diff --git a/lectures/pandas_panel.md b/lectures/pandas_panel.md
index 260f9db..b349146 100644
--- a/lectures/pandas_panel.md
+++ b/lectures/pandas_panel.md
@@ -81,7 +81,7 @@ sns.set_theme()
 مجموعه داده با لینک زیر قابل دسترسی است:
 
 ```{code-cell} ipython3
-url1 = 'https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/realwage.csv'
+url1 = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/realwage.csv'
 ```
 
 ```{code-cell} ipython3
@@ -183,7 +183,7 @@ realwage_f.head()
 مجموعه داده با لینک زیر قابل دسترسی است:
 
 ```{code-cell} ipython3
-url2 = 'https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/countries.csv'
+url2 = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/countries.csv'
 ```
 
 ```{code-cell} ipython3
@@ -451,7 +451,7 @@ plt.show()
 مجموعه داده با لینک زیر قابل دسترسی است:
 
 ```{code-cell} ipython3
-url3 = 'https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/employ.csv'
+url3 = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/employ.csv'
 ```
 
 خواندن فایل CSV یک مجموعه داده پانلی در فرمت طولانی را برمی‌گرداند. از `.pivot_table()` برای ساخت یک dataframe با فرمت عریض با یک `MultiIndex` در ستون‌ها استفاده کنید.
diff --git a/lectures/polars.md b/lectures/polars.md
index abd4378..dca820f 100644
--- a/lectures/polars.md
+++ b/lectures/polars.md
@@ -359,9 +359,7 @@ plt.show()
 
 ```{code-cell} ipython3
 # Reload the dataset
-url = ('https://raw.githubusercontent.com/QuantEcon/'
-       'lecture-python-programming/main/lectures/_static/'
-       'lecture_specific/pandas/data/test_pwt.csv')
+url = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/test_pwt.csv'
 df_full = pl.read_csv(url)
 ```
 
@@ -437,9 +435,7 @@ import pandas as pd
 import time
 
 # Small dataset -- Penn World Tables (~8 rows)
-url = ('https://raw.githubusercontent.com/QuantEcon/'
-       'lecture-python-programming/main/lectures/_static/'
-       'lecture_specific/pandas/data/test_pwt.csv')
+url = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/test_pwt.csv'
 small_pd = pd.read_csv(url)
 small_pl = pl.read_csv(url)
 ```