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import json
import datasets
_CITATION = """\
"""
_LICENSE = """\
"""
_DESCRIPTION = """\
Review classification based on Yandex Georeview dataset.
"""
_LANGUAGES = {
"ru": "Russian"
}
_HOMEPAGE_URL = ""
_DOWNLOAD_URL = "{split}.jsonl"
_VERSION = "1.0.0"
class GeoreviewClassConfig(datasets.BuilderConfig):
"""BuilderConfig for GeoreviewCalssConfig."""
def __init__(self, languages=None, **kwargs):
super(GeoreviewClassConfig, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs),
self.languages = languages
class GeoreviewClass(datasets.GeneratorBasedBuilder):
"""The Georeview Corpus"""
BUILDER_CONFIGS = [
GeoreviewClassConfig(
name='ru',
languages='ru',
description="Review classification based on Yandex Georeview dataset",
)
]
BUILDER_CONFIG_CLASS = GeoreviewClassConfig
DEFAULT_CONFIG_NAME = 'ru'
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"id": datasets.Value("string"),
"text": datasets.Value("string"),
"label": datasets.Value("int32"),
"label_text": datasets.Value("string"),
}
),
supervised_keys=None,
license=_LICENSE,
homepage=_HOMEPAGE_URL,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
train_urls = [_DOWNLOAD_URL.format(split="train")]
dev_urls = [_DOWNLOAD_URL.format(split="validation")]
test_urls = [_DOWNLOAD_URL.format(split="test")]
train_paths = dl_manager.download_and_extract(train_urls)
dev_paths = dl_manager.download_and_extract(dev_urls)
test_paths = dl_manager.download_and_extract(test_urls)
print(train_paths, dev_paths, test_paths)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_paths": train_paths}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"file_paths": dev_paths}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"file_paths": test_paths}),
]
def _generate_examples(self, file_paths):
row_count = 0
for file_path in file_paths:
with open(file_path, "r", encoding="utf-8") as f:
for line in f:
yield row_count, json.loads(line)
row_count += 1 |