| import datasets |
|
|
|
|
| logger = datasets.logging.get_logger(__name__) |
|
|
|
|
| _CITATION = """ |
| ALBUQUERQUE2022,author="Albuquerque, Hidelberg O. and Costa, Rosimeire and Silvestre, Gabriel and Souza, Ellen and da Silva, N{\'a}dia F. F. and Vit{\'o}rio, Douglas and Moriyama, Gyovana and Martins, Lucas and Soezima, Luiza and Nunes, Augusto and Siqueira, Felipe and Tarrega, Jo{\~a}o P. and Beinotti, Joao V. and Dias, Marcio and Silva, Matheus and Gardini, Miguel and Silva, Vinicius and de Carvalho, Andr{\'e} C. P. L. F. and Oliveira, Adriano L. I.", title="{UlyssesNER-Br}: A Corpus of Brazilian Legislative Documents for Named Entity Recognition", booktitle="Computational Processing of the Portuguese Language", year="2022", pages="3--14",@inproceedings{inPress, PROPOR2022} |
| """ |
|
|
| _DESCRIPTION = """ |
| PL-corpus is a Portuguese language dataset for named entity recognition applied to legislative documents. Its parte of the UlyssesBR-corpus, and consists entirely of manually annotated public bills texts (projetos de leis) and contains tags for persons, locations, date entities, organizations, legal foundation and bills. |
| """ |
|
|
| _HOMEPAGE = "https://github.com/Convenio-Camara-dos-Deputados/ulyssesner-br-propor" |
|
|
| _URL = "https://raw.githubusercontent.com/bergoliveira/assessment-of-deep-learning-models-icann/main/pl-corpus/" |
| _TRAINING_FILE = "train.conll" |
| _DEV_FILE = "dev.conll" |
| _TEST_FILE = "test.conll" |
|
|
|
|
| class PlCorpus(datasets.GeneratorBasedBuilder): |
| """pL-corpus dataset""" |
|
|
| VERSION = datasets.Version("1.0.0") |
|
|
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig(name="pl-corpus", version=VERSION, description="PL-corpus dataset"), |
| ] |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "id": datasets.Value("string"), |
| "tokens": datasets.Sequence(datasets.Value("string")), |
| "ner_tags": datasets.Sequence( |
| datasets.features.ClassLabel( |
| names=[ |
| "O", |
| "B-ORGANIZACAO", |
| "I-ORGANIZACAO", |
| "B-PESSOA", |
| "I-PESSOA", |
| "B-DATA", |
| "I-DATA", |
| "B-LOCAL", |
| "I-LOCAL", |
| "B-FUNDAMENTO", |
| "I-FUNDAMENTO", |
| "B-PRODUTODELEI", |
| "I-PRODUTODELEI", |
| "B-EVENTO", |
| "I-EVENTO", |
| ] |
| ) |
| ), |
| } |
| ), |
| supervised_keys=None, |
| homepage="https://github.com/Convenio-Camara-dos-Deputados/ulyssesner-br-propor", |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| """Returns SplitGenerators.""" |
| urls_to_download = { |
| "train": f"{_URL}{_TRAINING_FILE}", |
| "dev": f"{_URL}{_DEV_FILE}", |
| "test": f"{_URL}{_TEST_FILE}", |
| } |
| downloaded_files = dl_manager.download_and_extract(urls_to_download) |
|
|
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}, |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, |
| gen_kwargs={"filepath": downloaded_files["dev"], "split": "validation"}, |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.TEST, |
| gen_kwargs={"filepath": downloaded_files["test"], "split": "test"}, |
| ), |
| ] |
|
|
| def _generate_examples(self, filepath, split): |
| """Yields examples.""" |
|
|
| logger.info("⏳ Generating examples from = %s", filepath) |
|
|
| with open(filepath, encoding="utf-8") as f: |
|
|
| guid = 0 |
| tokens = [] |
| ner_tags = [] |
|
|
| for line in f: |
| if line == "" or line == "\n": |
| if tokens: |
| yield guid, { |
| "id": str(guid), |
| "tokens": tokens, |
| "ner_tags": ner_tags, |
| } |
| guid += 1 |
| tokens = [] |
| ner_tags = [] |
| else: |
| splits = line.split(" ") |
| tokens.append(splits[0]) |
| ner_tags.append(splits[1].rstrip()) |
|
|
| |
| yield guid, { |
| "id": str(guid), |
| "tokens": tokens, |
| "ner_tags": ner_tags, |
| } |
|
|
