diff --git a/README.md b/README.md
index 4a0282b..fb34d0d 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,9 @@
 # semantic-segmentation
 
-多光谱图像语义分割。
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+多光谱图像语义分割。
+
+1. 先把这个项目跑通。
+2. 把mmsegmentation用到这个数据集上。
+
+- 数据集处理代码datasets_pro.py
+- <https://zhuanlan.zhihu.com/p/679552339>
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diff --git a/datasets_pro.py b/datasets_pro.py
new file mode 100644
index 0000000..92efbc3
--- /dev/null
+++ b/datasets_pro.py
@@ -0,0 +1,62 @@
+import os
+import shutil
+
+# 定义文件夹路径
+base_dir = r"e:\datasets\wlk_right_448"
+jpeg_images_dir = os.path.join(base_dir, "JPEGImages")
+segmentation_class_dir = os.path.join(base_dir, "SegmentationClass")
+annotations_dir = os.path.join(base_dir, "stare_stuct", "annotations")
+images_dir = os.path.join(base_dir, "stare_stuct", "images")
+
+# 定义目标文件夹
+annotations_training_dir = os.path.join(annotations_dir, "training")
+annotations_validation_dir = os.path.join(annotations_dir, "validation")
+images_training_dir = os.path.join(images_dir, "training")
+images_validation_dir = os.path.join(images_dir, "validation")
+
+# 创建目标文件夹
+os.makedirs(annotations_training_dir, exist_ok=True)
+os.makedirs(annotations_validation_dir, exist_ok=True)
+os.makedirs(images_training_dir, exist_ok=True)
+os.makedirs(images_validation_dir, exist_ok=True)
+
+# 读取 train.txt 和 val.txt
+train_file = os.path.join(base_dir, "train.txt")
+val_file = os.path.join(base_dir, "val.txt")
+
+
+def read_file_list(file_path):
+    with open(file_path, "r") as f:
+        return [line.strip() for line in f.readlines()]
+
+
+train_list = read_file_list(train_file)
+val_list = read_file_list(val_file)
+
+# 移动文件函数
+
+
+def move_files(file_list, src_images_dir, src_labels_dir, dst_images_dir, dst_labels_dir):
+    for file_name in file_list:
+        # 图片文件
+        image_src = os.path.join(src_images_dir, file_name)
+        image_dst = os.path.join(dst_images_dir, file_name)
+        if os.path.exists(image_src):
+            shutil.copy(image_src, image_dst)
+
+        # 标签文件
+        label_src = os.path.join(src_labels_dir, file_name)
+        label_dst = os.path.join(dst_labels_dir, file_name)
+        if os.path.exists(label_src):
+            shutil.copy(label_src, label_dst)
+
+
+# 移动训练集文件
+move_files(train_list, jpeg_images_dir, segmentation_class_dir,
+           images_training_dir, annotations_training_dir)
+
+# 移动验证集文件
+move_files(val_list, jpeg_images_dir, segmentation_class_dir,
+           images_validation_dir, annotations_validation_dir)
+
+print("文件组织完成！")