# coding=utf-8 # Copyright 2020 HuggingFace Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Lint as: python3 import os import gzip import json import datasets _DESCRIPTION = """ """ _HOMEPAGE_URL = "" _CITATION = """""" _VERSION = "0.1" _BASE_NAME = "" _BASE_URL = "data/data.{}.{}.json.gz" _LANGUAGES = [ "ca", "en", "de", "es", "fr", "ru", "ja", "it", "zh", "pt", "nl", "tr", "pl", "vi", "ar", "id", "uk", "ro", "no", "th", "sv", "el", "fi", "he", "da", "cs", "ko", "fa", "hi", "hu", "sk", "lt", "et", "hr", "is", "lv", "ms", "bg", "sr", ] _SCOPES = ["faq", "cqa"] _LEVELS = ["domain", "page", "question"] class MQAConfig(datasets.BuilderConfig): def __init__(self, *args, language="en", scope="all", level="question", **kwargs): super().__init__( *args, name=f"{language}-{scope}-{level}", **kwargs, ) self.language = language self.scope = scope self.level = level class MQA(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [] for language in _LANGUAGES: for scope in _SCOPES: for level in _LEVELS: BUILDER_CONFIGS.append(MQAConfig(language=language, scope=scope, level=level)) for language in _LANGUAGES: BUILDER_CONFIGS.append(MQAConfig(language=language, scope="all", level=level)) for scope in _SCOPES: BUILDER_CONFIGS.append(MQAConfig(language="all", scope=scope, level=level)) BUILDER_CONFIG_CLASS = MQAConfig def _info(self): question = { "id": datasets.Value("string"), "text": datasets.Value("string"), "name": datasets.Value("string"), "domain": datasets.Value("string"), "bucket": datasets.Value("string"), "answers": [{ "text": datasets.Value("string"), "name": datasets.Value("string"), "is_accepted": datasets.Value("bool"), }] } page = { "id": datasets.Value("string"), "bucket": datasets.Value("string"), "domain": datasets.Value("string"), "questions": [question] } domain = { "domain": datasets.Value("string"), "pages": [page] } if self.config.level == "question": features = question elif self.config.level == "page": features = page elif self.config.level == "domain": features = domain else: raise NotImplementedError() return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features(features), supervised_keys=None, homepage=_HOMEPAGE_URL, citation=_CITATION, ) def _split_generators(self, dl_manager): filenames = [] languages = _LANGUAGES if self.config.language == "all" else [self.config.language] scopes = _SCOPES if self.config.scope == "all" else [self.config.scope] for language in languages: for scope in scopes: path = dl_manager.download_and_extract(_BASE_URL.format(language, scope)) filenames.append(path) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"filenames": filenames}, ) ] def _generate_examples(self, filenames): def default(e, key, default_value=""): if e[key] is None: return default_value return e[key] for filename in filenames: with open(filename, "r") as f: domain = [] previous_domain = '' for line in f: page = json.loads(line) questions = [{ "text": default(question, "text"), "name": default(question, "name"), "domain": page["domain"], "bucket": page["bucket"], "id": question["hash"], "answers": [{ "text": default(answer, "text"), "name": default(answer, "name"), "is_accepted": answer["is_accepted"] } for answer in question["answers"]] } for question in page["questions"]] page = { "id": page["page_hash"], "domain": page["domain"], "bucket": page["bucket"], "questions": questions } if self.config.level == "question": for question in questions: yield question["id"], question if self.config.level == "page": yield page["id"], page if self.config.level == "domain": if page["domain"] == previous_domain or previous_domain == "": domain.append(page) else: yield previous_domain, { "domain": previous_domain, "pages": domain } domain = [] previous_domain = page["domain"]