| dc.contributor.author | Plesnik, Emil |
| dc.contributor.author | Tovornik, Robert |
| dc.contributor.author | Fabjan, Borut |
| dc.contributor.author | Korošec, Filip |
| dc.contributor.author | Žabkar, Ines |
| dc.contributor.author | Kuzman, Ema |
| dc.contributor.author | Rigler, Martin |
| dc.contributor.author | Škufca, Lara |
| dc.date.accessioned | 2026-02-16T16:03:19Z |
| dc.date.available | 2026-02-16T16:03:19Z |
| dc.date.issued | 2026-02-03 |
| dc.identifier.uri | http://hdl.handle.net/11356/2085 |
| dc.description | GaMS-Instruct-MED-Anatomy is an instruction-following dataset containing 711,805 prompt-response units in Slovene (with English and Latin terminology). The units form a structured, machine-readable database of Slovenian anatomical terminology for training language models. The collection is based on anatomical data collected, translated and validated by medical experts. The data was processed, structured and enriched with automatic scripts and explanations generated using large language models. It includes: • Anatomical terminology in Slovene, English and Latin • SNOMED CT classification (standardized medical coding system) • Classification by body systems • Synonyms and alternative terms (original and generated) • Popular explanations of anatomical structures for the general public • Expert explanations of anatomical structures for medical experts The result is a standardized database in an instructional format that is suitable for use in computational linguistics, natural language processing (NLP), medical informatics and for training and adapting large language models. The corpus is intended for research and development of fine-tuning language models, training and adapting large language models for the medical and anatomical domains, development of medical chatbots and assistants in Slovene, support for healthcare professionals in anatomical terminology, translation of medical documentation, standardization of medical terminology in Slovene, and education in the field of anatomy. For more details on the structure of the dataset, please consult 00README.txt. |
| dc.language.iso | slv |
| dc.publisher | Better, d.o.o. |
| dc.publisher | Faculty of Computer and Information Science, University of Ljubljana |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.label | PUB |
| dc.source.uri | https://www.cjvt.si/povejmo/ |
| dc.subject | instruction following dataset |
| dc.subject | medical texts |
| dc.subject | large language models |
| dc.subject | anatomy |
| dc.title | Slovene instruction-following dataset for large language models GaMS-Instruct-MED-Anatomy 1.0 |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Borut Fabjan info@better.care Better, d.o.o. |
| sponsor | ARIS (Slovenian Research and Innovation Agency) NOO PoVeJMo research project (Adaptive Natural Language Processing with Large Language Models) nationalFunds |
| sponsor | ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds |
| size.info | 711805 units |
| files.count | 1 |
| files.size | 30409379 |
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- Name
- GaMS-Instruct-MED-Anatomy_1.0.zip
- Size
- 29 MB
- Format
- application/zip
- Description
- JSON + JSONL
- MD5
- 46b8b74cfdbe967852d3bf233cdafd76
- GaMS-Instruct-MED-Anatomy_1.0
- GaMS-Instruct-MED-Anatomy_1.0_documentation.md20 kB
- GaMS-Instruct-MED-Anatomy_1.0_documentation.pdf243 kB
- GaMS-Instruct-MED-Anatomy_1.0_statistics.json3 kB
- GaMS-Instruct-MED-Anatomy_1.0_documentation.docx48 kB
- GaMS-Instruct-MED-Anatomy_1.0.jsonl340 MB
- GaMS-Instruct-MED-Anatomy_1.0.json380 MB
- 00README.txt15 kB