Datasets:
Languages:
Indonesian
Tags:
question-answering
| # coding=utf-8 | |
| # Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from pathlib import Path | |
| from typing import List | |
| import datasets | |
| import json | |
| from nusacrowd.utils import schemas | |
| from nusacrowd.utils.configs import NusantaraConfig | |
| from nusacrowd.utils.constants import Tasks | |
| _CITATION = """\ | |
| @article{clark-etal-2020-tydi, | |
| title = "{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages", | |
| author = "Clark, Jonathan H. and | |
| Choi, Eunsol and | |
| Collins, Michael and | |
| Garrette, Dan and | |
| Kwiatkowski, Tom and | |
| Nikolaev, Vitaly and | |
| Palomaki, Jennimaria", | |
| journal = "Transactions of the Association for Computational Linguistics", | |
| volume = "8", | |
| year = "2020", | |
| address = "Cambridge, MA", | |
| publisher = "MIT Press", | |
| url = "https://aclanthology.org/2020.tacl-1.30", | |
| doi = "10.1162/tacl_a_00317", | |
| pages = "454--470", | |
| } | |
| @inproceedings{cahyawijaya-etal-2021-indonlg, | |
| title = "{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation", | |
| author = "Cahyawijaya, Samuel and | |
| Winata, Genta Indra and | |
| Wilie, Bryan and | |
| Vincentio, Karissa and | |
| Li, Xiaohong and | |
| Kuncoro, Adhiguna and | |
| Ruder, Sebastian and | |
| Lim, Zhi Yuan and | |
| Bahar, Syafri and | |
| Khodra, Masayu and | |
| Purwarianti, Ayu and | |
| Fung, Pascale", | |
| booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", | |
| month = nov, | |
| year = "2021", | |
| address = "Online and Punta Cana, Dominican Republic", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2021.emnlp-main.699", | |
| doi = "10.18653/v1/2021.emnlp-main.699", | |
| pages = "8875--8898" | |
| } | |
| """ | |
| _LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data) | |
| _LOCAL = False | |
| _DATASETNAME = "tydiqa_id" | |
| _DESCRIPTION = """\ | |
| TyDiQA dataset is collected from Wikipedia articles with human-annotated question and answer pairs covering 11 languages. | |
| The question-answer pairs are collected for each language without using translation services. | |
| IndoNLG uses the Indonesian data from the secondary Gold passage task of the original TyDiQA dataset and | |
| randomly split off 15% of the training data and use it as the test set. | |
| """ | |
| _HOMEPAGE = "https://github.com/IndoNLP/indonlg" | |
| _LICENSE = "Creative Common Attribution Share-Alike 4.0 International" | |
| # For publicly available datasets you will most likely end up passing these URLs to dl_manager in _split_generators. | |
| # In most cases the URLs will be the same for the source and nusantara config. | |
| # However, if you need to access different files for each config you can have multiple entries in this dict. | |
| # This can be an arbitrarily nested dict/list of URLs (see below in `_split_generators` method) | |
| _URLS = { | |
| _DATASETNAME: "https://storage.googleapis.com/babert-pretraining/IndoNLG_finals/downstream_task/downstream_task_datasets.zip" | |
| } | |
| _SUPPORTED_TASKS = [Tasks.QUESTION_ANSWERING] | |
| _SOURCE_VERSION = "1.0.0" | |
| _NUSANTARA_VERSION = "1.0.0" | |
| class TyDiQAIdDataset(datasets.GeneratorBasedBuilder): | |
| SOURCE_VERSION = datasets.Version(_SOURCE_VERSION) | |
| NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION) | |
| BUILDER_CONFIGS = [ | |
| NusantaraConfig( | |
| name="tydiqa_id_source", | |
| version=SOURCE_VERSION, | |
| description="TyDiQA Id source schema", | |
| schema="source", | |
| subset_id="tydiqa_id", | |
| ), | |
| NusantaraConfig( | |
| name="tydiqa_id_nusantara_qa", | |
| version=NUSANTARA_VERSION, | |
| description="TyDiQA Id Nusantara schema", | |
| schema="nusantara_qa", | |
| subset_id="tydiqa_id", | |
| ), | |
| ] | |
| DEFAULT_CONFIG_NAME = "tydiqa_id_source" | |
| def _info(self) -> datasets.DatasetInfo: | |
| if self.config.schema == "source": | |
| features = datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "context": datasets.Value("string"), | |
| "question": datasets.Value("string"), | |
| "label": datasets.Value("string") | |
| } | |
| ) | |
| elif self.config.schema == "nusantara_qa": | |
| features = schemas.qa_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]: | |
| url = _URLS[_DATASETNAME] | |
| base_path = Path(dl_manager.download_and_extract(url)) | |
| train_data_path = base_path / "IndoNLG_downstream_tasks" / "question_answering" / "train_preprocess.json" | |
| valid_data_path = base_path / "IndoNLG_downstream_tasks" / "question_answering" / "valid_preprocess.json" | |
| test_data_path = base_path / "IndoNLG_downstream_tasks" / "question_answering" / "test_preprocess.json" | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"filepath": train_data_path}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={"filepath": valid_data_path}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"filepath": test_data_path}, | |
| ) | |
| ] | |
| def _generate_examples(self, filepath: Path): | |
| if self.config.schema == "source": | |
| for example in json.load(open(filepath, 'r')): | |
| yield example["id"], example | |
| elif self.config.schema == "nusantara_qa": | |
| for example in json.load(open(filepath, 'r')): | |
| yield example["id"], { | |
| "id": example['id'], | |
| "question_id": example['id'], | |
| "document_id": example['id'], | |
| "question": example['question'], | |
| "type": 'abstractive', | |
| "choices": [], | |
| "context": example['context'], | |
| "answer": [example['label']] | |
| } | |
| else: | |
| raise ValueError(f"Invalid config: {self.config.name}") | |