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import json |
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import os |
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import datasets |
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from datasets.tasks import QuestionAnsweringExtractive |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """""" |
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_DESCRIPTION = """\ |
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Manually generated dataset for policies qa |
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""" |
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_URLS = { |
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"train": "./data/train.json", |
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"test": "./data/test.json" |
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} |
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class PoliciesQAConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Ineract Policies.""" |
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def __init__(self, **kwargs): |
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"""BuilderConfig for Ineract Policies. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(PoliciesQAConfig, self).__init__(**kwargs) |
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class PoliciesQA(datasets.GeneratorBasedBuilder): |
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"""Ineract Policies: The Policy Question Answering Dataset. Version 0.1""" |
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BUILDER_CONFIGS = [ |
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PoliciesQAConfig( |
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name="plain_text", |
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version=datasets.Version("1.0.0", ""), |
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description="Plain text", |
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), |
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] |
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DEFAULT_CONFIG_NAME = "plain_text" |
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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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"context": datasets.Value("string"), |
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"question": datasets.Value("string"), |
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"answers": datasets.features.Sequence( |
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{ |
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"text": datasets.Value("string"), |
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"answer_start": datasets.Value("int32"), |
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} |
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), |
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} |
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), |
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supervised_keys=None, |
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homepage="ineract.com", |
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task_templates=[ |
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QuestionAnsweringExtractive( |
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question_column="question", context_column="context", answers_column="answers" |
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) |
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], |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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downloaded_files = dl_manager.download_and_extract(_URLS) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={ |
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"filepath": downloaded_files["train"], "split": "train"}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={ |
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"filepath": downloaded_files["test"], "split": "test"}) |
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] |
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def _generate_examples(self, filepath, split): |
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print(os.fspath(filepath)) |
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"""This function returns the examples in the raw (text) form.""" |
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logger.info("generating examples from = %s", filepath) |
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key = 0 |
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with open(filepath, encoding="utf-8") as f: |
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policies = json.load(f) |
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for policy in policies["data"]: |
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context = policy["context"] |
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question = policy["question"] |
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answer_starts = [answer_start |
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for answer_start in policy["answers"]["answer_start"]] |
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answers = [ |
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answer_text for answer_text in policy["answers"]["text"]] |
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yield key, { |
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"context": context, |
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"question": question, |
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"answers": { |
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"answer_start": answer_starts, |
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"text": answers, |
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}, |
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} |
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key += 1 |
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