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@@ -133,7 +133,7 @@ This will install **PyTorch**, **Torchvision**, and other required dependencies
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  ### 5. **Load the DeepMIMO Dataset**
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- Before tokenizing and processing the data, you need to load the **DeepMIMO** dataset. Below is a list of available datasets and their links for more information:
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  📊 **Dataset Overview**
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  | Dataset 4 | 🌉 Santa Clara | 2689 | [DeepMIMO City Scenario 11](https://www.deepmimo.net/scenarios/deepmimo-city-scenario11/) |
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  | Dataset 5 | 🌅 San Diego | 2192 | [DeepMIMO City Scenario 7](https://www.deepmimo.net/scenarios/deepmimo-city-scenario7/) |
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  #### **Operational Settings**:
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  - **Antennas at BS**: 32
 
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  ### 5. **Load the DeepMIMO Dataset**
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+ Before proceeding with tokenization and data processing, the **DeepMIMO** dataset—or any dataset generated using the operational settings outlined below—must first be loaded. The table below provides a list of available datasets and their respective links for further details:
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  📊 **Dataset Overview**
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  | Dataset 4 | 🌉 Santa Clara | 2689 | [DeepMIMO City Scenario 11](https://www.deepmimo.net/scenarios/deepmimo-city-scenario11/) |
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  | Dataset 5 | 🌅 San Diego | 2192 | [DeepMIMO City Scenario 7](https://www.deepmimo.net/scenarios/deepmimo-city-scenario7/) |
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+ It is important to note that these six datasets were **not** used during the pre-training of the LWM model, and the high-quality embeddings produced are a testament to LWM’s robust generalization capabilities rather than overfitting.
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+ The operational settings below were used in generating the datasets for both the pre-training of LWM and the downstream tasks. If you intend to use custom datasets, please ensure they adhere to these configurations:
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  #### **Operational Settings**:
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  - **Antennas at BS**: 32