Datasets:
Update README.md
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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:
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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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display(GreenHyperSpectra.head())
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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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### Check the data with Hugging Face datasets library ###
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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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display(GreenHyperSpectra.head())
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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)
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