| """AfriQA dataset.""" |
|
|
|
|
| import json |
| import os |
| from textwrap import dedent |
|
|
| import datasets |
|
|
|
|
| _HOMEPAGE = "https://github.com/masakhane-io/afriqa" |
|
|
| _DESCRIPTION = """\ |
| AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages |
| |
| AfriQA is the first cross-lingual question answering (QA) dataset with a focus on African languages. |
| The dataset includes over 12,000 XOR QA examples across 10 African languages, making it an invaluable resource for developing more equitable QA technology. |
| """ |
|
|
| _CITATION = """\ |
| |
| """ |
|
|
| _URL = "https://github.com/masakhane-io/afriqa/raw/main/data/queries/" |
|
|
| _LANG_2_PIVOT = { |
| "bem": "en", |
| "fon": "fr", |
| "hau": "en", |
| "ibo": "en", |
| "kin": "en", |
| "swa": "en", |
| "twi": "en", |
| "wol": "fr", |
| "yor": "en", |
| "zul": "en", |
| } |
|
|
| class AfriQAConfig(datasets.BuilderConfig): |
| """BuilderConfig for AfriQA""" |
|
|
| def __init__(self, **kwargs): |
| """BuilderConfig for AfriQA. |
| Args: |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| super(AfriQAConfig, self).__init__(**kwargs) |
|
|
|
|
| class AfriQA(datasets.GeneratorBasedBuilder): |
| """AfriQA dataset.""" |
|
|
| VERSION = datasets.Version("1.0.0") |
|
|
| BUILDER_CONFIGS = [ |
| AfriQAConfig(name="bem", version=datasets.Version("1.0.0"), description="AfriQA Bemba dataset"), |
| AfriQAConfig(name="fon", version=datasets.Version("1.0.0"), description="AfriQA Fon dataset"), |
| AfriQAConfig(name="hau", version=datasets.Version("1.0.0"), description="AfriQA Hausa dataset"), |
| AfriQAConfig(name="ibo", version=datasets.Version("1.0.0"), description="AfriQA Igbo dataset"), |
| AfriQAConfig(name="kin", version=datasets.Version("1.0.0"), description="AfriQA Kinyarwanda dataset"), |
| AfriQAConfig(name="swa", version=datasets.Version("1.0.0"), description="AfriQA Swahili dataset"), |
| AfriQAConfig(name="twi", version=datasets.Version("1.0.0"), description="AfriQA Twi dataset"), |
| AfriQAConfig(name="wol", version=datasets.Version("1.0.0"), description="AfriQA Wolof dataset"), |
| AfriQAConfig(name="yor", version=datasets.Version("1.0.0"), description="AfriQA Yoruba dataset"), |
| AfriQAConfig(name="zul", version=datasets.Version("1.0.0"), description="AfriQA Zulu dataset"), |
| ] |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "question": datasets.Value("string"), |
| "answers": datasets.Value("string"), |
| "lang": datasets.Value("string"), |
| "split": datasets.Value("string"), |
| "translated_question": datasets.Value("string"), |
| "translated_answer": datasets.Value("string"), |
| "translation_type": datasets.Value("string"), |
| } |
| ), |
| homepage=_HOMEPAGE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| """Returns SplitGenerators.""" |
| urls_to_download = { |
| "train": f"{_URL}{self.config.name}/queries.afriqa.{self.config.name}.{_LANG_2_PIVOT[self.config.name]}.train.json", |
| "dev": f"{_URL}{self.config.name}/queries.afriqa.{self.config.name}.{_LANG_2_PIVOT[self.config.name]}.dev.json", |
| "test": f"{_URL}{self.config.name}/queries.afriqa.{self.config.name}.{_LANG_2_PIVOT[self.config.name]}.test.json", |
| } |
| downloaded_files = dl_manager.download_and_extract(urls_to_download) |
|
|
| return [ |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}), |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}), |
| ] |
|
|
| def _generate_examples(self, filepath): |
| """Yields examples.""" |
| with open(filepath, encoding="utf-8-sig") as f: |
| for _, row in enumerate(f): |
| example = json.loads(row) |
| _id = example["id"] |
|
|
| yield _id, { |
| "question": example["question"], |
| "answers": example["answers"], |
| "lang": example["lang"], |
| "split": example["split"], |
| "translated_question": example["translated_question"], |
| "translated_answer": example["translated_answer"], |
| "translation_type": example["translation_type"], |
| } |
