---
license: cc-by-nc-4.0
language:
- eu
- es
pretty_name: EuskañolDS
size_categories:
- 10K<n<100K
dataset_info:
- config_name: gold
  features:
  - name: text
    dtype: string
- config_name: silver
  features:
  - name: text
    dtype: string
configs:
- config_name: silver
  data_files:
  - split: train
    path: silver.tsv
- config_name: gold
  data_files:
  - split: test
    path: gold.tsv
---
# Dataset Card for EuskañolDS

<!-- Provide a quick summary of the dataset. -->

EuskañolDS is a naturally sourced corpus for Basque-Spanish code-switching, created by filtering publicly available corpora in Basque and Spanish. 

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
Code-switching (CS) remains a significant challenge in Natural Language Processing (NLP), mainly due a lack of relevant data. In the context of the contact between the Basque and Spanish languages in the north of the Iberian Peninsula, CS frequently occurs in both formal and informal spontaneous interactions. 
However, resources to analyse this phenomenon and support the development and evaluation of models capable of understanding and generating code-switched language for this language pair are almost non-existent. We introduce a first approach to develop a naturally sourced corpus for Basque-Spanish code-switching. Our methodology consists of identifying CS texts from previously available corpora using language identification models, which are then manually validated to obtain a reliable subset of CS instances.

- **Language(s) (NLP):** Basque (eu), Spanish (es)
- **License:** EuskañolDS is distributed under the same licenses as the corpora it is derived from.

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

| Name                                                                            | Size(Tokens) | Source                                    | Topics                               |
|---------------------------------------------------------------------------------|-------------:|-------------------------------------------|--------------------------------------|
| [BasqueParl](https://github.com/ixa-ehu/basqueparl)                             |          14M | Parliamentary transcriptions              | Political discourse                  |
| [Heldugazte](https://github.com/ixa-ehu/heldugazte-corpus)                      |          37M | Twitter                                   | News, sport, music, nationalist left |
| [Covid-19](https://github.com/joseba-fdl/basque_twitter_covid19_corpus)         |          57M | Twitter (September 2019 to February 2021) | Covid-19, political issues           |


### Links

- **Repository:** [Link to the GitHub Repository](https://github.com/hitz-zentroa/euskanolDS/)
- **Paper:** [Link to the Paper](https://aclanthology.org/2025.calcs-1.1)




<!--## Uses -->

## Dataset Structure
The dataset has two subsets:
- **Silver**: automatically filtered.
- **Gold**: manually validated.


### Splits


| Split  |  Tokens | Instances | Avg. Length |
|--------|--------:|----------:|------------:|
| Silver | 537,648 |    20,008 |       26.87 |
| Gold   |  36,860 |       927 |       39.76 |


<!-- ### Dataset Fields -->

### Dataset Instances

Examples from the dataset:

|       Source       |                                                                                         Instance                                                                                        |                                                          Translation                                                          |    Type of CS    |
|:------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------:|:----------------:|
|     HelduGazte     |                                    bihar zazpi terditan gora y yo me muerooooooo                                    |                                   tomorrow up at seven thirty and i'm going to die                                   | Intra-sentential |
| BasqueParl | Por lo tanto, no tengo nada más que añadir. Eta eskerrik asko denoi akordio batera heldu garelako. | Therefore, I don't have anything else to add. And thank you everyone for having reached an agreement. | Inter-sentential |
|      Covid-19      |                                Katxis!Veo a la tropa baja... Eutsi goiari!                              |                                     Heck! I see the spirits are low... Cheer up!                                     |    Emblematic    |




<!-- ## Bias, Risks, and Limitations -->

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

<!--## Citation 

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section.
RELLENAR-->

**BibTeX:**
```
@inproceedings{heredia-etal-2025-euskanolds,
    title = "{E}uska{\~n}ol{DS}: A Naturally Sourced Corpus for {B}asque-{S}panish Code-Switching",
    author = "Heredia, Maite  and
      Barnes, Jeremy  and
      Soroa, Aitor",
    editor = "Winata, Genta Indra  and
      Kar, Sudipta  and
      Zhukova, Marina  and
      Solorio, Thamar  and
      Ai, Xi  and
      Hamed, Injy  and
      Ihsani, Mahardika Krisna Krisna  and
      Wijaya, Derry Tanti  and
      Kuwanto, Garry",
      booktitle = "Proceedings of the 7th Workshop on Computational Approaches to Linguistic Code-Switching",
      month = may,
      year = "2025",
      address = "Albuquerque, New Mexico, USA",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/2025.calcs-1.1/",
      pages = "1--5",
      ISBN = "979-8-89176-053-0"
}
```

**APA:**

Heredia, M., Barnes, J., & Soroa, A. (2025). EuskañolDS: A Naturally Sourced Corpus for Basque-Spanish Code-Switching. In Proceedings of the 7th Workshop on Computational Approaches to Linguistic Code-Switching (pp. 1–5). Association for Computational Linguistics.

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