| 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} |
|
|
