primeqa.tableqa.tapex.utils.argument_utils_for_tapex.DataTrainingArguments#

class primeqa.tableqa.tapex.utils.argument_utils_for_tapex.DataTrainingArguments(dataset_name: Optional[str] = 'wikitablequestions', dataset_config_name: Optional[str] = None, train_file: Optional[str] = None, validation_file: Optional[str] = None, test_file: Optional[str] = None, overwrite_cache: bool = False, preprocessing_num_workers: Optional[int] = None, max_source_length: Optional[int] = 1024, max_target_length: Optional[int] = 128, val_max_target_length: Optional[int] = None, pad_to_max_length: bool = False, max_train_samples: Optional[int] = None, max_eval_samples: Optional[int] = None, max_predict_samples: Optional[int] = None, num_beams: Optional[int] = None, ignore_pad_token_for_loss: bool = True)#

Bases: object

Arguments pertaining to what data we are going to input our model for training and eval.

Methods

Attributes

`dataset_config_name`
`dataset_name`
`ignore_pad_token_for_loss`
`max_eval_samples`
`max_predict_samples`
`max_source_length`
`max_target_length`
`max_train_samples`
`num_beams`
`overwrite_cache`
`pad_to_max_length`
`preprocessing_num_workers`
`test_file`
`train_file`
`val_max_target_length`
`validation_file`