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import os |
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import json |
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import datasets |
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_DESCRIPTION = """MQA is a multilingual corpus of questions and answers parsed from the Common Crawl. Questions are divided between Frequently Asked Questions (FAQ) pages and Community Question Answering (CQA) pages.""" |
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_HOMEPAGE_URL = "https://huggingface.co/datasets/clips/mqa" |
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_CITATION = """ |
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@misc{debruyn2021mfaq, |
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title={MFAQ: a Multilingual FAQ Dataset}, |
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author={Maxime {De Bruyn} and Ehsan Lotfi and Jeska Buhmann and Walter Daelemans}, |
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year={2021}, |
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booktitle={MRQA@EMNLP2021}, |
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} |
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""" |
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_VERSION = "0.1" |
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_BASE_NAME = "" |
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_BASE_URL = "data/data.{}.{}.json.gz" |
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_LANGUAGES = [ |
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"ca", "en", "de", "es", "fr", |
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"ru", "ja", "it", "zh", "pt", |
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"nl", "tr", "pl", "vi", "ar", |
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"id", "uk", "ro", "no", "th", |
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"sv", "el", "fi", "he", "da", |
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"cs", "ko", "fa", "hi", "hu", |
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"sk", "lt", "et", "hr", "is", |
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"lv", "ms", "bg", "sr", |
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] |
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_SCOPES = ["faq", "cqa"] |
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_LEVELS = ["domain", "page", "question"] |
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class MQAConfig(datasets.BuilderConfig): |
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def __init__(self, *args, language="en", scope="all", level="question", **kwargs): |
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super().__init__( |
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*args, |
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name=f"{language}-{scope}-{level}", |
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**kwargs, |
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) |
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self.language = language |
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self.scope = scope |
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self.level = level |
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class MQA(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [] |
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for language in _LANGUAGES: |
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for scope in _SCOPES: |
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for level in _LEVELS: |
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BUILDER_CONFIGS.append(MQAConfig(language=language, scope=scope, level=level)) |
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for language in _LANGUAGES: |
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BUILDER_CONFIGS.append(MQAConfig(language=language, scope="all", level=level)) |
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for scope in _SCOPES: |
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BUILDER_CONFIGS.append(MQAConfig(language="all", scope=scope, level=level)) |
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BUILDER_CONFIG_CLASS = MQAConfig |
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def _info(self): |
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question = { |
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"id": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"name": datasets.Value("string"), |
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"domain": datasets.Value("string"), |
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"bucket": datasets.Value("string"), |
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"answers": [{ |
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"text": datasets.Value("string"), |
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"name": datasets.Value("string"), |
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"is_accepted": datasets.Value("bool"), |
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}] |
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} |
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page = { |
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"id": datasets.Value("string"), |
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"bucket": datasets.Value("string"), |
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"domain": datasets.Value("string"), |
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"questions": [question] |
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} |
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domain = { |
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"domain": datasets.Value("string"), |
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"pages": [page] |
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} |
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if self.config.level == "question": |
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features = question |
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elif self.config.level == "page": |
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features = page |
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elif self.config.level == "domain": |
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features = domain |
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else: |
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raise NotImplementedError() |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features(features), |
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supervised_keys=None, |
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homepage=_HOMEPAGE_URL, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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filenames = [] |
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languages = _LANGUAGES if self.config.language == "all" else [self.config.language] |
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scopes = _SCOPES if self.config.scope == "all" else [self.config.scope] |
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for language in languages: |
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for scope in scopes: |
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path = dl_manager.download_and_extract(_BASE_URL.format(language, scope)) |
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filenames.append(path) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"filenames": filenames}, |
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) |
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] |
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def _generate_examples(self, filenames): |
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def default(e, key, default_value=""): |
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if e[key] is None: |
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return default_value |
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return e[key] |
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for filename in filenames: |
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with open(filename, "r", encoding="utf-8") as f: |
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domain = [] |
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previous_domain = '' |
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for line in f: |
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page = json.loads(line) |
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questions = [{ |
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"text": default(question, "text"), |
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"name": default(question, "name"), |
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"domain": page["domain"], |
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"bucket": page["bucket"], |
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"id": question["hash"], |
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"answers": [{ |
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"text": default(answer, "text"), |
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"name": default(answer, "name"), |
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"is_accepted": answer["is_accepted"] |
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} for answer in question["answers"]] |
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} for question in page["questions"]] |
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page = { |
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"id": page["page_hash"], |
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"domain": page["domain"], |
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"bucket": page["bucket"], |
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"questions": questions |
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} |
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if self.config.level == "question": |
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for question in questions: |
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yield question["id"], question |
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if self.config.level == "page": |
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yield page["id"], page |
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if self.config.level == "domain": |
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if page["domain"] == previous_domain or previous_domain == "": |
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domain.append(page) |
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else: |
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yield previous_domain, { |
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"domain": previous_domain, |
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"pages": domain |
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} |
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domain = [] |
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previous_domain = page["domain"] |
