import from S3

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- no
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** N/A
+- **Repository:** [GitHub](https://github.com/ltgoslo/NorBERT/)
+- **Paper:** N/A
+- **Leaderboard:** N/A
+- **Point of Contact:** -
+
+### Dataset Summary
+
+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. The dataset is annotated with the party the speaker was associated with at the time (dates of speeches are also included).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The text in the dataset is in Norwegian.
+
+## Dataset Structure
+
+### Data Instances
+
+Example of one instance in the dataset.
+
+```{'label': 0, 'text': 'Verre er det med slagsmålene .'}```
+
+### Data Fields
+
+- `id`: index of the example
+- `text`: Text of a speech
+- `date`: Date (`YYYY-MM-DD`) the speech was produced
+- `label`: Political party the speaker was associated with at the time
+  - 0 = Fremskrittspartiet
+  - 1 = Sosialistisk Venstreparti
+
+### Data Splits
+
+The dataset is split into a `train`, `validation`, and `test` split with the following sizes:
+
+|                            | Tain   | Valid | Test  |
+| -----                      | ------ | ----- | ----- |
+| Number of examples         | 3600   | 1200  | 1200  |
+
+The dataset is balanced on political party.
+
+## Dataset Creation
+
+This dataset is based on the publicly available information by Norwegian Parliament (Storting) and created by the National Library of Norway AI-Lab to benchmark their language models.
+
+## Additional Information
+
+### Licensing Information
+
+This work is licensed under a Creative Commons Attribution 4.0 International License
+
+### Citation Information
+
+```latex
+@misc{--,
+      title={--},
+      author={--},
+      year={2021},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

dataset_infos.json

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+{"default": {"description": "The Norwegian Parliament Speeches is a collection of text passages from\n1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members\nof the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti.\n", "citation": "\n@InProceedings{--,\n  author = {---},\n  title = {---},\n  booktitle = {---},\n  year = 2021,\n  address = \"---\"\n}\n", "homepage": "https://github.com/NBAiLab/notram/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["Fremskrittspartiet", "Sosialistisk Venstreparti"], "names_file": null, "id": null, "_type": "ClassLabel"}, "date": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "norwegian_parliament", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6646256, "num_examples": 3600, "dataset_name": "norwegian_parliament"}, "validation": {"name": "validation", "num_bytes": 2384359, "num_examples": 1200, "dataset_name": "norwegian_parliament"}, "test": {"name": "test", "num_bytes": 2350756, "num_examples": 1200, "dataset_name": "norwegian_parliament"}}, "download_checksums": {"https://storage.googleapis.com/notram-public/finetune_datasets/parliament_speeches_1998_2016_frp_or_sv/train.csv": {"num_bytes": 6691149, "checksum": "5138fa8521424df0feca43d64a6a75fb1f4d9f2e759cc78027a1dc3bb8bde7ea"}, "https://storage.googleapis.com/notram-public/finetune_datasets/parliament_speeches_1998_2016_frp_or_sv/dev.csv": {"num_bytes": 2399289, "checksum": "b5397e989015c558bc5fb5cc706282b3306a41e09e950559ac0b3eaea8d72dd2"}, "https://storage.googleapis.com/notram-public/finetune_datasets/parliament_speeches_1998_2016_frp_or_sv/test.csv": {"num_bytes": 2365709, "checksum": "d1ebce8715e69884be78713e78d34635c2e6bb67db05c46e5833c2fb433f3825"}}, "download_size": 11456147, "post_processing_size": null, "dataset_size": 11381371, "size_in_bytes": 22837518}}

norwegian_parliament.py

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+# 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://storage.googleapis.com/notram-public/finetune_datasets/parliament_speeches_1998_2016_frp_or_sv"
+_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,
+                }