Create strategy-qa.py

strategy-qa.py

@@ -0,0 +1,85 @@
+# 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://github.com/wicsaax/strategy-qa/blob/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, encoding="utf-8") as f:
+            data = json.loads(f.read())
+            for article_idx,single_data in enumerate(data):
+                
+                yield f"{article_idx}_{i}", single_data