Add train split and README.md

README.md

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+---
+pretty_name: FranceCrops
+license: cc-by-sa-4.0
+tags:
+- earth-observation
+- remote-sensing
+- agriculture
+- timeseries
+- geospatial
+task_categories:
+- image-classification
+size_categories:
+- 10K<n<100K
+---
+
+# Dataset Card for FranceCrops
+
+## Dataset Summary
+
+FranceCrops is a satellite imagery time series dataset for crop classification in France. 
+
+Each sample in the dataset consists of:
+- **Input Features (`x`)**: 3D arrays of shape (100, 60, 12) in float16:
+  - 100: number of timeseries sampled within an agricultural field
+  - 60: temporal dimension (measurements every 5 days from 01/02/2022 to 30/11/2022)
+  - 12: spectral bands from Sentinel-2 satellite
+- **Labels (`y`)**: Integer class labels (int16), one of 20 crop types
+
+## Splits
+
+🚧 Work in Progress 🚧
+
+- `train`: 20,000 samples (~3.4GB)
+
+## Usage
+
+```python
+from datasets import load_dataset
+# Load the dataset
+dataset = load_dataset("saget-antoine/francecrops", split="train")
+
+# Example of accessing a single sample
+sample = dataset[0]
+x = sample["x"]  # Get the input features
+y = sample["y"]  # Get the label
+```
+
+Typical usage with PyTorch:
+
+```python
+import torch
+from torch.utils.data import DataLoader
+from datasets import load_dataset
+
+dataset = load_dataset("saget-antoine/francecrops", split="train").with_format("torch", columns=["x", "y"], dtype=torch.float16)
+
+train_loader = DataLoader(dataset, batch_size=1024, shuffle=True, num_workers=8)
+```
+
+## Dataset Creation
+
+### Source Data
+
+🚧 Work in Progress 🚧
+
+- Features: Sentinel-2 L2A satellite imagery extracted using GEE
+- Labels: Crop type classification from the 2022French Registre Parcellaire Graphique (RPG)
+
+### Preprocessing
+
+🚧 Work in Progress 🚧
+
+- Remove clouds, shadows, and missing data time steps
+- Temporal alignment
+- Temporal interpolation when missing
+
+## License
+
+Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA-4.0)

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train/dataset_info.json

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+{
+  "builder_name": "",
+  "citation": "",
+  "config_name": "",
+  "dataset_name": "francecrops",
+  "dataset_size": 3368120000,
+  "description": "Francecrops train dataset with 20 classes and 1000 samples per class",
+  "download_checksums": {},
+  "download_size": 0,
+  "features": {
+    "x": {
+      "shape": [
+        100,
+        60,
+        12
+      ],
+      "dtype": "float16",
+      "_type": "Array3D"
+    },
+    "y": {
+      "dtype": "int16",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "CC-BY-SA-4.0",
+  "size_in_bytes": 3368120000,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 3368120000,
+      "num_examples": 20000,
+      "shard_lengths": [
+        5000,
+        5000,
+        5000,
+        5000
+      ],
+      "dataset_name": "francecrops"
+    }
+  },
+  "version": {
+    "version_str": "0.0.1",
+    "major": 0,
+    "minor": 0,
+    "patch": 1
+  }
+}

train/state.json

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+  "_format_kwargs": {},
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+  "_output_all_columns": false,
+  "_split": "train"
+}