Datasets:
Tasks:
Text Classification
Languages:
Norwegian
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- found | |
language: | |
- no | |
license: | |
- 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 | |
This is a classification dataset created from a subset of the [Talk of Norway](https://www.nb.no/sprakbanken/ressurskatalog/oai-repo-clarino-uib-no-11509-123/). This dataset contains text phrases from the political parties Fremskrittspartiet and Sosialistisk Venstreparti. The dataset is annotated with the party the speaker, as well as a timestamp. The classification task is to, simply by looking at the text, being able to predict is the speech was done by a representative from Fremskrittspartiet or from SV. | |
### Supported Tasks and Leaderboards | |
This dataset is meant for classification. | |
The first model tested on this dataset was [NB-BERT-base](NbAiLab/nb-bert-base), claiming a F1-score of [81.9](https://arxiv.org/abs/2104.09617)). The dataset was also used for testing the North-T5-models, where the XXL model ](https://huggingface.co/north/t5_xxl_NCC) claims a F1-score of 91.8. | |
Please note that some of the text-fields are quite long. Truncating the text fields, for instance when switching tokenizers, will also make the task harder. | |
### Languages | |
The text in the dataset is in Norwegian. | |
## Dataset Structure | |
### Data Fields | |
- `text`: Text of a speech | |
- `date`: Date (`YYYY-MM-DD`) the speech was held | |
- `label`: Political party the speaker was associated with at the time | |
- 0 | |
- 1 | |
- `full_label`: Political party the speaker was associated with at the time | |
- Fremskrittspartiet | |
- 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 | |
The [Talk of Norway dataset](https://www.nb.no/sprakbanken/ressurskatalog/oai-repo-clarino-uib-no-11509-123/) is also available at the [LTG Talk-of-Norway Github](https://github.com/ltgoslo/talk-of-norway). | |
### Licensing Information | |
This work is licensed under a Creative Commons Attribution 4.0 International License. | |
### Citation Information | |
The following article can be quoted when referring to this dataset, since it is the first study that are using the dataset for evaluating a language model: | |
``` | |
@inproceedings{kummervold-etal-2021-operationalizing, | |
title = {Operationalizing a National Digital Library: The Case for a {N}orwegian Transformer Model}, | |
author = {Kummervold, Per E and | |
De la Rosa, Javier and | |
Wetjen, Freddy and | |
Brygfjeld, Svein Arne", | |
booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)}, | |
year = "2021", | |
address = "Reykjavik, Iceland (Online)", | |
publisher = {Link{"o}ping University Electronic Press, Sweden}, | |
url = "https://aclanthology.org/2021.nodalida-main.3", | |
pages = "20--29", | |
abstract = "In this work, we show the process of building a large-scale training set from digital and digitized collections at a national library. | |
The resulting Bidirectional Encoder Representations from Transformers (BERT)-based language model for Norwegian outperforms multilingual BERT (mBERT) models | |
in several token and sequence classification tasks for both Norwegian Bokm{aa}l and Norwegian Nynorsk. Our model also improves the mBERT performance for other | |
languages present in the corpus such as English, Swedish, and Danish. For languages not included in the corpus, the weights degrade moderately while keeping strong multilingual properties. Therefore, | |
we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.", | |
} | |
``` | |