diff --git a/AlphaGo/data.py b/AlphaGo/data.py
deleted file mode 100644
index 464ebb9..0000000
--- a/AlphaGo/data.py
+++ /dev/null
@@ -1,84 +0,0 @@
-import os
-import threading
-import numpy as np
-
-size = 9
-path = "/home/yama/leela-zero/data/npz-files/"
-name = os.listdir(path)
-print(len(name))
-thread_num = 17
-batch_num = len(name) // thread_num
-
-def integrate(name, index):
-    boards = np.zeros([0, size, size, 17])
-    wins = np.zeros([0, 1])
-    ps = np.zeros([0, size**2 + 1])
-    for n in name:
-        data = np.load(path + n)
-        board = data["state"]
-        win = data["winner"]
-        p = data["prob"]
-        # board = np.zeros([0, size, size, 17])
-        # win = np.zeros([0, 1])
-        # p = np.zeros([0, size**2 + 1])
-        # for i in range(data["boards"].shape[3]):
-        #       board = np.concatenate([board, data["boards"][:,:,:,i].reshape(-1, size, size, 17)], axis=0)
-        #       win = np.concatenate([win, data["win"][:,i].reshape(-1, 1)], axis=0)
-        # p = np.concatenate([p, data["p"][:,i].reshape(-1, size**2 + 1)], axis=0)
-        boards = np.concatenate([boards, board], axis=0)
-        wins = np.concatenate([wins, win], axis=0)
-        ps = np.concatenate([ps, p], axis=0)
-        # print("Finish " + n)
-    print ("Integration {} Finished!".format(index))
-    board_ori = boards
-    win_ori = wins
-    p_ori = ps
-    for i in range(1, 3):
-        board = np.rot90(board_ori, i, (1, 2))
-        p = np.concatenate(
-            [np.rot90(p_ori[:, :-1].reshape(-1, size, size), i, (1, 2)).reshape(-1, size**2), p_ori[:, -1].reshape(-1, 1)],
-            axis=1)
-        boards = np.concatenate([boards, board], axis=0)
-        wins = np.concatenate([wins, win_ori], axis=0)
-        ps = np.concatenate([ps, p], axis=0)
-
-    board = board_ori[:, ::-1]
-    p = np.concatenate([p_ori[:, :-1].reshape(-1, size, size)[:, ::-1].reshape(-1, size**2), p_ori[:, -1].reshape(-1, 1)],
-                       axis=1)
-    boards = np.concatenate([boards, board], axis=0)
-    wins = np.concatenate([wins, win_ori], axis=0)
-    ps = np.concatenate([ps, p], axis=0)
-
-    board = board_ori[:, :, ::-1]
-    p = np.concatenate([p_ori[:, :-1].reshape(-1, size, size)[:, :, ::-1].reshape(-1, size**2), p_ori[:, -1].reshape(-1, 1)],
-                       axis=1)
-    boards = np.concatenate([boards, board], axis=0)
-    wins = np.concatenate([wins, win_ori], axis=0)
-    ps = np.concatenate([ps, p], axis=0)
-
-    board = board_ori[:, ::-1]
-    p = np.concatenate(
-        [np.rot90(p_ori[:, :-1].reshape(-1, size, size)[:, ::-1], 1, (1, 2)).reshape(-1, size**2), p_ori[:, -1].reshape(-1, 1)],
-        axis=1)
-    boards = np.concatenate([boards, np.rot90(board, 1, (1, 2))], axis=0)
-    wins = np.concatenate([wins, win_ori], axis=0)
-    ps = np.concatenate([ps, p], axis=0)
-
-    board = board_ori[:, :, ::-1]
-    p = np.concatenate(
-        [np.rot90(p_ori[:, :-1].reshape(-1, size, size)[:, :, ::-1], 1, (1, 2)).reshape(-1, size**2),
-         p_ori[:, -1].reshape(-1, 1)],
-        axis=1)
-    boards = np.concatenate([boards, np.rot90(board, 1, (1, 2))], axis=0)
-    wins = np.concatenate([wins, win_ori], axis=0)
-    ps = np.concatenate([ps, p], axis=0)
-
-    np.savez("/home/tongzheng/data/data-" + str(index), state=boards, winner=wins, prob=ps)
-    print ("Thread {} has finished.".format(index))
-thread_list = list()
-for i in range(thread_num):
-    thread_list.append(threading.Thread(target=integrate, args=(name[batch_num * i:batch_num * (i + 1)], i,)))
-for thread in thread_list:
-    thread.start()
-for thread in thread_list:
-    thread.join()