moved folders

norwegian_parliament.py

@@ -0,0 +1,85 @@
+# 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.
+"""Norwegian Parliament Speeches (1998, 2016)"""
+import csv
+
+import datasets
+
+
+_CITATION = """
+@InProceedings{--,
+  author = {---},
+  title = {---},
+  booktitle = {---},
+  year = 2021,
+  address = "---"
+}
+"""
+
+_DESCRIPTION = """\
+The Norwegian Parliament Speeches is a collection of text passages from
+1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members
+of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti.
+"""
+
+
+_HOMEPAGE = "https://github.com/NBAiLab/notram/"
+
+_BASE_URL = "https://huggingface.co/datasets/NbAiLab/norwegian_parliament/tree/main/data/1.0.0"
+_URLS = {
+    "train": f"{_BASE_URL}/train.csv",
+    "dev": f"{_BASE_URL}/dev.csv",
+    "test": f"{_BASE_URL}/test.csv",
+}
+
+
+class NorwegianParliament(datasets.GeneratorBasedBuilder):
+    """Norwegian Parliament Speeches (1998, 2016)"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.ClassLabel(names=["Fremskrittspartiet", "Sosialistisk Venstreparti"]),
+                    "date": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(csv_file, delimiter=",")
+            for idx, (label, text, _, date) in enumerate(csv_reader):
+                label = int(label)
+                yield int(idx), {
+                    "text": text,
+                    "label": label,
+                    "date": date,
+                }