Update README

README.md

@@ -120,8 +120,26 @@ return subset name list. for example,
 '''
 ```
 
+### 2 : load dataset:
+* 
+```python
+data = load_dataset("mb23/GraySpectrogram", subset_name_list[0])
+for subset in subset_name_list:
+    # Confirm subset_list doesn't include "remove_list" datasets in the above cell.
+    print(subset)
+    new_ds = load_dataset("mb23/GraySpectrogram", subset)
+    new_dataset_train = datasets.concatenate_datasets([data["train"], new_ds["train"]])
+    new_dataset_test = datasets.concatenate_datasets([data["test"], new_ds["test"]])
+
+    # take place of data[split]
+    data["train"] = new_dataset_train
+    data["test"] = new_dataset_test
+
+data
+```
+
 
-### 2 : load dataset and change to dataloader:
+### 3 : load dataset and change to dataloader:
 * You can use the code below:
 * <font color="red">...but (;・∀・)I don't know whether this code works efficiently, because I haven't tried this code so far</color>
 ```python
@@ -129,10 +147,10 @@ import datasets
 from datasets import load_dataset, DatasetDict
 from torchvision import transforms
 from torch.utils.data import DataLoader
-BATCH_SIZE = ??? 
-IMAGE_SIZE = ???
-TRAIN_SIZE = ??? # the number of training data
-TEST_SIZE = ??? # the number of test data
+# BATCH_SIZE = ??? 
+# IMAGE_SIZE = ???
+# TRAIN_SIZE = ??? # the number of training data
+# TEST_SIZE = ??? # the number of test data
 
 def load_datasets():
 
@@ -145,7 +163,7 @@ def load_datasets():
     data_transform = transforms.Compose(data_transforms)
 
     data = load_dataset("mb23/GraySpectrogram", subset_list[0])
-    for subset in subset_list:
+    for subset in subset_name_list:
         # Confirm subset_list doesn't include "remove_list" datasets in the above cell.
         print(subset)
         new_ds = load_dataset("mb23/GraySpectrogram", subset)