Datasets:
Update README.md
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README.md
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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
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@@ -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 ###
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@@ -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
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