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| # MINT Benchmark | |
| This folder contains the evaluation harness for the [MINT benchmark](https://arxiv.org/abs/2309.10691) on LLMs' ability to solve tasks with multi-turn interactions. | |
| We support evaluation of the [Eurus subset focus on math and code reasoning](https://arxiv.org/abs/2404.02078), including MATH, MMLU, TheoremQA, HumanEval, MBPP. | |
| ## Setup Environment and LLM Configuration | |
| Please follow instruction [here](../../README.md#setup) to setup your local development environment and LLM. | |
| ## Start the evaluation | |
| We are using the MINT dataset hosted on [Hugging Face](https://huggingface.co/datasets/ryanhoangt/xingyaoww-mint-bench). | |
| Following is the basic command to start the evaluation. Currently, the only agent supported with MINT is `CodeActAgent`. | |
| ```bash | |
| ./evaluation/benchmarks/mint/scripts/run_infer.sh [model_config] [git-version] [subset] [eval_limit] | |
| ``` | |
| where `model_config` is mandatory, while others are optional. | |
| - `model_config`, e.g. `eval_gpt4_1106_preview`, is the config group name for your LLM settings, as defined in your `config.toml`. | |
| - `git-version`, e.g. `HEAD`, is the git commit hash of the OpenHands version you would | |
| like to evaluate. It could also be a release tag like `0.6.2`. | |
| - `subset`, e.g. `math`, is the subset of the MINT benchmark to evaluate on, defaulting to `math`. It can be either: `math`, `gsm8k`, `mmlu`, `theoremqa`, `mbpp`,`humaneval`. | |
| - `eval_limit`, e.g. `2`, limits the evaluation to the first `eval_limit` instances, defaulting to all instances. | |
| Note: in order to use `eval_limit`, you must also set `subset`. | |
| For example, | |
| ```bash | |
| ./evaluation/benchmarks/mint/scripts/run_infer.sh eval_gpt4_1106_preview 0.6.2 gsm8k 3 | |
| ``` | |
| ## Reference | |
| ``` | |
| @misc{wang2024mint, | |
| title={MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback}, | |
| author={Xingyao Wang and Zihan Wang and Jiateng Liu and Yangyi Chen and Lifan Yuan and Hao Peng and Heng Ji}, | |
| year={2024}, | |
| eprint={2309.10691}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |