---
license: cc0-1.0
task_categories:
- summarization
language:
- nb
- nn
- 'no'
---
configs:
- config_name: default
  data_files:
  - split: dev
    path: "NorSumm_dev.json"
  - split: test
    path: "NorSumm_test.json"
---
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

NorSumm is the first manually created Norwegian news summarization datasat, created from scratch in Norwegian. The dataset consists of 378 manually generated summaries for 63 new articles. Each news article has been summarised by three native Norwegian speakers, and each generated summary has been translated to either Norwegian written form (Bokmål or Nynorsk) depending on which language the original summary has been written in.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

The dataset contains pairs of articles and six generated summaries (generetaed by three individual people, in both Bokmål and Nynorsk). The news articles represen the Bokmål portion of the Norwegian Dependency treebank data [NDT](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-10/).

- **Curated by:** Human annotators.
- **Funded by:** [MediaFutures: Research Centre for Responsible Media Technology & Innovation](https://mediafutures.no/), University of Bergen.
- **Shared by:** [WP5 -- Norwegian language technology](https://mediafutures.no/norwegian-language-technologies/), at MediaFutures
- **Language(s) (NLP):** Norwegian Bokmål and Nynorsk.
- **License:** CC0-1.0

### Dataset Sources [optional]

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- **Repository:** [https://github.com/SamiaTouileb/NorSumm](https://github.com/SamiaTouileb/NorSumm)
- **Paper [optional]:** TBD

## Uses

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The dataset is intended to be used for NLP model benchmarking.

### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

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### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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