[Doc] Update README (#1404)

* [Doc] Update README

* Update

README.md

@@ -138,6 +138,10 @@ pip install -e .
 
 ### 📂 Data Preparation
 
+You can choose one for the following method to prepare datasets.
+
+#### Offline Preparation
+
 You can download and extract the datasets with the following commands:
 
 ```bash
@@ -146,12 +150,19 @@ wget https://github.com/open-compass/opencompass/releases/download/0.2.2.rc1/Ope
 unzip OpenCompassData-core-20240207.zip
 ```
 
-Also, use the [ModelScope](www.modelscope.cn) to load the datasets on demand.
+#### Automatic Download from OpenCompass
+
+We have supported download datasets automatic from the OpenCompass storage server. You can run the evaluation with extra `--dry-run` to download these datasets.
+Currently, the supported datasets are listed in [here](https://github.com/open-compass/opencompass/blob/main/opencompass/utils/datasets_info.py#L259). More datasets will be uploaded recently.
+
+#### (Optional) Automatic Download with ModelScope
+
+Also you can use the [ModelScope](www.modelscope.cn) to load the datasets on demand.
 
 Installation:
 
 ```bash
-pip install modelscope
+pip install modelscope[framework]
 export DATASET_SOURCE=ModelScope
 ```
 

README_zh-CN.md

@@ -140,6 +140,8 @@ pip install -e .
 
 ### 📂 数据准备
 
+#### 提前离线下载
+
 OpenCompass支持使用本地数据集进行评测，数据集的下载和解压可以通过以下命令完成：
 
 ```bash
@@ -148,6 +150,13 @@ wget https://github.com/open-compass/opencompass/releases/download/0.2.2.rc1/Ope
 unzip OpenCompassData-core-20240207.zip
 ```
 
+#### 从 OpenCompass 自动下载
+
+我们已经支持从OpenCompass存储服务器自动下载数据集。您可以通过额外的 `--dry-run` 参数来运行评估以下载这些数据集。
+目前支持的数据集列表在[这里](https://github.com/open-compass/opencompass/blob/main/opencompass/utils/datasets_info.py#L259)。更多数据集将会很快上传。
+
+#### (可选) 使用 ModelScope 自动下载
+
 另外，您还可以使用[ModelScope](www.modelscope.cn)来加载数据集：
 环境准备：
 

opencompass/runners/volc.py

@@ -222,7 +222,7 @@ def _run_task(self, cmd, log_path, poll_interval):
                     f.write(logs)
                 if task_status in [
                         'Success', 'Failed', 'Cancelled', 'Exception',
-                        'Killing'
+                        'Killing', 'SuccessHolding', 'FailedHolding'
                 ]:
                     break
                 time.sleep(poll_interval)