feat(readme): add a simple readme and comment the swanlab link

Author: little1d

.env.example

@@ -1,2 +1,66 @@
 # SpectrumLab
 
+<div align="center">
+A pioneering unified platform designed to systematize and accelerate deep learning research in spectroscopy.
+</div>
+
+## Quick Start
+
+### Environment Setup
+
+We recommend using conda and uv for environment management:
+
+```bash
+# Clone the repository
+git clone https://github.com/your-org/SpectrumLab.git
+cd SpectrumLab
+
+# Create conda environment
+conda create -n spectrumlab python=3.10
+conda activate spectrumlab
+
+pip install uv
+uv pip install -e .
+```
+
+### One-Click Evaluation
+
+1. **Switch to evaluation branch**
+
+   ```bash
+   git checkout evaluation
+   ```
+
+2. **Download benchmark data**
+
+   Benchmark data is hosted on Hugging Face. Please download it from the following link:
+
+   [https://huggingface.co/datasets/SpectrumWorld/spectrumbench_v_1.0](https://huggingface.co/datasets/SpectrumWorld/spectrumbench_v_1.0)
+
+   After downloading, extract the data to the `data` directory in the project root.
+
+3. **Configure model parameters**
+
+   ```bash
+   # Copy and edit environment configuration
+   cp .env.example .env
+   # Configure your API keys in the .env file
+   ```
+
+4. **Run evaluation**
+
+   ```bash
+   python run_evaluation.py
+   
+   # Run in background
+   nohup python run_evaluation.py > run_eval.log 2>&1 &
+   ```
+
+## 🤝 Contributing
+
+We welcome community contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for detailed guidelines.
+
+## Acknowledgments
+
+- **Experiment Tracking**: [SwanLab](https://github.com/SwanHubX/SwanLab/) for experiment management and visualization
+- **Evaluation Framework**: Inspired by [MMAR](https://github.com/ddlBoJack/MMAR)

README.md

@@ -1,4 +1,4 @@
-import swanlab
+# import swanlab
 from spectrumlab.models import GPT4_1
 from spectrumlab.benchmark.signal_group import SignalGroup
 from spectrumlab.benchmark.generation_group import GenerationGroup
@@ -46,12 +46,12 @@
 ]
 
 # Change the experiment_name to your model name!!!
-swanlab.init(
-    workspace="SpectrumLab",
-    project="spectrumlab-eval",
-    experiment_name="gpt_4_1_generation_evaluation_results",
-    config={"model": MODEL.model_name},
-)
+# swanlab.init(
+#     workspace="SpectrumLab",
+#     project="spectrumlab-eval",
+#     experiment_name="gpt_4_1_generation_evaluation_results",
+#     config={"model": MODEL.model_name},
+# )
 
 for group_info in GROUPS:
     name = group_info["name"]
@@ -63,9 +63,9 @@
     results = evaluator.evaluate(data_items=data, model=MODEL, save_path=SAVE_DIR)
     accuracy = results["metrics"]["overall"]["accuracy"]
     print(f"{name} Group evaluation completed! Overall accuracy: {accuracy:.2f}%\n")
-    swanlab.log({f"{name}_accuracy": accuracy})
+    # swanlab.log({f"{name}_accuracy": accuracy})
 
-swanlab.finish()
+# swanlab.finish()
 
 # use nohup in the terminal to start the evaluation
 # nohup python run_evaluation.py > run_eval.log 2>&1 &