diff --git a/.gitignore b/.gitignore
index 5ac158d5c777460860dc9fcd810c2b0e5371cb53..c48334889fb351cfc6616cd6190031f95d9dbed0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,4 +4,5 @@ __pycache__/
 build
 .vscode/
 /dataset
-/logs
\ No newline at end of file
+/logo
+.DS_Store
\ No newline at end of file
diff --git a/StreamLearn/Dataset/TV100Dataset.py b/StreamLearn/Dataset/TV100Dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..cfcdf22a3051f48bd7746d6536f5d006cdfd9042
--- /dev/null
+++ b/StreamLearn/Dataset/TV100Dataset.py
@@ -0,0 +1,37 @@
+import os
+import numpy as np
+from PIL import Image
+import pandas as pd
+from torchvision.transforms import transforms
+from StreamLearn.Dataset.StreamDataset import StreamDataset
+from torch.utils.data import DataLoader
+from torchvision import datasets, transforms
+
+
+
+class TV100_Dataset(StreamDataset):
+    def __init__(self, args):
+        self.name = 'TV100'
+        self.args = args     
+        self.root_path = 'StreamLearn/Dataset/tv100'
+        
+    
+    def load_data_set(self, train=True, transform=None):
+        if transform is None:
+            transform = transforms.Compose([
+                transforms.Resize((224, 224)),
+                transforms.ToTensor(),
+                transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])  
+            ])
+        if train:
+            dataset = datasets.ImageFolder(root=os.path.join(self.root_path, 'train'), transform=transform)
+        else:
+            dataset = datasets.ImageFolder(root=os.path.join(self.root_path, 'test'), transform=transform)
+        print(dataset.classes)
+        return datasets, dataset.classes
+
+if __name__ == "__main__":
+    Data = TV100_Dataset(args=None)
+    train_dataset, classes = Data.load_data_set(train=True)
+    test_dataset, _ = Data.load_data_set(train=False)
+    
\ No newline at end of file
diff --git a/StreamLearn/Dataset/dataset_information b/StreamLearn/Dataset/dataset_information
index e881be4e7d2c003b30306f352b020cdc8576b85e..ed72aa83b704168d79556ba945817f31ea15b982 100644
--- a/StreamLearn/Dataset/dataset_information
+++ b/StreamLearn/Dataset/dataset_information
@@ -1,4 +1,8 @@
 数据集
 通过百度网盘分享的文件：SAFC_datasets_CIFAR10.zip
 链接：https://pan.baidu.com/s/1xtZjSxIIEMnUwoM7VXCzkQ 
-提取码：nudt
\ No newline at end of file
+提取码：nudt
+
+通过 Onedrive 链接获取文件: TV100.zip
+https://njuedu-my.sharepoint.cn/personal/ky2409911_365_nju_edu_cn/_layouts/15/download.aspx?SourceUrl=%2Fpersonal%2Fky2409911%5F365%5Fnju%5Fedu%5Fcn%2FDocuments%2FTV100%2FTV100%2Ezip
+解压之后放在 /dataset/tv100 路径下
\ No newline at end of file