---
license: cc-by-sa-4.0
configs:
- config_name: berria_eu_en_es
  data_files:
  - split: train
    path: berria_eu_en_es/train-*
- config_name: bopv_eu_en_es
  data_files:
  - split: train
    path: bopv_eu_en_es/train-*
- config_name: parliament_eu_en_es
  data_files:
  - split: train
    path: parliament_eu_en_es/train-*
dataset_info:
- config_name: berria_eu_en_es
  features:
  - name: id
    dtype: string
  - name: doc_eu
    dtype: string
  - name: doc_en
    dtype: string
  - name: doc_es
    dtype: string
  - name: sonar_en_score
    dtype: float64
  - name: sonar_es_score
    dtype: float64
  splits:
  - name: train
    num_bytes: 520535428
    num_examples: 337650
  download_size: 315528775
  dataset_size: 520535428
- config_name: bopv_eu_en_es
  features:
  - name: titulo
    dtype: string
  - name: normative_range
    dtype: string
  - name: estado
    dtype: string
  - name: ambito
    dtype: string
  - name: numBulletin
    dtype: string
  - name: numOrder
    dtype: string
  - name: numDisposal
    dtype: string
  - name: fechaPublicacion
    dtype: timestamp[s]
  - name: fechaDisposicion
    dtype: timestamp[s]
  - name: organismo
    dtype: string
  - name: departamento
    dtype: string
  - name: seccion
    dtype: string
  - name: temas
    dtype: string
  - name: url
    dtype: string
  - name: eu_unique_id
    dtype: string
  - name: es_unique_id
    dtype: string
  - name: eu_text
    dtype: string
  - name: es_text
    dtype: string
  - name: eu_word_count
    dtype: int64
  - name: translation
    dtype: string
  splits:
  - name: train
    num_bytes: 181230228
    num_examples: 27130
  download_size: 69799972
  dataset_size: 181230228
- config_name: parliament_eu_en_es
  features:
  - name: legislatura
    dtype: string
  - name: fecha
    dtype: string
  - name: speaker
    dtype: string
  - name: party
    dtype: string
  - name: topic
    dtype: string
  - name: language
    dtype: string
  - name: url
    dtype: string
  - name: eu_unique_id
    dtype: string
  - name: es_unique_id
    dtype: string
  - name: eu_text
    dtype: string
  - name: es_text
    dtype: string
  - name: eu_word_count
    dtype: int64
  - name: translation
    dtype: string
  splits:
  - name: train
    num_bytes: 123493419
    num_examples: 20385
  download_size: 64484331
  dataset_size: 123493419
task_categories:
- translation
language:
- eu
- en
- es
size_categories:
- 100K<n<1M
---

# ALIA Synthetic MT

**ALIA Synthetic MT V2** is a parallel corpus derived from [*Berria*](https://www.berria.eus/) news articles and legal/administrative domains BOPV and Parlamento, comprising content published in 2025 as well as archived material from 2023. 
The dataset provides synthetic translations into English and Spanish, generated using two distinct Large Language Models: **[Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B)** and **[LatxaQ](https://huggingface.co/HiTZ/Latxa-Qwen3.5-27B)**.

## Model Details

This dataset utilizes the following models for translation generation:

1.  **Qwen3.5-27B**: A state-of-the-art multilingual large language model utilized for the legal domain.
2.  **LatxaQ-VL**: A domain-adapted iteration of Qwen3-32B utilized for news domain.

**LatxaQ** serves as a robust alternative to the standard Latxa model. It preserves the inherent Basque linguistic and cultural capabilities characteristic of the Latxa family while leveraging the advanced multilingual foundation of the Qwen architecture.


## Dataset Structure

The dataset is formatted as a JSONL file. Each entry contains the following fields:


**Berria**

Paragraphs belonging to the same article are linked in order using sequential IDs (e.g., berria.202509-0-9363_0, berria.202509-0-9363_1), making it easy to reconstruct consecutive paragraphs whenever available. All translations in the dataset are aligned with a minimum similarity score of 0.75. We kept the exact score in the data so you can apply stricter filters if you want. 
Finally, if you see a null value in the doc_es field, it means the Spanish translation for that specific segment failed our quality checks and was removed.

- `id`: Unique identifier for the document.
- `doc_eu`: Original source text in Basque (*Euskera*).
- `doc_en`: Synthetic English translation.
- `doc_es`: Synthetic Spanish translation.
- `sonar_en_sore`: Sonar similarity score between the Basque and the English text.
- `sonar_es_sore`: Sonar similarity score between the Basque and the Spanish text.

**BOVP and Parliament**
There are multiple metadata columns, the most important for MT task.
- `eu_unique_id`: Unique identifier for the basque document.
- `es_unique_id`: Unique identifier for the Spanish document.
- `eu_text`: Original source text in Basque (*Euskera*).
- `es_text`: Original source text in Spanish. 
- `translation`: Synthetic English translation.


## Statistics
**Berria**
* **Total Documents in EU-ES:** 337,650
* **Total Documents in EU-ES-EN:** 193,337
* **Source:** Berria (2023–2025)

**BOPV**
* **Total Documents:** 27,130
* **Source:** Boletín Oficial del País Vasco(2023–2025)

**Parlamento**
* **Total Documents:** 20,385
* **Source:** Parlamento(2023–2025)


##  Intended Use
This dataset is intended for:
* Training and evaluation of machine translation models
* Synthetic data experiments
* Multilingual NLP research
Note: Since the translations are synthetic, they might contain model-specific artifacts, so results from training or evaluation should be interpreted with that in mind.

##  License

This data is released under Creative Commons CC-BY-SA license following the license of the original Berria, BOPV and Parliament data. 
Synthetic translations inherit the same usage restrictions as the source data.

##  Contact
For questions or issues, please contact the ALIA / HiTZ team or open an issue on the Hugging Face dataset repository.

##  Citation
If you use this dataset in your work, please cite the ALIA project and the corresponding translation models used.

## Funding
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA.