metadata

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

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}
}