Update url.md

README.md

@@ -63,9 +63,10 @@ pip install -r requirements.txt
 
 ## 数据集
 `PixelRec:`
-[interaction](http://113.200.138.88:18080/aidatasets/pixelrec/interaction.git)、[iteminfo](http://113.200.138.88:18080/aidatasets/pixelrec/iteminfo.git)
+[interaction](https://drive.google.com/drive/folders/1vR1lgQUZCy1cuhzPkM2q7AsdYRP43feQ?usp=drive_link)、[iteminfo](https://drive.google.com/drive/folders/1rXBM-zi5sSdLHNshXWtGgVReWLuYNgDB?usp=drive_link)
 `Amazon Book Reviews:`
-[HLLM](http://113.200.138.88:18080/aidatasets/bytedance/HLLM.git)
+[HLLM Interactions ](https://huggingface.co/ByteDance/HLLM/resolve/main/Interactions/amazon_books.csv)
+[HLLM Item Information ](https://huggingface.co/ByteDance/HLLM/resolve/main/ItemInformation/amazon_books.csv)
 
 此步骤以`Pixel200K`为例进行使用说明 ，只使用`Pixel200K`即可进行步骤实验。
 
@@ -122,8 +123,6 @@ sh infer.sh
 ### 热点应用行业
 `零售,广媒,金融,通信`
 ## 预训练权重
-预训练权重快速下载中心：[SCNet AIModels](http://113.200.138.88:18080/aimodels) ，项目中的预训练权重可从快速下载通道下载：[HLLM](http://113.200.138.88:18080/aidatasets/bytedance/HLLM.git)
-
 Hugging Face下载地址为：[HLLM](https://huggingface.co/ByteDance/HLLM)
 ## 源码仓库及问题反馈
 - http://developer.sourcefind.cn/codes/modelzoo/HLLM_pytorch.git