from pathlib import Path from typing import List import datasets from seacrowd.utils import schemas from seacrowd.utils.configs import SEACrowdConfig from seacrowd.utils.constants import Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_SEACROWD_VIEW_NAME _DATASETNAME = "stif_indonesia" _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME _UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME _LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data) _LOCAL = False _CITATION = """\ @inproceedings{wibowo2020semi, title={Semi-supervised low-resource style transfer of indonesian informal to formal language with iterative forward-translation}, author={Wibowo, Haryo Akbarianto and Prawiro, Tatag Aziz and Ihsan, Muhammad and Aji, Alham Fikri and Prasojo, Radityo Eko and Mahendra, Rahmad and Fitriany, Suci}, booktitle={2020 International Conference on Asian Language Processing (IALP)}, pages={310--315}, year={2020}, organization={IEEE} } """ _DESCRIPTION = """\ STIF-Indonesia is formal-informal (bahasa baku - bahasa alay/slang) style transfer for Indonesian. Texts were collected from Twitter. Then, native speakers were aksed to transform the text into formal style. """ _HOMEPAGE = "https://github.com/haryoa/stif-indonesia" _LICENSE = "MIT" _BASEURL = "https://raw.githubusercontent.com/haryoa/stif-indonesia/main/data/labelled/" _URLs = { "dev.for": _BASEURL + "dev.for", "dev.inf": _BASEURL + "dev.inf", "test.for": _BASEURL + "test.for", "test.inf": _BASEURL + "test.inf", "train.for": _BASEURL + "train.for", "train.inf": _BASEURL + "train.inf", } _SUPPORTED_TASKS = [Tasks.PARAPHRASING] _SOURCE_VERSION = "1.0.0" _SEACROWD_VERSION = "2024.06.20" class STIFIndonesia(datasets.GeneratorBasedBuilder): """STIF-Indonesia is formal-informal/colloquial style transfer for Indonesian.""" BUILDER_CONFIGS = [ SEACrowdConfig( name="stif_indonesia_source", version=datasets.Version(_SOURCE_VERSION), description="STIF Indonesia source schema", schema="source", subset_id="stif_indonesia", ), SEACrowdConfig( name="stif_indonesia_seacrowd_t2t", version=datasets.Version(_SEACROWD_VERSION), description="STIF Indonesia Nusantara schema", schema="seacrowd_t2t", subset_id="stif_indonesia", ), ] DEFAULT_CONFIG_NAME = "stif_indonesia_source" def _info(self): if self.config.schema == "source": features = datasets.Features({"id": datasets.Value("string"), "formal": datasets.Value("string"), "informal": datasets.Value("string")}) elif self.config.schema == "seacrowd_t2t": features = schemas.text2text_features return datasets.DatasetInfo( description=_DESCRIPTION, features=features, homepage=_HOMEPAGE, license=_LICENSE, citation=_CITATION, ) def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: data_files = {} for key in _URLs: data_files[key] = Path(dl_manager.download_and_extract(_URLs[key])) return [ datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": { "formal": data_files["test.for"], "informal": data_files["test.inf"], } }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": { "formal": data_files["dev.for"], "informal": data_files["dev.inf"], } }, ), datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": { "formal": data_files["train.for"], "informal": data_files["train.inf"], } }, ), ] def _generate_examples(self, filepath: Path): data_for = open(filepath["formal"], "r").readlines() data_inf = open(filepath["informal"], "r").readlines() if self.config.schema == "source": for id, (row_for, row_inf) in enumerate(zip(data_for, data_inf)): ex = {"id": id, "formal": row_for.strip(), "informal": row_inf.strip()} yield id, ex elif self.config.schema == "seacrowd_t2t": for id, (row_for, row_inf) in enumerate(zip(data_for, data_inf)): ex = { "id": id, "text_1": row_for.strip(), "text_2": row_inf.strip(), "text_1_name": "formal", "text_2_name": "informal", } yield id, ex else: raise ValueError(f"Invalid config: {self.config.name}")