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---
task_categories:
- summarization
- text2text-generation
language:
- 'no'
- nb
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: title
dtype: string
- name: url
dtype: string
- name: published
dtype: string
- name: classes
dtype: string
- name: article
dtype: string
- name: ingress
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 482362411.09144986
num_examples: 157038
- name: validation
num_bytes: 36309721.60567524
num_examples: 11821
- name: test
num_bytes: 57632967.30287493
num_examples: 18763
download_size: 364433583
dataset_size: 576305100.0
---
# VG Summarization Dataset
The source of this dataset is Norsk Aviskorpus (Norwegian newspaper corpus). This corpus includes articles from Norway’s largest newspaper from 1998 to 2019. In this dataset, we used
the first paragraph (lead) of each article as its summary. This dataset only includes articles from the Norwegian newspaper "VG".
The quality of the summary-article pairs has not been evaluated.
# License
Please refer to the license of Norsk Aviskorpus
# Citation
If you are using this dataset in your work, please cite our master thesis which this dataset was a part of
```
@mastersthesis{navjord2023beyond,
title={Beyond extractive: advancing abstractive automatic text summarization in Norwegian with transformers},
author={Navjord, J{\o}rgen Johnsen and Korsvik, Jon-Mikkel Ryen},
year={2023},
school={Norwegian University of Life Sciences, {\AA}s}
}
``` |