# Task-name ### Paper Title: LLAMA Evals Abstract: Evals reproducing those provided by the LLAMA team in the Hugging Face repo. `Short description of paper / benchmark goes here:` Homepage: `https://huggingface.co/collections/meta-llama/llama-31-evals-66a2c5a14c2093e58298ac7f` Note: The tasks are formatted to be run with apply_chat_template and fewshot_as_multiturn. ### Citation ``` BibTeX-formatted citation goes here ``` ### Groups, Tags, and Tasks #### Groups * `group_name`: `Short description` #### Tags * `tag_name`: `Short description` #### Tasks * `mmlu_llama`: `generation variant of MMLU` * `mmlu_pro_llama`: `generation variant of MMLU-PRO` * `mmlu_cot_llama`: `Chain-of-thought variant of MMLU` * `mmlu_it_llama`: `Italian version of generation MMLU` * `mmlu_fr_llama`: `French version of generation MMLU` * `mmlu_pt_llama`: `Portuguese version of generation MMLU` * `mmlu_th_llama`: `Thai version of generation MMLU` * `mmlu_hi_llama`: `Hindi version of generation MMLU` * `mmlu_es_llama`: `Spanish version of generation MMLU` * `mmlu_de_llama`: `German version of generation MMLU` * `arc_chalenge_chat`: `generation variant of ARC-Challenge using MMLU format` * `arc_challenge_llama`: `generation variant of ARC-Challenge following Meta pre-processing` * `gsm8k_llama`: `Chain-of-though variant of GSM8k` **Notes regarding arc_challenge_llama:** - The original ARC-Challenge dataset contains 8 samples with less than 4 options. Meta filtered these samples out, and `arc_challenge_llama` does the same. - A small number of samples use 1, 2, 3, 4 as labels. These are replaced by A, B, C, D like the rest in the doc preprocessing. ### Checklist For adding novel benchmarks/datasets to the library: * [ ] Is the task an existing benchmark in the literature? * [ ] Have you referenced the original paper that introduced the task? * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test? If other tasks on this dataset are already supported: * [ ] Is the "Main" variant of this task clearly denoted? * [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates? * [ ] Have you noted which, if any, published evaluation setups are matched by this variant?