Datasets:

SamiaT
/

NorSumm

@@ -6,6 +6,8 @@ language:
 - nb
 - nn
 - 'no'
 ---
 configs:
 - config_name: default
@@ -20,9 +22,13 @@ configs:
 <!-- 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
@@ -41,88 +47,19 @@ The dataset contains pairs of articles and six generated summaries (generetaed b
 <!-- Provide the basic links for the dataset. -->
 - **Repository:** [https://github.com/SamiaTouileb/NorSumm](https://github.com/SamiaTouileb/NorSumm)
-- **Paper [optional]:** TBD
 ## Uses
 <!-- Address questions around how the dataset is intended to be used. -->
 The dataset is intended to be used for NLP model benchmarking.
-### Direct Use
-<!-- This section describes suitable use cases for the dataset. -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-[More Information Needed]
-## Dataset Structure
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-[More Information Needed]
-## Dataset Creation
-### Curation Rationale
-<!-- Motivation for the creation of this dataset. -->
-[More Information Needed]
-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-[More Information Needed]
-#### Who are the source data producers?
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-[More Information Needed]
-### Annotations [optional]
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-#### Annotation process
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-[More Information Needed]
 #### Who are the annotators?
-<!-- This section describes the people or systems who created the annotations. -->
-[More Information Needed]
-#### Personal and Sensitive Information
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 ## Citation [optional]
@@ -130,26 +67,21 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 **BibTeX:**
-[More Information Needed]
 **APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Dataset Card Authors [optional]
-[More Information Needed]
 ## Dataset Card Contact
-[More Information Needed]

 - nb
 - nn
 - 'no'
+size_categories:
+- n<1K
 ---
 configs:
 - config_name: default
 <!-- Provide a quick summary of the dataset. -->
+This repository contains the Norwegian Summarisation Benchmark Dataset, which consists of 378 human-authored summaries from prominent Norwegian news sources across various domains. The dataset is designed to benchmark the abstractive summarisation capabilities of generative language models. 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.
+The accompanying paper by [Touileb et al. (2025)](https://arxiv.org/pdf/2501.07718) provides a comprehensive account of the data creation process and evaluates the performance of existing open large language models for Norwegian on this dataset. Additionally, it offers insights from a manual human evaluation, comparing human-authored summaries to those generated by models. The findings suggest that the dataset presents a challenging benchmark for assessing the summarisation capabilities of LLMs in Norwegian.
+## Source data
+We used a subset of news articles from the Norwegian event extraction dataset EDEN [(Touileb et al., 2024)](https://aclanthology.org/2024.lrec-main.488/), as the source for summarisation. Due to the time-intensive nature of creating summaries, we only created summaries for the development and test splits of EDEN, comprising 30 and 33 news articles, respectively.
 ### Dataset Description
 <!-- Provide the basic links for the dataset. -->
 - **Repository:** [https://github.com/SamiaTouileb/NorSumm](https://github.com/SamiaTouileb/NorSumm)
+- **Paper [optional]:** [Touileb et al. (2025)](https://arxiv.org/pdf/2501.07718). Benchmarking Abstractive Summarisation: A Dataset of Human-authored Summaries of Norwegian News Articles. Accepted at NoDaLiDa2025.
 ## Uses
 <!-- Address questions around how the dataset is intended to be used. -->
 The dataset is intended to be used for NLP model benchmarking.
+## Terms of use
+The license is the same as the underlying Norwegian Dependency Treebank and is Creative Commons (CC) Licence Name: Creative_Commons-ZERO (CC-ZERO).
 #### Who are the annotators?
+We hired three annotators with strong academic backgrounds related to journalism, all Norwegian native speakers. They were fairly compensated following an hourly contract, and were hired for a period of 6 months. All annotators have a background in media science or journalism.
 ## Citation [optional]
 **BibTeX:**
+@article{touileb2025benchmarking,
+  title={Benchmarking Abstractive Summarisation: A Dataset of Human-authored Summaries of Norwegian News Articles},
+  author={Touileb, Samia and Mikhailov, Vladislav and Kroka, Marie and {\O}vrelid, Lilja and Velldal, Erik},
+  journal={arXiv preprint arXiv:2501.07718},
+  year={2025}
+}
 **APA:**
+Touileb, S., Mikhailov, V., Kroka, M., Øvrelid, L., & Velldal, E. (2025). Benchmarking Abstractive Summarisation: A Dataset of Human-authored Summaries of Norwegian News Articles. arXiv preprint arXiv:2501.07718.
+## Dataset Card Authors
+Samia Touileb
 ## Dataset Card Contact
+Samia Touileb