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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
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