diff --git a/examples/orderbook_data/README.md b/examples/orderbook_data/README.md
index 890e11f41e..53fd523d7f 100644
--- a/examples/orderbook_data/README.md
+++ b/examples/orderbook_data/README.md
@@ -16,7 +16,7 @@ Current version of script with default value tries to connect localhost **via de
 
 Run following command to install necessary libraries
 ```
-pip install pytest coverage
+pip install pytest coverage gdown
 pip install arctic  # NOTE: pip may fail to resolve the right package dependency !!! Please make sure the dependency are satisfied.
 ```
 
@@ -27,7 +27,8 @@ pip install arctic  # NOTE: pip may fail to resolve the right package dependency
 2. Please follow following steps to download example data
 ```bash
 cd examples/orderbook_data/
-python ../../scripts/get_data.py download_data --target_dir . --file_name highfreq_orderbook_example_data.zip
+gdown https://drive.google.com/uc?id=15nZF7tFT_eKVZAcMFL1qPS4jGyJflH7e  # Proxies may be necessary here.
+python ../../scripts/get_data.py _unzip --file_path highfreq_orderbook_example_data.zip --target_dir .
 ```
 
 3. Please import the example data to your mongo db
diff --git a/qlib/tests/data.py b/qlib/tests/data.py
index f6bd780905..2fa76855b5 100644
--- a/qlib/tests/data.py
+++ b/qlib/tests/data.py
@@ -12,15 +12,11 @@
 from tqdm import tqdm
 from pathlib import Path
 from loguru import logger
-from cryptography.fernet import Fernet
 from qlib.utils import exists_qlib_data
 
 
 class GetData:
-    REMOTE_URL = "https://qlibpublic.blob.core.windows.net/data/default/stock_data"
-    # "?" is not included in the token.
-    TOKEN = b"gAAAAABkmDhojHc0VSCDdNK1MqmRzNLeDFXe5hy8obHpa6SDQh4de6nW5gtzuD-fa6O_WZb0yyqYOL7ndOfJX_751W3xN5YB4-n-P22jK-t6ucoZqhT70KPD0Lf0_P328QPJVZ1gDnjIdjhi2YLOcP4BFTHLNYO0mvzszR8TKm9iT5AKRvuysWnpi8bbYwGU9zAcJK3x9EPL43hOGtxliFHcPNGMBoJW4g_ercdhi0-Qgv5_JLsV-29_MV-_AhuaYvJuN2dEywBy"
-    KEY = "EYcA8cgorA8X9OhyMwVfuFxn_1W3jGk6jCbs3L2oPoA="
+    REMOTE_URL = "https://github.com/SunsetWolf/qlib_dataset/releases/download"
 
     def __init__(self, delete_zip_file=False):
         """
@@ -33,9 +29,45 @@ def __init__(self, delete_zip_file=False):
         self.delete_zip_file = delete_zip_file
 
     def merge_remote_url(self, file_name: str):
-        fernet = Fernet(self.KEY)
-        token = fernet.decrypt(self.TOKEN).decode()
-        return f"{self.REMOTE_URL}/{file_name}?{token}"
+        """
+        Generate download links.
+
+        Parameters
+        ----------
+        file_name: str
+            The name of the file to be downloaded.
+            The file name can be accompanied by a version number, (e.g.: v2/qlib_data_simple_cn_1d_latest.zip),
+            if no version number is attached, it will be downloaded from v0 by default.
+        """
+        return f"{self.REMOTE_URL}/{file_name}" if "/" in file_name else f"{self.REMOTE_URL}/v0/{file_name}"
+
+    def download(self, url: str, target_path: [Path, str]):
+        """
+        Download a file from the specified url.
+
+        Parameters
+        ----------
+        url: str
+            The url of the data.
+        target_path: str
+            The location where the data is saved, including the file name.
+        """
+        file_name = str(target_path).rsplit("/", maxsplit=1)[-1]
+        resp = requests.get(url, stream=True, timeout=60)
+        resp.raise_for_status()
+        if resp.status_code != 200:
+            raise requests.exceptions.HTTPError()
+
+        chunk_size = 1024
+        logger.warning(
+            f"The data for the example is collected from Yahoo Finance. Please be aware that the quality of the data might not be perfect. (You can refer to the original data source: https://finance.yahoo.com/lookup.)"
+        )
+        logger.info(f"{os.path.basename(file_name)} downloading......")
+        with tqdm(total=int(resp.headers.get("Content-Length", 0))) as p_bar:
+            with target_path.open("wb") as fp:
+                for chunk in resp.iter_content(chunk_size=chunk_size):
+                    fp.write(chunk)
+                    p_bar.update(chunk_size)
 
     def download_data(self, file_name: str, target_dir: [Path, str], delete_old: bool = True):
         """
@@ -70,21 +102,7 @@ def download_data(self, file_name: str, target_dir: [Path, str], delete_old: boo
         target_path = target_dir.joinpath(_target_file_name)
 
         url = self.merge_remote_url(file_name)
-        resp = requests.get(url, stream=True, timeout=60)
-        resp.raise_for_status()
-        if resp.status_code != 200:
-            raise requests.exceptions.HTTPError()
-
-        chunk_size = 1024
-        logger.warning(
-            f"The data for the example is collected from Yahoo Finance. Please be aware that the quality of the data might not be perfect. (You can refer to the original data source: https://finance.yahoo.com/lookup.)"
-        )
-        logger.info(f"{os.path.basename(file_name)} downloading......")
-        with tqdm(total=int(resp.headers.get("Content-Length", 0))) as p_bar:
-            with target_path.open("wb") as fp:
-                for chunk in resp.iter_content(chunk_size=chunk_size):
-                    fp.write(chunk)
-                    p_bar.update(chunk_size)
+        self.download(url=url, target_path=target_path)
 
         self._unzip(target_path, target_dir, delete_old)
         if self.delete_zip_file:
@@ -99,7 +117,9 @@ def check_dataset(self, file_name: str):
         return status
 
     @staticmethod
-    def _unzip(file_path: Path, target_dir: Path, delete_old: bool = True):
+    def _unzip(file_path: [Path, str], target_dir: [Path, str], delete_old: bool = True):
+        file_path = Path(file_path)
+        target_dir = Path(target_dir)
         if delete_old:
             logger.warning(
                 f"will delete the old qlib data directory(features, instruments, calendars, features_cache, dataset_cache): {target_dir}"