Datasets:

Modalities:
Text
Formats:
json
Languages:
Norwegian
ArXiv:
Libraries:
Datasets
pandas
License:
File size: 1,307 Bytes
5ad728d
 
a8c2af9
 
5ad728d
a8c2af9
 
 
 
 
 
 
538224f
 
 
 
 
 
bf74713
538224f
 
c385b47
 
 
 
 
bf74713
 
6a9f3ea
 
 
 
 
 
538224f
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
---
license: cc-by-sa-3.0
language:
- 'no'
---

## Dataset Card for NO-BoolQ ##

NO-BoolQ is machine translated from [Google Boolq dataset](https://huggingface.co/datasets/google/boolq). It is a question answering dataset split with train, test and validation set the same with it's original dataset.

This dataset belongs to NLEBench Norwegian benchmarks for evaluation on Norwegian Natrual Language Undersanding (NLU) tasks. 

## Licensing Information

This dataset is built upon the existing datasets. We therefore follow its original license information.


## Citation Information
If you feel our work is helpful, please cite our papers:

```
@article{gulla2026norwai,
  title={NorwAI's Large Language Models: Technical Report},
  author={Gulla, Jon Atle and Liu, Peng and Zhang, Lemei},
  journal={arXiv preprint arXiv:2601.03034},
  year={2026}
}

@inproceedings{liu2024nlebench+,
  title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian},
  author={Liu, Peng and Zhang, Lemei and Farup, Terje and Lauvrak, Even and Ingvaldsen, Jon and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
  booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  pages={5543--5560},
  year={2024}
}
```