| import json |
| from itertools import chain |
| import datasets |
|
|
| logger = datasets.logging.get_logger(__name__) |
| _DESCRIPTION = """[PII NER]""" |
| _NAME = "pii_ner" |
| _VERSION = "1.0.1" |
|
|
| _URL = f'https://huggingface.co/datasets/acram/{_NAME}/raw/main/dataset' |
| _URLS = { |
| str(datasets.Split.TEST): [f'{_URL}/test.json'], |
| str(datasets.Split.TRAIN): [f'{_URL}/train.json'], |
| str(datasets.Split.VALIDATION): [f'{_URL}/valid.json'], |
| } |
|
|
|
|
| class PiiNERConfig(datasets.BuilderConfig): |
| """BuilderConfig""" |
|
|
| def __init__(self, **kwargs): |
| """BuilderConfig. |
| |
| Args: |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| super(PiiNERConfig, self).__init__(**kwargs) |
|
|
|
|
| class PiiNER(datasets.GeneratorBasedBuilder): |
| """Dataset.""" |
|
|
| BUILDER_CONFIGS = [ |
| PiiNERConfig(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION), |
| ] |
|
|
| def _split_generators(self, dl_manager): |
| downloaded_file = dl_manager.download_and_extract(_URLS) |
| return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]}) |
| for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]] |
|
|
| def _generate_examples(self, filepaths): |
| _key = 0 |
| for filepath in filepaths: |
| logger.info(f"generating examples from = {filepath}") |
| with open(filepath, encoding="utf-8") as f: |
| _list = [i for i in f.read().split('\n') if len(i) > 0] |
| for i in _list: |
| data = json.loads(i) |
| yield _key, data |
| _key += 1 |
|
|
| def _info(self): |
| |
| names=['O','B-NAME_STUDENT','I-NAME_STUDENT','B-STREET_ADDRESS','I-STREET_ADDRESS','B-USERNAME','B-EMAIL','B-URL_PERSONAL','B-PHONE_NUM','B-DRIVING_LICENSE', |
| 'B-PASSPORT','B-PAN_NUMBER','B-ID_NUM','B-AADHAR_ID'] |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "tokens": datasets.Sequence(datasets.Value("string")), |
| "tags": datasets.Sequence(datasets.features.ClassLabel(names=names)), |
| } |
| ), |
| supervised_keys=None, |
| ) |
