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README.md

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   <p><em>LLM-BEM-Engineer for automated editing.</em></p>
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+## 📁 LLM-BEM-Engineer Benchmark Dataset
+
+This benchmark dataset is designed to evaluate the capability of **Large Language Models (LLMs)** in generating **Building Energy Models (BEMs)** from natural language descriptions.
+
+The benchmark focuses on two essential aspects of real-world applicability:
+
+- **Scalability**: The ability of LLMs to handle a wide range of building configurations and system complexities.
+- **Robustness**: The ability of LLMs to correctly infer user intent under noisy, ambiguous, or incomplete inputs.
+
+The benchmark consists of **two complementary test sets**, each designed to evaluate a different capability of LLMs in automated building energy model generation.
+
+| Dataset | Purpose | Description |
+|-------|--------|-------------|
+| `detailed_prompt_test` | Scalability benchmark | Well-specified and detailed building modeling prompts |
+| `robust_prompt_test` | Robustness benchmark | Noisy and high-level user input prompts |
+
+For details, please refer to the *LLM-BEM-Engineer Benchmark* folder in this repository.
+
 ## 🚀 Quick Start
 
 Here provides a code snippet to show you how to run the LLM-BEM-Engineer.