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@@ -176,6 +176,16 @@ You can now clone specific scenarios from the DeepMIMO dataset, as detailed in t
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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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  #### **Clone the Scenarios:**
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  ```python
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  dataset_repo_url = "https://huggingface.co/datasets/wi-lab/lwm" # Base URL for dataset repo
 
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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
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+ - **Antennas at UEs**: 1
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+ - **Subcarriers**: 32
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+ - **Paths**: 20
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+ -
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  #### **Clone the Scenarios:**
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  ```python
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  dataset_repo_url = "https://huggingface.co/datasets/wi-lab/lwm" # Base URL for dataset repo