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# 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 = """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."""
_HOMEPAGE_URL = "https://huggingface.co/datasets/clips/mqa"
_CITATION = """
@misc{debruyn2021mfaq,
title={MFAQ: a Multilingual FAQ Dataset},
author={Maxime {De Bruyn} and Ehsan Lotfi and Jeska Buhmann and Walter Daelemans},
year={2021},
booktitle={MRQA@EMNLP2021},
}
"""
_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"] |