class_docstr: Parent class for checks that compare two datasets.
  
  The class checks train dataset and test_dataset dataset for model training and test_dataset.
class_docstr_tok: ["Parent","class","for","checks","that","compare","two","datasets",".","The","class","checks","train","dataset","and","test_dataset","dataset","for","model","training","and","test_dataset","."]
docstr: Run check.
docstr_tok: ["Run","check","."]
code: def run_logic(self, context) -> CheckResult:
      """Run check."""
      raise NotImplementedError()
  
file_path: deepchecks/deepchecks/nlp/base_checks.py
imports: import abc
  from typing import List, Optional
  from deepchecks.core.check_result import CheckResult
  from deepchecks.core.checks import DatasetKind, SingleDatasetBaseCheck, TrainTestBaseCheck
  from deepchecks.nlp._shared_docs import docstrings
  from deepchecks.nlp.context import Context, TTextPred, TTextProba
  from deepchecks.nlp.text_data import TextData
label_desc: Use image node_id 2 for calling the TrainTestCheck obj's underlying member method code with example usage: obj.run_logic(context) without return types