task_categories:
- text-generation
language:
- es
size_categories:
- 10K<n<100K
license: cc-by-4.0
📘 ALIA_INTELLECTUAL_PROPERTY Dataset
The ALIA_INTELLECTUAL_PROPERTY dataset is a multilingual resource designed for text generation tasks within the intellectual property (IP) domain, including topics such as copyrights, patents, trademarks, and related legal and institutional information.
The dataset consists of textual documents formatted in Markdown (.md), each provided as structured JSONL entries.
Each entry includes information about the text's source, language, format, text, and metadata.
🧾 Column Descriptions
| Field | Type | Description |
|---|---|---|
format |
string | Indicates the text format. All entries use "md" (Markdown). |
source |
string | Source of the document (institution, website, or project). |
language |
string | Language of the content: "es" (Spanish). |
text |
string | The main textual content in Markdown format. |
metadata |
object | Supplementary information. |
🌍 Dataset Composition
- Languages: Spanish (es)
- Domain: Intellectual Property (copyright, patents, trademarks, and related legal frameworks)
- Format: JSON Lines (
.jsonl)
Each item represents a standalone intellectual-property-related text.
🔎 Sources
eurlex-es-md.jsonl: Filtered content from EUR-Lex (Spanish) using the keyword "intellectual property".
⚠️ Notes
- The dataset is automatically curated from intellectual property–related sources.
- Metadata coverage may vary by entry.
- 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.
📚 Reference
Please cite this dataset using the following BibTeX format:
@misc{alia2025intellectualproperty,
author = {Espinosa Zaragoza, Sergio and Maestre, Mar{'\i}a Mir{'o} and Mu{~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
title = {ALIA_INTELLECTUAL_PROPERTY 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_intellectual_property}}](https://huggingface.co/datasets/gplsi/alia_intellectual_property}})
}
⚠️ 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) licence.