Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -69,13 +69,23 @@ These files follow the same format as the previous set but are pre-split for mac
|
|
| 69 |
> To work effectively with this dataset, we recommend using the **Hugging Face `datasets` library** or the **MLCroissant Python library** for programmatic access and exploration.
|
| 70 |
|
| 71 |
```
|
|
|
|
|
|
|
| 72 |
from datasets import load_dataset
|
| 73 |
|
|
|
|
| 74 |
# Login using e.g. `huggingface-cli login` to access this dataset
|
| 75 |
ds = load_dataset("Avatarr05/GreenHyperSpectra", "labeled_all")
|
| 76 |
|
| 77 |
df = ds['train'].to_pandas().drop(['Unnamed: 0'], axis=1)
|
| 78 |
display(df.head())
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 79 |
```
|
| 80 |
|
| 81 |
|
|
|
|
| 69 |
> To work effectively with this dataset, we recommend using the **Hugging Face `datasets` library** or the **MLCroissant Python library** for programmatic access and exploration.
|
| 70 |
|
| 71 |
```
|
| 72 |
+
### Check the data with **Hugging Face `datasets` library** ###
|
| 73 |
+
|
| 74 |
from datasets import load_dataset
|
| 75 |
|
| 76 |
+
### labeled_all ###
|
| 77 |
# Login using e.g. `huggingface-cli login` to access this dataset
|
| 78 |
ds = load_dataset("Avatarr05/GreenHyperSpectra", "labeled_all")
|
| 79 |
|
| 80 |
df = ds['train'].to_pandas().drop(['Unnamed: 0'], axis=1)
|
| 81 |
display(df.head())
|
| 82 |
+
|
| 83 |
+
### labeled_splits: train ###
|
| 84 |
+
train_dataset = load_dataset("Avatarr05/GreenHyperSpectra", 'labeled_splits', split="train")
|
| 85 |
+
|
| 86 |
+
train_dataset = train_dataset.to_pandas().drop(['Unnamed: 0'], axis=1)
|
| 87 |
+
display(df.head())
|
| 88 |
+
|
| 89 |
```
|
| 90 |
|
| 91 |
|