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strategy-qa / strategy-qa.py

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Update strategy-qa.py

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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