mradermacher/Aitana-7B-S-base-1.0-i1-GGUF
Text Generation • 8B • Updated • 6.74k
Datasets:
format stringclasses 1
value | language stringclasses 1
value | text stringlengths 0 639k | metadata dict |
|---|---|---|---|
md | va|es | Sector%20Ramader%986642.03.24%20macro.html
Comissió especial d'estudi sobre la situació del sector ramader i els seus productes, la viabilitat dels escorxadors públics existents i les polítiques públiques i de finançament d'aquests realitzada el dia 24 de març de 2017.
Comença la reunió a les 10 hores i 36 minuts.... | {
"path": "2023-07/crawler_dsccv_html/DSCCV_e000001748.jsonl",
"spans": [
{
"start": 17,
"end": 23,
"label": "TELEPHONE",
"rank": 3
},
{
"start": 12612,
"end": 12620,
"label": "VEHICLE",
"rank": 5
}
]
} |
md | va|es | "Untitled Document\n\n\n<!--\nbody {\ncolor:#272526;\n}\n.text15 {\nfont-family:'Times New Roman','T(...TRUNCATED) | {
"path": "2023-07/crawler_dsccv_html/DSCCV_e000000832.jsonl",
"spans": []
} |
md | va|es | "Untitled Document\n\n<!--\nbody {\ncolor:black;\n}\n.text6 {\nfont-family:'Times New Roman','Times'(...TRUNCATED) | {
"path": "2023-07/crawler_dsccv_html/DSCCV_e000001445.jsonl",
"spans": []
} |
md | va|es | "Obres%20P%C3%BAbliques%711729.11.21%20macro.html\n\n\n\n\n\nComissió d'Obres Públiques i Transpor(...TRUNCATED) | {"path":"2023-07/crawler_dsccv_html/DSCCV_e000002366.jsonl","spans":[{"start":23,"end":29,"label":"T(...TRUNCATED) |
md | va|es | "Resid%C3%A8ncies%240160.06.26%20macro.html\n\n\n\n\n\nComissió d'investigació per a l'estudi del (...TRUNCATED) | {"path":"2023-07/crawler_dsccv_html/DSCCV_e000001769.jsonl","spans":[{"start":17,"end":23,"label":"T(...TRUNCATED) |
md | va|es | "Agricultura%2020201006HTML.html\n\n\n\n\n\nComissió d'Agricultura, Ramaderia i Pesca realitzada el(...TRUNCATED) | {
"path": "2023-07/crawler_dsccv_html/DSCCV_e000001936.jsonl",
"spans": []
} |
md | va|es | "Untitled Document\n\n<!--\nbody {\ncolor:black;\n}\n.text6 {\nfont-family:'Times New Roman','Times'(...TRUNCATED) | {"path":"2023-07/crawler_dsccv_html/DSCCV_e000002178.jsonl","spans":[{"start":6681,"end":6688,"label(...TRUNCATED) |
md | va|es | "Pol%C3%ADtiques%20Igualtat%272915.01.17%20macro.html\n\n\n\n\n\nComissió de Polítiques d'Igualtat(...TRUNCATED) | {"path":"2023-07/crawler_dsccv_html/DSCCV_e000000130.jsonl","spans":[{"start":27,"end":33,"label":"T(...TRUNCATED) |
md | va|es | "Rendiment%20escolar%545476.04.26%20macro.html\n\n\n\n\n\nComissió no permanent especial d'estudi d(...TRUNCATED) | {"path":"2023-07/crawler_dsccv_html/DSCCV_e000002257.jsonl","spans":[{"start":20,"end":26,"label":"T(...TRUNCATED) |
md | va|es | "Obres%20P%C3%BAbliques%757102.02.23%20macro.html\n\n\n\n\n\nComissió d'Obres Públiques, Infraestr(...TRUNCATED) | {"path":"2023-07/crawler_dsccv_html/DSCCV_e000001667.jsonl","spans":[{"start":23,"end":29,"label":"T(...TRUNCATED) |
End of preview. Expand in Data Studio
📘 ALIA_LES_CORTS Dataset
The ALIA_LES_CORTS 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. All entries use "va|es" (Valencian and/or 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.
- The
metadatafield includes a key namedspans, which contains information about the anonymized text segments, including theirstart,end,label, andrank. - 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{alia2025lescorts,
author = {Espinosa Zaragoza, Sergio and Sep{'u}lveda Torres, Robiert and Mu{~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
title = {ALIA_LES_CORTS 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_les_corts}}](https://huggingface.co/datasets/gplsi/alia_les_corts}})
}
⚠️ 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.
- Downloads last month
- 7