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IlyaGusev
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ru_news

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Text Generation

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ru_news / ru_news.py

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	# coding=utf-8
	# Copyright 2023 The HuggingFace Datasets Authors and Ilya Gusev
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.

	# Lint as: python3
	"""Russian news dataset"""

	import os
	import io

	import zstandard
	import jsonlines
	import datasets

	try:
	import simdjson
	parser = simdjson.Parser()
	def parse_json(x):
	try:
	return parser.parse(x).as_dict()
	except ValueError:
	return
	except ImportError:
	import json
	def parse_json(x):
	return json.loads(x)


	_DESCRIPTION = "Russian news dataset"
	_URL = "ru_news.jsonl.zst"


	class RuNewsDataset(datasets.GeneratorBasedBuilder):
	VERSION = datasets.Version("0.0.1")

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name="default", version=VERSION, description=""),
	]

	DEFAULT_CONFIG_NAME = "default"

	def _info(self):
	features = datasets.Features(
	{
	"url": datasets.Value("string"),
	"text": datasets.Value("string"),
	"title": datasets.Value("string"),
	"source": datasets.Value("string"),
	"timestamp": datasets.Value("uint64"),
	}
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features
	)

	def _split_generators(self, dl_manager):
	downloaded_file = dl_manager.download(_URL)
	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"path": downloaded_file}),
	]

	def _generate_examples(self, path):
	with open(path, "rb") as f:
	cctx = zstandard.ZstdDecompressor()
	reader_stream = io.BufferedReader(cctx.stream_reader(f))
	reader = jsonlines.Reader(reader_stream, loads=parse_json)
	for id_, item in enumerate(reader):
	yield id_, item