2026-05-22T06:23:08Zhttp://www.clarin.si/repository/oai/request

oai:www.clarin.si:11356/19712024-10-01T08:54:13Zhdl_11356_1023hdl_11356_1024

Slovene instruction-following dataset for large language models GaMS-Instruct-GEN 1.0 Vreš, Domen Arčon, Tjaša Čibej, Jaka Robnik-Šikonja, Marko Krek, Simon Gabrovšek, Dejan Ježovnik, Janoš Kastelic, Maja Krvina, Domen Ledinek, Nina Michelizza, Mija Perdih, Andrej Petric Žižić, Špela Trojar, Mitja large language models instruction following dataset GaMS-Instruct-GEN is an instruction-following dataset designed to fine-tune Slovene large language models to follow instructions. It consists of pairs of prompts and responses, some of which contain an additional input field. The dataset was generated automatically using GPT-4 by using 225 manually compiled seed prompts from SelfInstruct (Wang et al. 2022), an instruction-following dataset for English (https://huggingface.co/datasets/yizhongw/self_instruct). The seed prompts were manually translated into Slovene (see "seed_tasks_sl.jsonl") and used as part of a prompt to generate additional similar examples (see 00README.txt for more details). The automatically generated examples were manually validated by 9 annotators (linguists). Version 1.0 contains only prompt-response pairs that are adequately formatted and free of LLM-hallucinations. Most of the prompt-response pairs deal with general topics (e.g. essay writing, event organization, text corrections, creative tasks), while some deal with Slovene-specific topics (e.g. planning trips around Slovenia, prompts referring to Slovene literature or culture). 2024-09-25 corpus http://hdl.handle.net/11356/1971 slv Creative Commons - Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ PUB text/plain; charset=utf-8 application/zip downloadable_files_count: 1 Faculty of Computer and Information Science, University of Ljubljana https://www.cjvt.si/povejmo/en/project/