Datasets:
Tasks:
Question Answering
Sub-tasks:
multiple-choice-qa
Languages:
Bulgarian
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
Tags:
License:
File size: 4,166 Bytes
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# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.
"""TODO: Add a description here."""
import json
import os
import datasets
_CITATION = """\
@article{hardalov2019beyond,
title={Beyond english-only reading comprehension: Experiments in zero-shot multilingual transfer for bulgarian},
author={Hardalov, Momchil and Koychev, Ivan and Nakov, Preslav},
journal={arXiv preprint arXiv:1908.01519},
year={2019}
}
"""
_DESCRIPTION = """\
This new dataset is designed to do reading comprehension in Bulgarian language.
"""
_HOMEPAGE = "https://github.com/mhardalov/bg-reason-BERT"
_LICENSE = "Apache-2.0 License"
_URL = "https://raw.githubusercontent.com/mhardalov/bg-reason-BERT/master/data/bg_rc-v1.0.json"
class ReasoningBg(datasets.GeneratorBasedBuilder):
"""To test reasoning comprehension in Bulgarian Language"""
VERSION = datasets.Version("1.1.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="biology-12th", version=VERSION, description="MCQs in Biology of 12th Grade Matriculation Exam"
),
datasets.BuilderConfig(
name="philosophy-12th", version=VERSION, description="MCQs in Philosophy of 12th Grade Matriculation Exam"
),
datasets.BuilderConfig(
name="geography-12th", version=VERSION, description="MCQs in Geography of 12th Grade Matriculation Exam"
),
datasets.BuilderConfig(
name="history-12th", version=VERSION, description="MCQs in History of 12th Grade Matriculation Exam"
),
datasets.BuilderConfig(
name="history-quiz", version=VERSION, description="MCQs in Bulgarian History from Online History Quizzes"
),
]
def _info(self):
features = datasets.Features(
{
"id": datasets.Value("string"),
"url": datasets.Value("string"),
"qid": datasets.Value("int32"),
"question": datasets.Value("string"),
"answers": datasets.Sequence(datasets.Value("string")),
"correct": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
downloaded_path = dl_manager.download(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": os.path.join(downloaded_path),
"split": "train",
},
),
]
def _generate_examples(self, filepath, split):
"""Yields examples."""
with open(filepath, encoding="utf-8") as f:
content = f.read()
data = json.loads(content)["data"][self.config.name]
for page in data:
url = page["url"]
for question in page["questions"]:
yield str(question["id"]), {
"url": url,
"id": question["id"],
"qid": question["qid"],
"question": question["question"],
"answers": question["answers"],
"correct": question["correct"],
}
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