1.39 kB
| import datasets | |
| _CITATION = """\ | |
| @InProceedings{huggingface:dataset, | |
| title = {A great new dataset}, | |
| author={huggingface, Inc. | |
| }, | |
| year={2021} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| This is a dataset put together to pretrain a language model in Dhivehi, the language of Maldives. | |
| """ | |
| _HOMEPAGE = "https://huggingface.co/datasets/ashraq/dhivehi-corpus" | |
| _LICENSE = "" | |
| TRAIN_URL = "train.txt" | |
| class DhivehiCorpus(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.1.0") | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| }, | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| train_path = dl_manager.download_and_extract(TRAIN_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": train_path, | |
| "split": "train", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| with open(filepath, encoding="utf8") as f: | |
| id_ = 0 | |
| for line in f: | |
| yield id_, {"text": line.strip()} | |
| id_ += 1 | |