc_dataset_mixin import PyFuncConvertibleDatasetMixin, PyFuncInputsOutputs
  from mlflow.exceptions import MlflowException
  from mlflow.models.evaluation.base import EvaluationDataset
  from mlflow.protos.databricks_pb2 import INTERNAL_ERROR, INVALID_PARAMETER_VALUE
  from mlflow.types import Schema
  from mlflow.types.utils import _infer_schema
  from mlflow.utils.annotations import experimental
label_desc: Use image node_id 6 for calling the HuggingFaceDataset obj's underlying member method code with example usage: obj.source() and returns: self