diff --git a/README.md b/README.md
index e09c27b..bbed6e0 100644
--- a/README.md
+++ b/README.md
@@ -212,12 +212,12 @@ print(torch.cuda.is_available())
 
 Pretrain数据：
 ```bash
-wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_data.parquet
+wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_i2t.parquet
 ```
 
 SFT数据：
 ```bash
-wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_data.parquet
+wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_i2t.parquet
 ```
 
 建议预留~2GB空间存放数据集，若无多余空间存放pretrain数据，可尝试跳过pretrain训练步骤直接进行sft训练。
diff --git a/README_en.md b/README_en.md
index b262189..67423af 100644
--- a/README_en.md
+++ b/README_en.md
@@ -220,12 +220,12 @@ and place it under `./dataset`.
 
 Pretrain data:
 ```bash
-wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_data.parquet
+wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_i2t.parquet
 ```
 
 SFT data:
 ```bash
-wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_data.parquet
+wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_i2t.parquet
 ```
 
 Please reserve about ~2GB of space for the dataset. If there is insufficient space for pretrain data, you can try skipping the pretrain training step and proceed directly to SFT training.