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@@ -31,6 +31,13 @@ We opted to use HDF5 to grant better portability and lower file size than GeoTIF
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  ### Dataset opening
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  The dataset was compressed using `h5py` and BZip2 from `hdf5plugin`. **WARNING: `hdf5plugin` is necessary to extract data**.
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  ### Data Instances
 
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  ### Dataset opening
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+ ```python
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+ from dataset import load_dataset
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+
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+ # There are two available configurations "post-fire" and "pre-post-fire"
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+ dataset = load_dataset("DarthReca/california_burned_areas", name="post-fire")
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+ ```
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+
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  The dataset was compressed using `h5py` and BZip2 from `hdf5plugin`. **WARNING: `hdf5plugin` is necessary to extract data**.
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  ### Data Instances