| # FranceCrops Float16 Dataset | |
| Memory-efficient version of the FranceCrops dataset stored in float16 format. | |
| ## Dataset Description | |
| - Each sample contains Sentinel-2 time series data (shape: 100, 60, 12) and corresponding crop type labels | |
| - Features stored in float16 format for reduced memory usage | |
| - Labels stored as int16 | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| # Load dataset | |
| dataset = load_dataset("saget-antoine/francecrops-float16") | |
| # Load with specific format (recommended for training) | |
| # As float32 | |
| dataset = dataset.with_format('torch', dtype=torch.float32) | |
| # Or as float16 for memory efficiency | |
| dataset = dataset.with_format('torch', dtype=torch.float16) | |
| # Or as bfloat16 for TPU compatibility | |
| dataset = dataset.with_format('torch', dtype=torch.bfloat16) | |
| ``` | |
| ## Memory Usage | |
| Using float16 format reduces the memory footprint by approximately 50% compared to float32, while maintaining sufficient precision for most agricultural monitoring tasks. | |
| ## Citation | |
| If you use this dataset, please cite the original FranceCrops paper. | |