Datasets:
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README.md
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license: apache-2.0
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language:
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- sr
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license: apache-2.0
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language:
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- sr
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task_categories:
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- question-answering
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---
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## OZ Eval
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OZ Eval (_sr._ Opšte Znanje Evaluacija) dataset was created for the purposes of evaluating General Knowledge of LLM models in Serbian language.
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Data consists of 1k+ high-quality questions and answers which were used as part of entry exams at the Faculty of Philosophy and Faculty of Organizational Sciences, University of Belgrade.
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The exams test the General Knowledge of students and were used in the enrollment periods from 2003 to 2024.
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## Evaluation process
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Models are evaluated by the following principle using HuggingFace's library lighteval. We supply the model with the following template:
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```
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Pitanje: {question}
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Ponuđeni odgovori:
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A. {option_a}
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B. {option_b}
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C. {option_c}
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D. {option_d}
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E. {option_e}
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Krajnji odgovor:
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```
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We then compare likelihoods of each letter (`A, B, C, D, E`) and calculate the final accuracy. All evaluations are ran in a 0-shot manner using a chat template.
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Exact code for the task will be posted [here]().
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## Evaluation results
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| Model |Accuracy| |Stderr|
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|-------|-------:|--|-----:|
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|[Tito-7B-slerp](https://huggingface.co/Stopwolf/Tito-7B-slerp)|0.7099|±|0.0101|
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[Qwen2-7B-instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct)|0.673|±|0.0105|
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|[Yugo60-GPT](https://huggingface.co/datatab/Yugo60-GPT)|0.6411|±|0.0107|
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|[Llama3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)|0.5274|±|0.0111|
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|[Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)|0.5145|±|0.0112|
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|[Perucac-7B-slerp](https://huggingface.co/Stopwolf/Perucac-7B-slerp)|0.4247|±|0.011|
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|[SambaLingo-Serbian-Chat](https://huggingface.co/sambanovasystems/SambaLingo-Serbian-Chat)|0.2802|±|0.01|
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|[Gemma-2-9B-it](https://huggingface.co/google/gemma-2-9b-it)|0.2193|±|0.0092|
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### Citation
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```
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@article{oz-eval,
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author = "Stanivuk Siniša & Đorđević Milena",
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title = "Opšte znanje LLM Eval",
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year = "2024"
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howpublished = {\url{https://huggingface.co/datasets/DjMel/oz-eval}},
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}
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```
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