update README.md

README.md

@@ -59,17 +59,55 @@ configs:
   data_files: arenahard_hu.jsonl
 - config_name: sr
   data_files: arenahard_sr.jsonl
+tags:
+- multilingual
+- instruction-following
 ---
 ## Dataset Sources
 
 - **Paper**: BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
-- **Link**: https://arxiv.org/pdf/2502.07346
+- **Link**: https://huggingface.co/papers/2502.07346
 - **Repository**: https://github.com/CONE-MT/BenchMAX
 
 ## Dataset Description
-BenchMAX_Model-based is a dataset of BenchMAX, sourcing from [m-ArenaHard](https://huggingface.co/datasets/CohereForAI/m-ArenaHard).
+BenchMAX_Model-based is a dataset of BenchMAX, sourcing from [m-ArenaHard](https://huggingface.co/datasets/CohereForAI/m-ArenaHard), which evaluates the instruction following capability via model-based judgment.
+
+We extend the original dataset to languages that not supported by translating.
+Then manual post-editing is applied for all non-English languages.
+
+## Usage
+
+```bash
+git clone https://github.com/CONE-MT/BenchMAX.git
+cd BenchMAX
+pip install -r requirements.txt
+
+cd tasks/arenahard
+bash prepare.sh
+```
 
-We extend the original English dataset to 16 non-English languages by first translating and then manual post-editing.
+Then modify the model configs in `arena-hard-auto/config`.
+Please add your model config to `api_config.yaml` and add your model name to the model list in other config like `gen_answer_config_*.yaml` and `judge_config_*.yaml`.
+
+Finally, deploy your model and run the evaluation, where your model first generates responses to prompts and DeepSeek-V3 judge them against GPT-4o responses, as we do in the paper.
+
+```bash
+# serve your model by vllm
+vllm serve meta-llama/Llama-3.1-8B-Instruct
+
+# generate responses
+cd arena-hard-auto
+languages=(en ar bn cs de es fr hu ja ko ru sr sw te th vi zh)
+for lang in "${languages[@]}"; do
+    python gen_answer.py --setting-file config/gen_answer_config_${lang}.yaml
+done
+
+# run LLM-as-a-judge
+export OPENAI_API_KEY=...
+for lang in "${languages[@]}"; do
+    python gen_judgment.py --setting-file config/judge_config_${lang}.yaml
+done
+```
 
 ## Supported Languages
 Arabic, Bengali, Chinese, Czech, English, French, German, Hungarian, Japanese, Korean, Serbian, Spanish, Swahili, Telugu, Thai, Russian, Vietnamese