| 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/resolve/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 |
