Datasets:

Modalities:
Text
Formats:
json
Languages:
Basque
ArXiv:
Libraries:
Datasets
pandas
License:
File size: 2,654 Bytes
b9c80ac
 
 
 
 
 
 
 
fad5a26
b9c80ac
 
 
 
 
 
 
 
5d7e192
b9c80ac
 
 
 
 
 
 
 
 
85401cb
 
b9c80ac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fad5a26
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
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
---
license: cc-by-nc-sa-4.0
task_categories:
- summarization
- text-generation
- fill-mask
language:
- eu
pretty_name: BasqueSumm
size_categories:
- 100K<n<1M
---
# BasqueSumm

BasqueSumm was automatically compiled from www.berria.eus 
using [trafilatura](https://trafilatura.readthedocs.io) to extract the texts.

Each instance has the following key-value pairs:

* `"date"` (str): When the article was published, formatted as `"yyyy-mm-dd"`.
* `"url"` (str): The URL of the original publication.
* `"category"` (str): the articles topic, e.g., economy, society.
* `"title"` (str): The title of the article.
* `"subtitle"` (str): The subtitle of the article.
* `"summary"` (str): The combined title + subtitle, which acts as a proxy for a reference summary.
* `"text"` (str): The news article.


## Dataset Details
* **Curated by**: Jeremy Barnes
* **Language(s) (NLP)**: Basque (`es-EU`)
* **License**: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)

## Dataset Sources
* **Respository**: https://github.com/hitz-zentroa/summarization
* **Paper**: [Summarization Metrics for Spanish and Basque: Do Automatic Scores and LLM-Judges Correlate with Humans?](https://arxiv.org/abs/2503.17039)

## Acknowledgements

This work has been partially supported by the Basque Government (IKER-GAITU project), the
Spanish Ministry for Digital Transformation and of Civil Service, and the EU-funded
NextGenerationEU Recovery, Transformation and Resilience Plan (ILENIA project,
2022/TL-22/00215335 and 2022/TL22/00215334). Additional support was provided through
DeepR3 (TED2021-130295B-C31) funded by MCIN/AEI/10.13039/501100011033 and European
Union NextGeneration EU/PRTR; also through NL4DISMIS: Natural Language Technologies for
dealing with dis- and misinformation (CIPROM/2021/021) and the grant CIBEST/2023/8, both
funded by the Generalitat Valenciana.
  
## Licensing

We release BASSE under a [CC BY-NC-SA 4.0 license](https://creativecommons.org/licenses/by-nc-sa/4.0/)

## Citation

**BibTeX:**

```
@misc{barnes2025summarizationmetricsspanishbasque,
      title={Summarization Metrics for {S}panish and {B}asque: Do Automatic Scores and {LLM}-Judges Correlate with Humans?}, 
      author={Jeremy Barnes and Naiara Perez and Alba Bonet-Jover and Begoña Altuna},
      year={2025},
      eprint={2503.17039},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2503.17039}, 
}
```

**APA:**

Barnes, J., Perez, N., Bonet-Jover, A., & Altuna, B. (2025). Summarization Metrics for Spanish and Basque: Do Automatic Scores and LLM-Judges Correlate with Humans?. _arXiv preprint arXiv:2503.17039_.