description

README.md

@@ -13,22 +13,46 @@ viewer: true
 ---
 
 
-# 🌞 Intro
-**AnesBench** is designed to assess anesthesiology-related reasoning capabilities of Large Language Models (LLMs). 
-It contains 4,427 anesthesiology questions in English. 
-Each question is labeled with a three-level categorization of cognitive demands and includes Chinese-English translations, 
-enabling evaluation of LLMs’ knowledge, application, and clinical reasoning abilities across diverse linguistic contexts.
+# Dataset Description
 
-# 🔥 Update
-**2025.03.31**
-- We released the [AnesBench project page](https://mililab.github.io/anesbench.ai/) !!!.
+**AnesBench** is designed to assess anesthesiology-related reasoning capabilities of Large Language Models (LLMs). It contains 4,427 anesthesiology questions in English. Each question is labeled with a three-level categorization of cognitive demands and includes Chinese-English translations, enabling evaluation of LLMs’ knowledge, application, and clinical reasoning abilities across diverse linguistic contexts.
 
-# 🔨 Evaluation code
-Please refer [AnesBench Github repository](https://github.com/MiliLab/AnesBench).
+## JSON Sample
 
-# ⭐ Citation
+```json
+    {
+        "id": "1bb76e22-6dbf-5b17-bbdf-0e6cde9f9440",
+        "choice_num": 4,
+        "answer": "A",
+        "level": 1,
+        "en_question": "english question",
+        "en_A": "option 1",
+        "en_B": "option 2",
+        "en_C": "option 3",
+        "en_D": "option 4",
+        "zh_question": "中文问题",
+        "zh_A": "选项一",
+        "zh_B": "选项二",
+        "zh_C": "选项三",
+        "zh_D": "选项四"
+    }
+```
 
-If you find AnesBench helpful, please consider giving this repo a ⭐ and citing:
+## Field Explanations
+
+| Field         | Type   | Description                                                                 |
+|------------------|----------|-----------------------------------------------------------------------------|
+| `id`             | string   | A randomly generated ID using UUID                                          |
+| `choice_num`     | int      | The number of choices in this question                                      |
+| `answer`         | string   | The correct answer to this question                                         |
+| `level`          | int      | The cognitive demand level of the question (`1`, `2`, and `3` represent `system1`, `system1.x`, and `system2` respectively) |
+| `en_question`    | string   | English description of the question stem                                   |
+| `cn_question`    | string   | Chinese description of the question stem                                   |
+| `en_X`           | string   | English description of the option                                          |
+| `cn_X`           | string   | Chinese description of the option                                          |
+
+
+## Recommended Usage
+
+- **Question Answering**: QA in a zero-shot or few-shot setting, where the question is fed into a QA system. Accuracy should be used as the evaluation metric.
 
-```
-```

meta.json

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+
+