Upload float16 version of FranceCrops dataset

README.md

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+# 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.