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@@ -13,6 +13,47 @@ configs:
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  - config_name: unlabeled
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  data_files: "unlb/*.csv"
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  description: "Unlabeled spectra data for semi-supervised or self-supervised learning."
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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  ---
 
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  - config_name: unlabeled
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  data_files: "unlb/*.csv"
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  description: "Unlabeled spectra data for semi-supervised or self-supervised learning."
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+ ---
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+ # Spectra Dataset for Trait Prediction
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+
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+ This dataset includes hyperspectral reflectance data of plant samples. It is intended for machine learning tasks such as Regression for plant trait prediction with self and semi-supervised learning.
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+
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+ ## 📁 Configurations
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+
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+ ### 1. `labeled`
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+ - File: `lb.csv`
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+ - Contains:
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+ - Sample ID
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+ - Spectral bands (400-2450 nm) >> 1721 bands
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+ - Trait measurements (e.g., nitrogen, moisture, etc.)
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+
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+ | Column | Description |
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+ |----------------|----------------------------------------------|
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+ | `dataset_id` | Unique sample identifier |
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+ | `400` | Reflectance at 400nm |
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+ | ... | More spectral bands (every 10nm, etc.) |
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+ | `2450` | More spectral bands (every 10nm, etc.) |
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+ | Cp | Nitrogen content |
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+ | Cm | |
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+ | Cw | |
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+ | LAI | |
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+ | Cab | |
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+ | Car | |
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+ | Anth | |
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+ ---
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+
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+ ### 2. `unlabeled`
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+ - Files: all CSVs under `Unlb/`
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+ - Contains:
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+ - Sample ID
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+ - Spectral bands only
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+
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+ | Column | Description |
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+ |----------------|----------------------------------------------|
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+ | `dataset_id` | Unique sample identifier |
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+ | `400` | Reflectance at 400nm |
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+ | | |
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+ ---
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  license: mit
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  ---