| import datasets |
|
|
| logger = datasets.logging.get_logger(__name__) |
|
|
| _CITATION = """ |
| @InProceedings{huggingface:dataset, |
| title = {Luganda, Kanuri, and Hausa NER Dataset}, |
| author = {multiple authors}, |
| year = {2022} |
| } |
| """ |
|
|
| _DESCRIPTION = """ |
| LugandaPII is a dataset that includes named entities such as PERSON, ORG, LOCATION, NORP, USERID, and DATE. |
| The dataset is available in Lum, Kanuri, and Hausa languages, distributed across train, validation, and test splits. |
| """ |
|
|
| _URL = "https://github.com/EricPeter/pii/raw/main/data" |
| _TRAINING_FILE = "train.txt" |
| _VAL_FILE = "val.txt" |
| _TEST_FILE = "test.txt" |
|
|
| class LugPIIConfig(datasets.BuilderConfig): |
| """Configuration for LugandaPII dataset.""" |
| def __init__(self, **kwargs): |
| super().__init__(**kwargs) |
|
|
| class Masakhaner(datasets.GeneratorBasedBuilder): |
| """Generator for Masakhaner dataset.""" |
| BUILDER_CONFIGS = [ |
| LugPIIConfig(name="lug", version=datasets.Version("1.0.0"), description="PII NER dataset for Luganda."), |
| LugPIIConfig(name="hau", version=datasets.Version("1.0.0"), description="PII NER dataset for Hausa."), |
| LugPIIConfig(name="knr", version=datasets.Version("1.0.0"), description="PII NER dataset for Kanuri."), |
| LugPIIConfig(name="lum", version=datasets.Version("1.0.0"), description="PII NER dataset for Lum."), |
| ] |
|
|
| 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=['B-DATE', |
| 'B-GOVT_ID', |
| 'B-LOC', |
| 'B-LOCATION', |
| 'B-NORP', |
| 'B-ORG', |
| 'B-PERSON', |
| 'B-USERID', |
| 'B-USER_ID', |
| 'I-DATE', |
| 'I-GOVT_ID', |
| 'I-LOC', |
| 'I-LOCATION', |
| 'I-NORP', |
| 'I-ORG', |
| 'I-PERSON', |
| 'I-USERID', |
| 'I-USER_ID', |
| 'L-DATE', |
| 'L-GOVT_ID', |
| 'L-LOC', |
| 'L-LOCATION', |
| 'L-NORP', |
| 'L-ORG', |
| 'L-PERSON', |
| 'L-USERID', |
| 'L-USER_ID', |
| 'O', |
| 'U-DATE', |
| 'U-GOVT_ID', |
| 'U-LOCATION', |
| 'U-NORP', |
| 'U-ORG', |
| 'U-PERSON', |
| 'U-USERID'])), |
| }), |
| supervised_keys=None, |
| homepage="", |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| lang_code = self.config.name |
| urls_to_download = { |
| "train": f"{_URL}/{lang_code}/{_TRAINING_FILE}", |
| "val": f"{_URL}/{lang_code}/{_VAL_FILE}", |
| "test": f"{_URL}/{lang_code}/{_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"]}), |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}), |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}) |
| ] |
|
|
| def _generate_examples(self, filepath): |
| 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.strip() == "": |
| if tokens: |
| yield guid, {"id": str(guid), "tokens": tokens, "ner_tags": ner_tags} |
| guid += 1 |
| tokens = [] |
| ner_tags = [] |
| continue |
| splits = line.strip().split() |
| tokens.append(splits[0]) |
| ner_tags.append(splits[1]) |
| if tokens: |
| yield guid, {"id": str(guid), "tokens": tokens, "ner_tags": ner_tags} |
|
|
