Datasets:
Tasks:
Text Generation
Size:
10K - 100K
| # 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 | |
| """Habrahabr 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 = "Habrahabr dataset" | |
| _URL = "habr.jsonl.zst" | |
| class HabrDataset(datasets.GeneratorBasedBuilder): | |
| """Habrahabr dataset""" | |
| 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( | |
| { | |
| "id": datasets.Value("uint32"), | |
| "language": datasets.Value("string"), | |
| "url": datasets.Value("string"), | |
| "title": datasets.Value("string"), | |
| "text_markdown": datasets.Value("string"), | |
| "text_html": datasets.Value("string"), | |
| "author": datasets.Value("string"), | |
| "original_author": datasets.Value("string"), | |
| "original_url": datasets.Value("string"), | |
| "lead_html": datasets.Value("string"), | |
| "lead_markdown": datasets.Value("string"), | |
| "type": datasets.Value("string"), | |
| "time_published": datasets.Value("uint64"), | |
| "statistics": { | |
| "commentsCount": datasets.Value("uint32"), | |
| "favoritesCount": datasets.Value("uint32"), | |
| "readingCount": datasets.Value("uint32"), | |
| "score": datasets.Value("int32"), | |
| "votesCount": datasets.Value("int32"), | |
| "votesCountPlus": datasets.Value("int32"), | |
| "votesCountMinus": datasets.Value("int32") | |
| }, | |
| "labels": datasets.Sequence(datasets.Value("string")), | |
| "hubs": datasets.Sequence(datasets.Value("string")), | |
| "flows": datasets.Sequence(datasets.Value("string")), | |
| "tags": datasets.Sequence(datasets.Value("string")), | |
| "reading_time": datasets.Value("uint32"), | |
| "format": datasets.Value("string"), | |
| "complexity": datasets.Value("string"), | |
| "comments": datasets.Sequence(feature={ | |
| "id": datasets.Value("uint64"), | |
| "parent_id": datasets.Value("uint64"), | |
| "level": datasets.Value("uint32"), | |
| "time_published": datasets.Value("uint64"), | |
| "score": datasets.Value("int32"), | |
| "votes": datasets.Value("uint32"), | |
| "message_html": datasets.Value("string"), | |
| "message_markdown": datasets.Value("string"), | |
| "author": datasets.Value("string"), | |
| "children": datasets.Sequence(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 | |