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--- |
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language: |
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- sr |
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license: apache-2.0 |
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task_categories: |
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- question-answering |
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dataset_info: |
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features: |
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- name: index |
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dtype: int64 |
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- name: questions |
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dtype: string |
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- name: options |
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sequence: string |
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- name: answer |
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dtype: string |
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- name: answer_index |
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dtype: int64 |
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splits: |
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- name: test |
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num_bytes: 200846 |
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num_examples: 1003 |
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download_size: 139630 |
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dataset_size: 200846 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/oz-eval-* |
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--- |
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# OZ Eval |
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 |
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## Dataset Description |
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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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This is a joint work with [@Stopwolf](https://huggingface.co/Stopwolf)! |
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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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GPT-like models were evaluated by taking top 20 probabilities of the first output token, which were further filtered for letters `A` to `E`. Letter with the highest probability was taken as a final answer. |
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Exact code for the task can be found [here](https://github.com/Stopwolf/lighteval/blob/oz-eval/community_tasks/oz_evals.py). |
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You should run the evaluation with the following command (do not forget to add --use_chat_template): |
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``` |
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accelerate launch lighteval/run_evals_accelerate.py \ |
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--model_args "pretrained={MODEL_NAME},trust_remote_code=True" \ |
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--use_chat_template \ |
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--tasks "community|serbian_evals:oz_task|0|0" \ |
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--custom_tasks "/content/lighteval/community_tasks/oz_evals.py" \ |
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--output_dir "./evals" \ |
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--override_batch_size 32 |
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``` |
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## Evaluation results |
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| Model |Size|Accuracy| |Stderr| |
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|-------|---:|-------:|--|-----:| |
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|GPT-4-0125-preview|_???_|0.9199|±|0.002| |
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|GPT-4o-2024-05-13|_???_|0.9196|±|0.0017| |
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|[Qwen2-72B-Instruct \[4bit\]](https://huggingface.co/unsloth/Qwen2-72B-Instruct-bnb-4bit)|72B|0.8425|±|0.0115| |
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|GPT-3.5-turbo-0125|_???_|0.8245|±|0.0016| |
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|[Llama3.1-70B-Instruct \[4bit\]](https://huggingface.co/unsloth/Meta-Llama-3.1-70B-bnb-4bit)|70B|0.8185|±|0.0122| |
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|GPT-4o-mini-2024-07-18|_???_|0.7971|±|0.0005| |
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|[Mustra-7B-Instruct-v0.2](https://huggingface.co/Stopwolf/Mustra-7B-Instruct-v0.2)|7B|0.7388|±|0.0098| |
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|[Tito-7B-slerp](https://huggingface.co/Stopwolf/Tito-7B-slerp)|7B|0.7099|±|0.0101| |
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|[Yugo55A-GPT](https://huggingface.co/datatab/Yugo55A-GPT)|7B|0.6889|±|0.0103| |
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|[Zamfir-7B-slerp](https://huggingface.co/Stopwolf/Zamfir-7B-slerp)|7B|0.6849|±|0.0104| |
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|[Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)|12.2B|0.6839|±|0.0104| |
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|[Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)|8B|0.679|±|0.0147| |
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|[Qwen2-7B-instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct)|7B|0.673|±|0.0105| |
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|[SauerkrautLM-Nemo-12b-Instruct](https://huggingface.co/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct)|12B|0.663|±|0.0106| |
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|[Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)|8B|0.661|±|0.0106| |
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|[Yugo60-GPT](https://huggingface.co/datatab/Yugo60-GPT)|7B|0.6411|±|0.0107| |
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|[Mistral-Small-Instruct-2409 \[4bit\]](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409)|22.2B|0.6361|±|0.0152| |
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|[DeepSeek-V2-Lite-Chat](https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite-Chat)|15.7B|0.6047|±|0.0109| |
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|[Llama3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)|8B|0.5972|±|0.0155| |
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|[Llama3-70B-Instruct \[4bit\]](https://huggingface.co/unsloth/llama-3-70b-Instruct-bnb-4bit)|70B|0.5942|±|0.011| |
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|[Hermes-3-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)|8B|0.5932|±|0.0155| |
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|[Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)|8B|0.5852|±|0.011| |
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|[Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)|7B|0.5753|±| 0.011| |
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|[openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522)|8B|0.5513|±|0.0111| |
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|[Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat)|7B|0.5374|±|0.0158| |
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|[Llama3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)|8B|0.5274|±|0.0111| |
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|[Starling-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)|7B|0.5244|±|0.0112| |
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|[Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)|7B|0.5145|±|0.0112| |
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|[Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct)|1.5B|0.4506|±|0.0111| |
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|[falcon-11B](https://huggingface.co/tiiuae/falcon-11B)|11B|0.4477|±|0.0111| |
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|[falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct)|7B|0.4257|±| 0.011| |
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|[Perucac-7B-slerp](https://huggingface.co/Stopwolf/Perucac-7B-slerp)|7B|0.4247|±|0.011| |
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|[Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)|1.5B|0.3759|±|0.0153| |
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|[Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)|3.8B|0.3719|±|0.0108| |
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|[SambaLingo-Serbian-Chat](https://huggingface.co/sambanovasystems/SambaLingo-Serbian-Chat)|7B|0.2802|±|0.01| |
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|[Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)|7B|0.2423|±|0.0135| |
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|[Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)|0.5B|0.2313|±|0.0133| |
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|[Gemma-2-9B-it](https://huggingface.co/google/gemma-2-9b-it)|9B|0.2193|±|0.0092| |
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|[Gemma-2-2B-it](https://huggingface.co/google/gemma-2-2b-it)|2.6B|0.1715|±|0.0084| |
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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 = "OZ Eval: Measuring General Knowledge Skill at University Level of LLMs in Serbian Language", |
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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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``` |
