"""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 | |