import json from typing import List import datasets LANGUAGES = ["ar", "de", "es", "fr", "hi", "it", "ja", "pt"] DATA_PATH = "mintaka_test.json" class MintakaQAConfig(datasets.BuilderConfig): def __init__(self, language, **kwargs): super().__init__(**kwargs) self.language = language class MintakaQA(datasets.GeneratorBasedBuilder): BUILDER_CONFIG_CLASS = MintakaQAConfig BUILDER_CONFIGS = [ MintakaQAConfig(name=language, language=language) for language in LANGUAGES ] def _info(self): return datasets.DatasetInfo( description="Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering.", features=datasets.Features( { "id": datasets.Value("string"), "question": datasets.Value("string"), "answer": datasets.Value("string"), } ), homepage="https://github.com/amazon-science/mintaka", citation="https://aclanthology.org/2022.coling-1.138", ) def _split_generators( self, dl_manager: datasets.DownloadManager ) -> List[datasets.SplitGenerator]: downloaded_file = dl_manager.download_and_extract(DATA_PATH) return [ datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_file} ), ] def _generate_examples(self, filepath): with open(filepath) as f: data = json.load(f) id_ = 0 for example in data: if example["answer"]["answerType"] == "entity": question = example["translations"][self.config.language] answer = ( example["answer"]["answer"][0]["label"][self.config.language] if example["answer"]["answer"] else example["answer"]["mention"] ) if not answer or not question: continue yield id_, {"id": id_, "question": question, "answer": answer} id_ += 1