| import datasets | |
| import tasksource | |
| import inspect | |
| import copy | |
| def get_kwarg_names(func): | |
| return [k for k, v in inspect.signature(func).parameters.items() if v.default != v.empty] | |
| class Dataset(datasets.GeneratorBasedBuilder): | |
| builder_configs = {} | |
| def __init__(self,*args,**kwargs): | |
| self.BUILDER_CONFIG_CLASS.__post_init__=lambda x:x | |
| base_kwargs_names=get_kwarg_names(super().__init__) | |
| gen_kwargs={} | |
| for k,v in copy.deepcopy(kwargs).items(): | |
| if k not in base_kwargs_names: | |
| gen_kwargs[k]=v | |
| del kwargs[k] | |
| self.gen_kwargs=gen_kwargs | |
| return super().__init__(*args,**kwargs) | |
| def _info(self): | |
| return datasets.DatasetInfo() | |
| def _split_generators(self, _): | |
| return [datasets.SplitGenerator(name=name, gen_kwargs={"split_name": name}) for name in ['train','validation','test']] | |
| def _generate_examples(self, split_name): | |
| i=0 | |
| for x in tasksource.load_task(self.config.name,**self.gen_kwargs)[split_name]: | |
| i+=1 | |
| yield i,x | |
| def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs): | |
| result = super()._download_and_prepare(dl_manager, "no_checks", **prepare_splits_kwargs) | |
| return result |