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