README.md

---
task_categories:
- text-generation
language:
- es
- va
size_categories:
- 10K<n<100K
license: cc-by-4.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: format
    dtype: string
  - name: language
    dtype: string
  - name: text
    dtype: string
  - name: metadata
    struct:
    - name: path
      dtype: string
    - name: spans
      list:
      - name: start
        dtype: int64
      - name: end
        dtype: int64
      - name: label
        dtype: string
      - name: rank
        dtype: int64
  splits:
  - name: train
    num_bytes: 280147579
    num_examples: 17417
  download_size: 106475104
  dataset_size: 280147579
---
# 📘 ALIA_BOUA Dataset

The **ALIA_BOUA** dataset is a multilingual resource designed for **text generation**.

The dataset consists of textual documents formatted in **Markdown (`.md`)**, each provided as structured JSONL entries.
Each entry includes information about the text's **language**, **format**, **text**, and **metadata**.

## 🧾 Column Descriptions

| Field | Type | Description |
|-------|------|-------------|
| `format` | string | Indicates the text format. All entries use `"md"` (Markdown). |
| `language` | string | Language of the content: `"va"` (Valencian) or `"es"` (Spanish) |
| `text` | string | The main textual content in Markdown format. |
| `metadata` | object | Supplementary information. |

## 🌍 Dataset Composition

- **Languages:** Spanish (es) and Valencian (va)
- **Format:** JSON Lines (`.jsonl`)  

## ⚠️ Notes

* The dataset is automatically curated and **automatically anonymized** using the [**AnonymizationPipeline**](https://github.com/gplsi/AnonymizationPipeline).
* The `metadata` field includes a key named **`spans`**, which contains information about the anonymized text segments, including their **`start`**, **`end`**, **`label`**, and **`rank`**.
* Content may include Markdown formatting for structure (e.g., headers, lists, emphasis).

## 💰 Funding

This work is funded by the **Ministerio para la Transformación Digital y de la Función Pública**, co-financed by the **EU – NextGenerationEU**, within the framework of the project *Desarrollo de Modelos ALIA*.

<!-- ## 🙏 Acknowledgments

We would like to express our gratitude to all individuals and institutions that have contributed to the development of this work.

Special thanks to:

- [Data providers]
- [Technological support providers]

We also acknowledge the financial, technical, and scientific support of 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. -->

## 📚 Reference

Please cite this dataset using the following BibTeX format:

```

@misc{alia2025boua,
author       = {Espinosa Zaragoza, Sergio and Sep{\'u}lveda Torres, Robiert and Mu{\~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
title        = {ALIA_BOUA Dataset},
year         = {2025},
institution  = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)},
howpublished = {\url{[https://huggingface.co/datasets/gplsi/alia_boua}}](https://huggingface.co/datasets/gplsi/alia_boua}})
}

```

## ⚠️ Disclaimer

Be aware that the data may contain biases or other unintended distortions. When third parties deploy systems or provide services based on this data, or use the data themselves, they bear the responsibility for mitigating any associated risks and ensuring compliance with applicable regulations, including those governing the use of Artificial Intelligence.
The University of Alicante, as the owner and creator of the dataset, shall not be held liable for any outcomes resulting from third-party use.

## 📜 License

This work is licensed under a [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) licence.