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import datasets
import json
_NAME = 'RuNNE'
_CITATION = '''
@article{Artemova2022runne,
title={{RuNNE-2022 Shared Task: Recognizing Nested Named Entities}},
author={Artemova, Ekaterina and Zmeev, Maksim and Loukachevitch,
Natalia and Rozhkov, Igor and Batura, Tatiana and Braslavski,
Pavel and Ivanov, Vladimir and Tutubalina, Elena},
journal={Computational Linguistics and Intellectual Technologies:
Proceedings of the International Conference "Dialog"},
year={2022}
}
'''.strip()
_DESCRIPTION = 'A Russian Dataset with Nested Named Entities'
_HOMEPAGE = 'https://github.com/dialogue-evaluation/RuNNE'
_VERSION = '1.0.0'
class RuNNEBuilder(datasets.GeneratorBasedBuilder):
_DATA_URLS = {
'train': 'data/train.jsonl',
'test': 'data/test.jsonl',
'dev': 'data/dev.jsonl'
}
_ENTITY_TYPES_URLS = {
'ent_types': 'ent_types.txt'
}
VERSION = datasets.Version(_VERSION)
BUILDER_CONFIGS = [
datasets.BuilderConfig('data',
version=VERSION,
description='Data'),
datasets.BuilderConfig('ent_types',
version=VERSION,
description='Entity types list')
]
DEFAULT_CONFIG_NAME = 'data'
def _info(self) -> datasets.DatasetInfo:
if self.config.name == 'data':
features = datasets.Features({
'id': datasets.Value('int32'),
'text': datasets.Value('string'),
'entities': datasets.Sequence(datasets.Value('string'))
})
else:
features = datasets.Features({
'type': datasets.Value('string')
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
citation=_CITATION
)
def _split_generators(self, dl_manager: datasets.DownloadManager):
if self.config.name == 'data':
files = dl_manager.download(self._DATA_URLS)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={'filepath': files['train']},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={'filepath': files['test']},
),
datasets.SplitGenerator(
name='dev',
gen_kwargs={'filepath': files['dev']},
),
]
else:
files = dl_manager.download(self._ENTITY_TYPES_URLS)
return [datasets.SplitGenerator(
name='ent_types',
gen_kwargs={'filepath': files['ent_types']},
)]
def _generate_examples(self, filepath):
if self.config.name == 'data':
with open(filepath, encoding='utf-8') as f:
for line in f:
doc = json.loads(line)
yield doc['id'], doc
else:
with open(filepath, encoding='utf-8') as f:
for i, line in enumerate(f):
entity_type = line.strip()
if entity_type:
yield i, {'type': entity_type}
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