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@@ -56,6 +56,7 @@ GreenHySpectra is a collection of hyperspectral reflectance data of vegetation f
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  | ... | More spectral bands |
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  | 2450 | Reflectance at 2450nm |
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  <!-- --- -->
 
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  ```
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  ### Check the data with Hugging Face datasets library ###
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  from datasets import load_dataset
@@ -91,8 +92,8 @@ display(GreenHyperSpectra.head())
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  | Anth | Leaf anthocynins content (µg/m²) |
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  | Cbc | Carbon-based constituents (g/cm²) |
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  <!-- --- -->
 
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  ```
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- ### Check the data with Hugging Face datasets library ###
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  from datasets import load_dataset
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  ### Labeled data: labeled_all ###
@@ -106,6 +107,7 @@ display(df.head())
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  - Files: all CSVs under `labeled_splits/`
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  These files follow the same format as the previous set but are pre-split for machine learning purposes. The split is stratified based on the dataset ID, with 20% of the data reserved for testing.
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  ```
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  ### Check the data with Hugging Face datasets library ###
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  from datasets import load_dataset
 
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  | ... | More spectral bands |
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  | 2450 | Reflectance at 2450nm |
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  <!-- --- -->
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+ #### Check the data with Hugging Face datasets library
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  ```
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  ### Check the data with Hugging Face datasets library ###
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  from datasets import load_dataset
 
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  | Anth | Leaf anthocynins content (µg/m²) |
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  | Cbc | Carbon-based constituents (g/cm²) |
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  <!-- --- -->
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+ #### Check the data with Hugging Face datasets library
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  ```
 
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  from datasets import load_dataset
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  ### Labeled data: labeled_all ###
 
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  - Files: all CSVs under `labeled_splits/`
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  These files follow the same format as the previous set but are pre-split for machine learning purposes. The split is stratified based on the dataset ID, with 20% of the data reserved for testing.
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+ #### Check the data with Hugging Face datasets library
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  ```
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  ### Check the data with Hugging Face datasets library ###
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  from datasets import load_dataset