Datasets:
File size: 2,894 Bytes
6f33416 186eded 5fe7af9 6f33416 30a72d5 6f33416 48f10ca 6f33416 48f10ca 6f33416 186eded |
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 |
# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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
import json
import datasets
from dataclasses import dataclass
_CITATION = '''
coming soon ...
'''
languages = [
'english',
'french',
]
_DESCRIPTION = '100 token long Wikipedia Passages from April/May 2022'
_DATASET_URLS = {
lang: {
'collection': f'https://huggingface.co/datasets/ToluClassics/masakhane_wiki_100/resolve/main/masakhane_wiki_100-{lang}/corpus.jsonl',
} for lang in languages
}
class MrTyDiCorpus(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(
version=datasets.Version('1.1.0'),
name=lang,
description=f'Wikipedia Passages in language {lang}.'
) for lang in languages
]
def _info(self):
features = datasets.Features({
'docid': datasets.Value('string'),
'text': datasets.Value('string'),
'title': datasets.Value('string'),
})
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# This defines the different columns of the dataset and their types
features=features, # Here we define them above because they are different between the two configurations
supervised_keys=None,
# Homepage of the dataset for documentation
homepage='https://huggingface.co/datasets/ToluClassics/masakhane_wiki_100',
# License for the dataset if available
license='',
# Citation for the dataset
citation=_CITATION,
)
def _split_generators(self, dl_manager):
lang = self.config.name
downloaded_files = dl_manager.download_and_extract(_DATASET_URLS[lang])
splits = [
datasets.SplitGenerator(
name='collection',
gen_kwargs={
'filepath': downloaded_files['collection'],
},
),
]
return splits
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for line in f:
data = json.loads(line)
yield data['docid'], data |