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---
dataset_info:
  features:
  - name: Question (Swedish)
    dtype: string
  - name: Answer (Swedish)
    dtype: string
  - name: Question (English)
    dtype: string
  - name: Answer (English)
    dtype: string
  - name: Cutoff date
    dtype: string
  splits:
  - name: train
    num_bytes: 200561
    num_examples: 1292
  download_size: 125953
  dataset_size: 200561
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
task_categories:
- question-answering
language:
- sv
pretty_name: Sweden-Related Factual Knowledge
size_categories:
- 1K<n<10K
---

This is a benchmark for Sweden-related factual knowledge. Its questions are inspired by the hosts of the Swedish radio program [Sommar I P1](https://www.sverigesradio.se/sommar-i-p1) as well as sports-related events in Sweden (e.g., events that are part of [En Svensk Klassiker](https://ensvenskklassiker.se).

Answers are designed to be minimal to enable simple string-based answer recall to approximate model performance as well as possible. Note that some samples in the dataset have multiple correct answers; if so, they are separated by commas. 

See [the preprint](https://arxiv.org/pdf/2510.21360) for more information. 

### Citation

```bibtex
@misc{kunz2025diagnosticbenchmarkswedenrelatedfactual,
      title={A Diagnostic Benchmark for Sweden-Related Factual Knowledge}, 
      author={Jenny Kunz},
      year={2025},
      eprint={2510.21360},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.21360}, 
}
```