| 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 | |