Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
art
License:
Commit
·
41dd085
1
Parent(s):
84a3fbf
update
Browse files- dataset_ini.py +4 -10
dataset_ini.py
CHANGED
@@ -10,14 +10,9 @@ def load_data(csv_file):
|
|
10 |
return dataset
|
11 |
|
12 |
def load_dataset():
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
training_real = 'datasets/training_set/real/'
|
19 |
-
training_fake = 'datasets/training_set/fake/'
|
20 |
-
|
21 |
# Define CSV files
|
22 |
train_csv = 'train_labels.csv'
|
23 |
test_csv = 'test_labels.csv'
|
@@ -29,10 +24,9 @@ def load_dataset():
|
|
29 |
|
30 |
# Combine datasets for training
|
31 |
|
32 |
-
|
33 |
test_dataset = load_data(test_csv)
|
34 |
|
35 |
-
|
36 |
|
37 |
# Create DatasetDict
|
38 |
dataset_dict = DatasetDict({
|
|
|
10 |
return dataset
|
11 |
|
12 |
def load_dataset():
|
13 |
+
|
14 |
+
|
15 |
+
|
|
|
|
|
|
|
|
|
|
|
16 |
# Define CSV files
|
17 |
train_csv = 'train_labels.csv'
|
18 |
test_csv = 'test_labels.csv'
|
|
|
24 |
|
25 |
# Combine datasets for training
|
26 |
|
27 |
+
|
28 |
test_dataset = load_data(test_csv)
|
29 |
|
|
|
30 |
|
31 |
# Create DatasetDict
|
32 |
dataset_dict = DatasetDict({
|