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Update README.md

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@@ -56,6 +56,20 @@ 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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  ### 2. `Labeled set`
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  - File: `labeled/all.csv`
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  - Contains:
@@ -88,12 +102,6 @@ These files follow the same format as the previous set but are pre-split for mac
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  from datasets import load_dataset
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- ### GreenHyperSpectra: unlabeled ###
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- ds_un = load_dataset("Avatarr05/GreenHyperSpectra", "unlabeled")
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- GreenHyperSpectra = ds_un['train'].to_pandas().drop(['Unnamed: 0'], axis=1)
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-
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- display(GreenHyperSpectra.head())
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-
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  ### Labeled data: labeled_all ###
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  ds = load_dataset("Avatarr05/GreenHyperSpectra", "labeled_all")
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  df = ds['train'].to_pandas().drop(['Unnamed: 0'], axis=1)
 
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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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+ ```
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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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+
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+ ### GreenHyperSpectra: unlabeled ###
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+ ds_un = load_dataset("Avatarr05/GreenHyperSpectra", "unlabeled")
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+ GreenHyperSpectra = ds_un['train'].to_pandas().drop(['Unnamed: 0'], axis=1)
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+
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+ display(GreenHyperSpectra.head())
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+
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+ ```
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+
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  ### 2. `Labeled set`
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  - File: `labeled/all.csv`
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  - Contains:
 
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  from datasets import load_dataset
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  ### Labeled data: labeled_all ###
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  ds = load_dataset("Avatarr05/GreenHyperSpectra", "labeled_all")
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  df = ds['train'].to_pandas().drop(['Unnamed: 0'], axis=1)