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# 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.
import datasets
import json
_CITATION = """
"""
_DESCRIPTION = """
"""
_HOMEPAGE = ""
# TODO: Add the licence for the dataset here if you can find it
_LICENSE = ""
_URLS = {
"test": "https://raw.githubusercontent.com/wicsaax/strategy-qa/main/strategyQA_train.json",
}
class strategyQA(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("0.0.1")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="strategyQA", version=VERSION, description="Chinese dataset."
),
]
def _info(self):
features = datasets.Features(
{
"qid": datasets.Value("string"),
"term": datasets.Value("string"),
"description": datasets.Value("string"),
"question": datasets.Value("string"),
"answer": datasets.Value("bool"),
"facts": datasets.features.Sequence(datasets.Value("string")),
"decomposition": datasets.features.Sequence(datasets.Value("string"))
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
urls = {
"test": _URLS["test"]
}
data_dir = dl_manager.download_and_extract(urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": data_dir["test"], "split": "test"},
)
]
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
def _generate_examples(self, filepath, split):
with open(filepath,'r',encoding="utf-8") as f:
print(filepath)
data = json.loads(f.read())
for idx,single_data in enumerate(data):
yield f"{idx}", single_data
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