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---
language:
- eu
configs:
- config_name: euscrawl-v1.1
data_files:
- split: train
path: euscrawl-v1.1/train.jsonl.gz
- split: validation
path: euscrawl-v1.1/valid.jsonl.gz
- split: test
path: euscrawl-v1.1/test.jsonl.gz
- config_name: egunkaria
data_files:
- split: train
path: egunkaria/train.jsonl.gz
- split: validation
path: egunkaria/valid.jsonl.gz
- split: test
path: egunkaria/test.jsonl.gz
- config_name: booktegi
data_files:
- split: train
path: booktegi/train.jsonl.gz
- split: validation
path: booktegi/valid.jsonl.gz
- split: test
path: booktegi/test.jsonl.gz
- config_name: wikipedia
data_files:
- split: train
path: wikipedia/train.jsonl.gz
- split: validation
path: wikipedia/valid.jsonl.gz
- split: test
path: wikipedia/test.jsonl.gz
- config_name: culturax
data_files:
- split: train
path: CulturaX/train.jsonl.gz
- split: validation
path: CulturaX/valid.jsonl.gz
- split: test
path: CulturaX/test.jsonl.gz
- config_name: colossal-oscar
data_files:
- split: train
path: colossal-oscar/train.jsonl.gz
- split: validation
path: colossal-oscar/valid.jsonl.gz
- split: test
path: colossal-oscar/test.jsonl.gz
- config_name: hplt-v1
data_files:
- split: train
path: hplt-v1/train.jsonl.gz
- split: validation
path: hplt-v1/valid.jsonl.gz
- split: test
path: hplt-v1/test.jsonl.gz
task_categories:
- fill-mask
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
annotations_creators:
- no-annotation
multilinguality:
- monolingual
---
# Latxa Corpus v1.1
This is the training corpus of [Latxa v1.1](https://huggingface.co/collections/HiTZ/latxa-65a697e6838b3acc53677304), a family of large language models for Basque based on Llama 2.
- 💻 **Repository:** [https://github.com/hitz-zentroa/latxa](https://github.com/hitz-zentroa/latxa)
- 📒 **Blog Post**: [Latxa: An Open Language Model and Evaluation Suite for Basque](https://www.hitz.eus/en/node/340)
- 📖 **Paper:** [Latxa: An Open Language Model and Evaluation Suite for Basque](https://arxiv.org/abs/2403.20266)
- 📧 **Point of Contact:** [email protected]
## Dataset Summary
- **Curated by:** HiTZ Research Center & IXA Research group (University of the Basque Country UPV/EHU)
- **Language(s):** eu-ES
Latxa's training corpus combines various existing datasets, as well as some new ones that we hereby release.
The raw document mix has been deduplicated and processed; here you'll find the final version of the corpus.
Our data sources are introduced briefly below.
For more details, consult our [paper](https://arxiv.org/abs/2403.20266).
- **Euscrawl v1.1 <sup color="red">[new]</sup>**: An updated version of [EusCrawl v1](https://www.ixa.eus/euscrawl/) ([Artetxe et al., 2022](https://doi.org/10.18653/v1/2022.emnlp-main.499)), including new content up to November 2023.
- **Egunkaria <sup color="red">[new]</sup>**: Content from the Egunkaria daily newspaper.
- **Booktegi <sup color="red">[new]</sup>**: Content from [https://www.booktegi.eus/](https://www.booktegi.eus/) EPUB books.
- **Wikipedia**: Basque Wikipedia's [dump](https://dumps.wikimedia.org/) from November 2023.
- **CulturaX**: The Basque portion of the [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX) corpus ([Nguyen et al., 2023](https://arxiv.org/abs/2309.09400)).
- **Colossal OSCAR**: The Basque portion of several [Colossal OSCAR](https://huggingface.co/datasets/oscar-corpus/colossal-oscar-1.0) releases.
- **HPLT v1**: The Basque portion of the [HPLT v1](https://hplt-project.org/datasets/v1) corpus ([Aulamo et al., 2023](https://aclanthology.org/2023.eamt-1.61)).
For detailed information regarding the licenses associated with each individual corpus comprising this training dataset, please refer to the respective references listed alongside each corpus entry.
## Statistics
The size of each dataset in terms of number of documents can be found below:
| | Train | Valid | Test |
|----------------|----------:|-------:|-------:|
| CulturaX | 1,283,429 | 13,096 | 13,098 |
| EusCrawl v1.1 | 1,758,084 | 17,861 | 17,736 |
| HPLT v1 | 367,238 | 3,797 | 3,699 |
| Colossal OSCAR | 233,753 | 2,483 | 2,276 |
| Wikipedia | 400,902 | 4,063 | 4,092 |
| Egunkaria | 172,876 | 1,766 | 1,764 |
| Booktegi | 161 | 4 | 1 |
## Citation
To cite our work, please use:
```bibtex
@misc{etxaniz2024latxa,
title={{L}atxa: An Open Language Model and Evaluation Suite for {B}asque},
author={Julen Etxaniz and Oscar Sainz and Naiara Perez and Itziar Aldabe and German Rigau and Eneko Agirre and Aitor Ormazabal and Mikel Artetxe and Aitor Soroa},
year={2024},
eprint={2403.20266},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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