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Update README.md

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  ---
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  configs:
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  - config_name: labeled_all
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- data_files: "labeled_all/all.csv"
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- # data_files:
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- # - split: all
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- # path: "labeled_all/all.csv"
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  default: true
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- description: "Labeled spectra data with trait measurements for supervised learning."
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  - config_name: unlabeled
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- data_files: "unlabeled/*.csv"
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- description: "Unlabeled spectra data for semi-supervised or self-supervised learning."
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-
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  - config_name: labeled_splits
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  data_files:
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  - split: train
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- path: "labeled_splits/train.csv"
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  - split: test
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- path: "labeled_splits/test.csv"
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- description: "A stratified splitting of the labeled data."
 
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  ---
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  # 🌱 GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction 🌱
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@@ -90,4 +87,4 @@ display(df.head())
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  license: cc-by-nc-4.0
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- ---
 
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  ---
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  configs:
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  - config_name: labeled_all
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+ data_files: labeled_all/all.csv
 
 
 
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  default: true
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+ description: Labeled spectra data with trait measurements for supervised learning.
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  - config_name: unlabeled
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+ data_files: unlabeled/*.csv
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+ description: Unlabeled spectra data for semi-supervised or self-supervised learning.
 
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  - config_name: labeled_splits
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  data_files:
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  - split: train
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+ path: labeled_splits/train.csv
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  - split: test
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+ path: labeled_splits/test.csv
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+ description: A stratified splitting of the labeled data.
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+ license: cc-by-nc-4.0
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  ---
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  # 🌱 GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction 🌱
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  license: cc-by-nc-4.0
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+ ---