File size: 5,225 Bytes
2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 2e5e727 01cd805 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 |
# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
#
# 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
"""Wikipedia dataset containing cleaned articles of all languages."""
import json
from tqdm import tqdm
import datasets
from pathlib import Path
logger = datasets.logging.get_logger(__name__)
_CITATION = """"""
_DESCRIPTION = """"""
_LICENSE = """"""
_VERSION = datasets.Version("2.0.0", "")
_NUM_SPLITS = 68
class WikipediaConfig(datasets.BuilderConfig):
"""BuilderConfig for Wikipedia."""
def __init__(self, shard=None, version=_VERSION, **kwargs):
"""BuilderConfig for Wikipedia.
Args:
split: int, split number.
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(
name=f"shard_{shard}",
description=f"Wikipedia dataset for split {shard}",
version=version,
**kwargs,
)
self.shard = shard
class Wikipedia(datasets.GeneratorBasedBuilder):
"""Wikipedia dataset."""
# Use mirror (your.org) to avoid download caps.
BUILDER_CONFIG_CLASS = WikipediaConfig
BUILDER_CONFIG = [WikipediaConfig(shard=str(id)) for id in range(_NUM_SPLITS)]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"identifier": datasets.Value("string"),
"name": datasets.Value("string"),
"namespace_name": datasets.Value("string"),
"namespace_identifier": datasets.Value("string"),
"categories": [
{
"name": datasets.Value("string"),
"url": datasets.Value("string"),
}
],
"date_modified": datasets.Value("string"),
"url": datasets.Value("string"),
"html": datasets.Value("string"),
"wikitext": datasets.Value("string"),
"in_language": datasets.Value("string"),
"main_entity": {
"identifier": datasets.Value("string"),
"url": datasets.Value("string"),
},
"is_part_of": {
"name": datasets.Value("string"),
"identifier": datasets.Value("string"),
},
"license": [
{
"name": datasets.Value("string"),
"url": datasets.Value("string"),
"identifier": datasets.Value("string"),
}
],
}
),
# No default supervised_keys.
supervised_keys=None,
homepage="https://dumps.wikimedia.org",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
data_paths = [Path(self.config.data_dir) / f"enwiki_{self.config.shard}.ndjson"]
return [
datasets.SplitGenerator( # pylint:disable=g-complex-comprehension
name=datasets.Split.TRAIN, gen_kwargs={"filepaths": data_paths}
)
]
def _generate_examples(
self,
filepaths,
):
for filepath in filepaths:
with open(filepath, "r") as f:
for line in tqdm(f):
example = json.loads(line)
clean_example = {}
clean_example["name"] = example["name"]
clean_example["identifier"] = example["identifier"]
clean_example["date_modified"] = example["date_modified"]
clean_example["namespace_name"] = example["namespace"]["name"]
clean_example["namespace_identifier"] = example["namespace"]["identifier"]
clean_example["categories"] = example.get("categories", None)
clean_example["url"] = example["url"]
clean_example["html"] = f'{example["article_body"]["html"]}'
clean_example["wikitext"] = example["article_body"]["wikitext"]
clean_example["in_language"] = example["in_language"]
clean_example["main_entity"] = example.get("main_entity", None)
clean_example["is_part_of"] = example["is_part_of"]
clean_example["license"] = example["license"]
yield clean_example["identifier"], clean_example
|