update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 license: cc-by-4.0
 task_categories:
-- text-generation
+- translation
 language:
 - en
 - zh
@@ -264,15 +264,36 @@ configs:
 ---
 ## 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_Domain_Translation is a dataset of BenchMAX.
+BenchMAX_Domain_Translation is a dataset of BenchMAX, which evaluates the translation capability on specific domains.
 
-We collect the domain parallel data from other tasks in BenchMAX.
+We collect the domain multi-way parallel data from other tasks in BenchMAX, such as math data, code data, etc.
 Each sample contains one or three human-annotated translations.
 
+## Usage
+
+```bash
+git clone --recurse-submodules https://github.com/CONE-MT/BenchMAX.git
+cd BenchMAX
+pip install -r requirements.txt
+
+cd tasks/translation
+tasks=("ifeval" "gpqa" "lcb_v4" "mgsm" "humaneval" "nexus" "arenahard")
+max_tokens_list=(512 3072 2048 1024 1024 512 3072)
+for i in "${!tasks[@]}"; do
+    task=${tasks[$i]}
+    max_tokens=${max_tokens_list[$i]}
+    python generate_translation.py -s en -t zh,es,fr,de,ru,ja,th,sw,bn,te,ar,ko,vi,cs,hu,sr --task-name $task --model-name ${model} --infer-backend vllm --max-tokens ${max_tokens}
+    python generate_translation.py -s zh,es,fr,de,ru,ja,th,sw,bn,te,ar,ko,vi,cs,hu,sr -t en --task-name $task --model-name ${model} --infer-backend vllm --max-tokens ${max_tokens}
+
+    python evaluate_translation.py -s en -t zh,es,fr,de,ru,ja,th,sw,bn,te,ar,ko,vi,cs,hu,sr --task-name $task --model-name ${model} --metrics spBLEU
+    python evaluate_translation.py -s zh,es,fr,de,ru,ja,th,sw,bn,te,ar,ko,vi,cs,hu,sr -t en --task-name $task --model-name ${model} --metrics spBLEU
+done
+```
+
 ## Supported Languages
 Arabic, Bengali, Chinese, Czech, English, French, German, Hungarian, Japanese, Korean, Serbian, Spanish, Swahili, Telugu, Thai, Russian, Vietnamese