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,
)