| """Russian dialogues dataset""" | |
| import json | |
| import datasets | |
| _DESCRIPTION = """\ | |
| Russian dialogues dataset | |
| """ | |
| _HOMEPAGE = "https://huggingface.co/datasets/Den4ikAI/russian_dialogues_2" | |
| _LICENSE = "mit" | |
| _URLS = [ | |
| "https://huggingface.co/datasets/Den4ikAI/russian_dialogues_2/resolve/main/dataset.jsonl.gz" | |
| ] | |
| class YandexQ(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("0.1.0") | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "sample": datasets.Value("string") | |
| } | |
| ), | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_dir = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": data_dir[0], | |
| "split": "train", | |
| }, | |
| ) | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| with open(filepath, 'r', encoding="utf-8") as f: | |
| for i, line in enumerate(f): | |
| data = json.loads(line) | |
| yield i, data | |