| import json | |
| from typing import List | |
| import datasets | |
| _DESCRIPTION = "Russian dataset for detection and substraction of anglicisms." | |
| _URLS = { | |
| "train": "data/train.jsonl", | |
| "test": "data/test.jsonl" | |
| } | |
| _LICENSE = "apache-2.0" | |
| class RuAnglDataset(datasets.GeneratorBasedBuilder): | |
| """Ru Anglicism Dataset""" | |
| VERSION = datasets.Version("0.2.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig(name="default", version=VERSION, description=""), | |
| ] | |
| DEFAULT_CONFIG_NAME = "default" | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "word": datasets.Value("string"), | |
| "form": datasets.Value("string"), | |
| "sentence": datasets.Value("string"), | |
| "paraphrase": datasets.Value("string") | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=("sentence", "paraphrase"), | |
| ) | |
| def _split_generators(self, dl_manager): | |
| downloaded_files = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}) | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as f: | |
| for id_, row in enumerate(f): | |
| data = json.loads(row) | |
| yield id_, data |