def __init__( self, *, data_dir_path: Path = DATA_DIR_PATH, dataset_type: DatasetType = _SubmissionPipeline.DATASET_TYPE_DEFAULT, **kwds, ): _SubmissionPipeline.__init__( self, extractor=NopExtractor(pipeline_id=self.BENCHMARK_ID), id=self.BENCHMARK_ID, transformer=KagnetCommonsenseQaSubmissionTransformer( pipeline_id=self.BENCHMARK_ID, submission_id=self.SUBMISSION_ID, data_dir_path=data_dir_path, dataset_type=getattr(DatasetType, dataset_type.upper()).value, **kwds, ), loader=RdfFileLoader( pipeline_id=self.BENCHMARK_ID, data_dir_path=data_dir_path, file_path=self._loaded_file_path( data_dir_path=data_dir_path, submission_id=self.SUBMISSION_ID, benchmark_id=self.BENCHMARK_ID, ), **kwds, ), data_dir_path=data_dir_path, **kwds, )
def __init__(self, *, data_dir_path: Path = DATA_DIR_PATH, **kwds): _Pipeline.__init__( self, extractor=NopExtractor(pipeline_id=self.ID), id=self.ID, transformer=SocialIQaBenchmarkTransformer( pipeline_id=self.ID, data_dir_path=data_dir_path, **kwds), data_dir_path=data_dir_path, **kwds, )
def __init__(self, *, data_dir_path: Path = DATA_DIR_PATH, dataset_type: str = _SubmissionPipeline.DATASET_TYPE_DEFAULT, **kwds): _SubmissionPipeline.__init__( self, extractor=NopExtractor(pipeline_id=self.BENCHMARK_ID), id=self.BENCHMARK_ID, transformer=TrianMCScriptSubmissionTransformer( pipeline_id=self.BENCHMARK_ID, submission_id=self.SUBMISSION_ID, data_dir_path=data_dir_path, dataset_type=getattr(DatasetType, dataset_type.upper()).value, **kwds, ), data_dir_path=data_dir_path, **kwds, )