update prepare.sh and readme

doc/doc_ch/algorithm_rec_can.md

@@ -55,7 +55,7 @@ python3 -m paddle.distributed.launch --gpus '0,1,2,3'  tools/train.py -c configs
 ```
 
 **注意：**
-- 我们提供的数据集，即`CROHME数据集`将手写公式存储为黑底白字的格式，若您自行准备的数据集与之相反，即以白底黑字模式存储，请在训练时做出如下修改
+- 我们提供的数据集，即[`CROHME数据集`](https://paddleocr.bj.bcebos.com/dataset/CROHME.tar)将手写公式存储为黑底白字的格式，若您自行准备的数据集与之相反，即以白底黑字模式存储，请在训练时做出如下修改
 ```
 python3 tools/train.py -c configs/rec/rec_d28_can.yml
 -o Train.dataset.transforms.GrayImageChannelFormat.inverse=False

test_tipc/prepare.sh

@@ -146,7 +146,7 @@ if [ ${MODE} = "lite_train_lite_infer" ];then
     python_name=${array[0]}
     ${python_name} -m pip install -r requirements.txt
     ${python_name} -m pip install https://paddleocr.bj.bcebos.com/libs/auto_log-1.2.0-py3-none-any.whl
-    ${python_name} -m pip install paddleslim==2.3.4
+    ${python_name} -m pip install paddleslim
     # pretrain lite train data
     wget -nc -P  ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams  --no-check-certificate
     wget -nc -P ./pretrain_models/  https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar  --no-check-certificate