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						license: cc-by-nc-sa-4.0 | 
					
					
						
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						language: | 
					
					
						
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						- 'no' | 
					
					
						
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						--- | 
					
					
						
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						 | 
					
					
						
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						# Dataset Card | 
					
					
						
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						## Dataset Summary | 
					
					
						
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						NO-CNN-DailyMail is a Norwegian news summarization dataset partially machine translated from English version of [CNN Dailymail Dataset](https://huggingface.co/datasets/cnn_dailymail?row=34). The summaries were written by journalists at CNN and the DailyMail. The dataset can be used for Machine reading comprehension and abstractive summarization tasks. | 
					
					
						
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						## Data Instances | 
					
					
						
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						For each instance, there is an *article* string and a *positive_sample* string representing news article and abstractive summary to this article. | 
					
					
						
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						## Data Split | 
					
					
						
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						The dataset is split into train and test sets. | 
					
					
						
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						|       | #samples | | 
					
					
						
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						|-------|---------------------| | 
					
					
						
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						| train | 61181              | | 
					
					
						
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						| test  | 15287               |  | 
					
					
						
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						For English version of this dataset, please refer to [link](https://paperswithcode.com/dataset/cnn-daily-mail-1) | 
					
					
						
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						## Citation Information | 
					
					
						
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						If you feel our work is helpful, please cite our paper: | 
					
					
						
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						``` | 
					
					
						
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						@inproceedings{liu2024nlebench+, | 
					
					
						
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						  title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian}, | 
					
					
						
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						  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}, | 
					
					
						
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						  booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, | 
					
					
						
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						  pages={5543--5560}, | 
					
					
						
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						  year={2024} | 
					
					
						
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						} | 
					
					
						
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						``` | 
					
					
						
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