metadata

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, a family of large language models for Basque based on Llama 2.

💻 Repository: https://github.com/hitz-zentroa/latxa
📒 Blog Post: Latxa: An Open Language Model and Evaluation Suite for Basque
📖 Paper: Latxa: An Open Language Model and Evaluation Suite for Basque
📧 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.

Euscrawl v1.1 ^[new]: An updated version of EusCrawl v1 (Artetxe et al., 2022), including new content up to November 2023.
Egunkaria ^[new]: Content from the Egunkaria daily newspaper.
Booktegi ^[new]: Content from https://www.booktegi.eus/ EPUB books.
Wikipedia: Basque Wikipedia's dump from November 2023.
CulturaX: The Basque portion of the CulturaX corpus (Nguyen et al., 2023).
Colossal OSCAR: The Basque portion of several Colossal OSCAR releases.
HPLT v1: The Basque portion of the HPLT v1 corpus (Aulamo et al., 2023).

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:

@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}
}