from __future__ import absolute_import, division, print_function import json import os import datasets _CITATION = """\ @dataset{kobkrit_viriyayudhakorn_2021_4539916, author = {Kobkrit Viriyayudhakorn and Charin Polpanumas}, title = {iapp_wiki_qa_squad}, month = feb, year = 2021, publisher = {Zenodo}, version = 1, doi = {10.5281/zenodo.4539916}, url = {https://doi.org/10.5281/zenodo.4539916} } """ _DESCRIPTION = """\ `iapp_wiki_qa_squad` is an extractive question answering dataset from Thai Wikipedia articles. It is adapted from [the original iapp-wiki-qa-dataset](https://github.com/iapp-technology/iapp-wiki-qa-dataset) to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, resulting in 5761/742/739 questions from 1529/191/192 articles. """ class IappWikiQaSquadConfig(datasets.BuilderConfig): def __init__(self, **kwargs): """BuilderConfig Args: **kwargs: keyword arguments forwarded to super. """ super(IappWikiQaSquadConfig, self).__init__(**kwargs) class IappWikiQaSquad(datasets.GeneratorBasedBuilder): _DOWNLOAD_URL = "https://github.com/iapp-technology/iapp-wiki-qa-dataset/raw/main/squad_format/data.zip" _TRAIN_FILE = "train.jsonl" _VALID_FILE = "valid.jsonl" _TEST_FILE = "test.jsonl" BUILDER_CONFIGS = [ IappWikiQaSquadConfig( name="iapp_wiki_qa_squad", version=datasets.Version("1.0.0"), description=_DESCRIPTION, ), ] def _info(self): return datasets.DatasetInfo( # This is the description that will appear on the datasets page. description=_DESCRIPTION, # datasets.features.FeatureConnectors features=datasets.Features( { "question_id": datasets.Value("string"), "article_id": datasets.Value("string"), "title": datasets.Value("string"), "context": datasets.Value("string"), "question": datasets.Value("string"), "answers": datasets.features.Sequence( { "text": datasets.Value("string"), "answer_start": datasets.Value("int32"), "answer_end": datasets.Value("int32"), } ), } ), # If there's a common (input, target) tuple from the features, # specify them here. They'll be used if as_supervised=True in # builder.as_dataset. supervised_keys=None, # Homepage of the dataset for documentation homepage="https://github.com/iapp-technology/iapp-wiki-qa-dataset/", citation=_CITATION, ) def _split_generators(self, dl_manager): arch_path = dl_manager.download_and_extract(self._DOWNLOAD_URL) data_dir = os.path.join(arch_path, "data") return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, self._TRAIN_FILE)}, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, self._VALID_FILE)}, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, self._TEST_FILE)}, ), ] def _generate_examples(self, filepath): """Yields examples.""" with open(filepath, encoding="utf-8") as f: for id_, row in enumerate(f): data = json.loads(row) yield id_, { "question_id": data["question_id"], "article_id": data["article_id"], "title": data["title"], "context": data["context"], "question": data["question"], "answers": { "text": data["answers"]["text"], "answer_start": data["answers"]["answer_start"], "answer_end": data["answers"]["answer_end"], }, }