| import datasets | |
| import csv | |
| citation=''' | |
| @article{white2020frequency, | |
| title={Frequency, acceptability, and selection: A case study of clause-embedding}, | |
| author={White, Aaron Steven and Rawlins, Kyle}, | |
| journal={arXiv preprint arXiv:2004.04106}, | |
| year={2020} | |
| } | |
| ''' | |
| class MegaConfig(datasets.BuilderConfig): | |
| citation=citation | |
| files = ['mega-acceptability-v2.tsv', 'mega-intensionality-v1-normalized.tsv', 'mega-negraising-v1-normalized.tsv', | |
| 'mega-orientation-v1.1.tsv', 'mega-veridicality-v2.csv'] | |
| _URLs = {f:f"https://huggingface.co/datasets/metaeval/mega/blob/main/{f}" for f in files} | |
| class Mega(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [ | |
| MegaConfig( | |
| name='.'.join(n.split('.')[:-1]), | |
| data_dir=n | |
| ) for n in files | |
| ] | |
| def _split_generators(self, dl_manager: datasets.DownloadManager): | |
| data_file = dl_manager.download(_URLs) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file[self.config.data_dir]}), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo() | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as f: | |
| reader = csv.DictReader(f,delimiter='\t' if '.tsv' in self.config.data_dir else ',') | |
| for id_, row in enumerate(reader): | |
| if id_ == 0: | |
| continue | |
| yield id_, row |