new data loader

norwegian_parliament.py

@@ -1,23 +1,6 @@
-# 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 = {---},
@@ -34,17 +17,15 @@ The Norwegian Parliament Speeches is a collection of text passages from
 of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti.
 """
 
-
 _HOMEPAGE = "https://github.com/NBAiLab/notram/"
 
-_BASE_URL = "https://huggingface.co/datasets/NbAiLab/norwegian_parliament/blob/main/data/"
+_BASE_URL = "https://raw.githubusercontent.com/your-username/your-repo/main/data/"
 _URLS = {
-    "train": f"{_BASE_URL}/train.csv",
-    "dev": f"{_BASE_URL}/dev.csv",
-    "test": f"{_BASE_URL}/test.csv",
+    "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)"""
 
@@ -76,10 +57,12 @@ class NorwegianParliament(datasets.GeneratorBasedBuilder):
     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,
+            next(csv_reader)  # Skip the header
+            for idx, row in enumerate(csv_reader):
+                index, text, label, date = row
+                yield idx, {
+                    "text": text.strip('"'),  # Remove surrounding quotes if necessary
                     "label": label,
                     "date": date,
                 }
+