Create medical_qa_ru_data.py

medical_qa_ru_data.py

@@ -0,0 +1,69 @@
+# 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.
+"""Russian Q&A posts from a medical related forum"""
+
+
+import csv
+
+import datasets
+
+_DESCRIPTION = """\
+This dataset contains 190,335 Russian Q&A posts from a medical related forum.
+"""
+
+#_HOMEPAGE = "??"
+
+_LICENSE = ""
+
+
+_URL = "??"
+
+
+class MedicalQARuData(datasets.GeneratorBasedBuilder):
+ def _info(self):
+ features = datasets.Features(
+ {
+ "date": datasets.Value("string"),
+ "categ": datasets.Value("string"),
+ "theme": datasets.Value("string"),
+ "desc": datasets.Value("string"),
+ "ans": datasets.Value("string"),
+ "spec10": datasets.Value("string"),
+ }
+ )
+ return datasets.DatasetInfo(
+ description=_DESCRIPTION,
+ features=features,
+ license=_LICENSE,
+ citation=_CITATION,
+ )
+
+ def _split_generators(self, dl_manager):
+ data_file = dl_manager.download_and_extract(_URL)
+ return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file})]
+
+ def _generate_examples(self, filepath):
+ """Yields examples."""
+ with open(filepath, encoding="utf-8") as f:
+ data = csv.reader(f)
+ for id_, row in enumerate(data):
+ yield id_, {
+ "date": row[0],
+ "categ": row[1],
+ "theme": row[2],
+ "desc": row[3],
+ "ans": row[4],
+ "spec10": row[5],
+ }