diff --git a/lectures/inequality.md b/lectures/inequality.md
index b89fc98..1f55115 100644
--- a/lectures/inequality.md
+++ b/lectures/inequality.md
@@ -605,7 +605,7 @@ df_income_wealth.year.describe()
 [此笔记本](https://github.com/QuantEcon/lecture-python-intro/tree/main/lectures/_static/lecture_specific/inequality/data.ipynb) 可以用于计算整个数据集中的此信息。
 
 ```{code-cell} ipython3
-data_url = 'https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/inequality/usa-gini-nwealth-tincome-lincome.csv'
+data_url = 'https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/usa-gini-nwealth-tincome-lincome.csv'
 ginis = pd.read_csv(data_url, index_col='year')
 ginis.head(n=5)
 ```
diff --git a/lectures/simple_linear_regression.md b/lectures/simple_linear_regression.md
index 4469f24..dd9af46 100644
--- a/lectures/simple_linear_regression.md
+++ b/lectures/simple_linear_regression.md
@@ -418,12 +418,12 @@ plt.vlines(df['X'], df['Y_hat'], df['Y'], color='r');
 <iframe src="https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita" loading="lazy" style="width: 100%; height: 600px; border: 0px none;"></iframe>
 :::
 
-如果你遇到困难，可以从这里下载{download}`数据副本 <https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/simple_linear_regression/life-expectancy-vs-gdp-per-capita.csv>`
+如果你遇到困难，可以从这里下载{download}`数据副本 <https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/life-expectancy-vs-gdp-per-capita.csv>`
 
 **第3问：** 使用`pandas`导入`csv`格式的数据并绘制几个感兴趣的国家的图表
 
 ```{code-cell} ipython3
-data_url = "https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/simple_linear_regression/life-expectancy-vs-gdp-per-capita.csv"
+data_url = "https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/life-expectancy-vs-gdp-per-capita.csv"
 df = pd.read_csv(data_url, nrows=10)
 ```