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"""CoQA dataset.""" |
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import json |
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import datasets |
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_HOMEPAGE = "" |
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_CITATION = """\ |
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""" |
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_DESCRIPTION = """\ |
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CoQCat - Conversational Question Answering in Catalan |
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""" |
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_TRAIN_FILE = "train.json" |
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_DEV_FILE = "dev.json" |
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_TEST_FILE = "test.json" |
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class Coqa(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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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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"source": datasets.Value("string"), |
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"story": datasets.Value("string"), |
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"questions": datasets.features.Sequence(datasets.Value("string")), |
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"answers": datasets.features.Sequence( |
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{ |
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"input_text": datasets.Value("string"), |
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"answer_start": datasets.Value("int32"), |
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"answer_end": datasets.Value("int32"), |
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} |
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), |
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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"{_TRAIN_FILE}", |
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"dev": f"{_DEV_FILE}", |
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"test": f"{_TEST_FILE}", |
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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"], "split": "train"}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"], "split": "validation"}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"], "split": "test"}), |
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] |
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def _generate_examples(self, filepath, split): |
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"""Yields examples.""" |
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with open(filepath, encoding="utf-8") as f: |
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data = json.load(f) |
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for row in data["data"]: |
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questions = [question["input_text"] for question in row["questions"]] |
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story = row["story"] |
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source = row["source"] |
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answers_start = [answer["span_start"] for answer in row["answers"]] |
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answers_end = [answer["span_end"] for answer in row["answers"]] |
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answers = [answer["input_text"] for answer in row["answers"]] |
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yield row["id"], { |
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"source": source, |
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"story": story, |
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"questions": questions, |
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"answers": {"input_text": answers, "answer_start": answers_start, "answer_end": answers_end}, |
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} |
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