Download script issue

Unable to download the file after n=30
For example:

python download.py --download_folder=MVimages_full --data_name=MVImgNet_origin --skip_first_n=30

terminal output:
LAYER 0: Fetching initial URL: https://cuhko365.sharepoint.com/:f:/s/GAP_Lab_MVImgNet/Eqr0CanUxwhMqCuEqgZ7ZlgBq96EGddlT_WrgLIlZWhyWA?e=p31m4o
LAYER 0: Redirect URL: https://cuhko365.sharepoint.com/sites/GAP_Lab_MVImgNet/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FGAP_Lab_MVImgNet%2FShared%20Documents%2FMVImgNet_Release%2FMVImgNet_origin&p=true&ga=1
LAYER 0: Query parameters: {'id': '/sites/GAP_Lab_MVImgNet/Shared Documents/MVImgNet_Release/MVImgNet_origin', 'p': 'true', 'ga': '1'}
LAYER 0: Extracted siteAbsoluteUrl: https://cuhko365.sharepoint.com/sites/GAP_Lab_MVImgNet
LAYER 0: Extracted listUrl: /sites/GAP_Lab_MVImgNet/Shared Documents
LAYER 0: Extracted formDigestValue: Present
LAYER 0: Using list_server_relative_url_for_gql: /sites/GAP_Lab_MVImgNet/Shared Documents
LAYER 0: Using current_folder_server_relative_url: /sites/GAP_Lab_MVImgNet/Shared Documents/MVImgNet_Release/MVImgNet_origin
LAYER 0: GraphQL API Endpoint: https://cuhko365.sharepoint.com/sites/GAP_Lab_MVImgNet/_api/v2.1/graphql
LAYER 0: Pagination request URL (first 150): https://cuhko365.sharepoint.com/sites/GAP_Lab_MVImgNet/_api/web/GetListUsingPath(DecodedUrl='/sites/GAP_Lab_MVImgNet/Shared Documents')/RenderListData
LAYER 0: Error in pagination response: {"code": "-1, Microsoft.SharePoint.WebPartPages.DataFormWebPartException", "message": {"lang": "zh-CN", "value": "XmlDefinition \u5c5e\u6027\u5305\u542b\u65e0\u6548 XML\u3002"}}

And then script ends without downloading.
Maybe there are problems with GraphQL page limit?

Start with download.py and reproduce the reported command using --skip_first_n=30. Trace the pagination request through the RenderListData response, including the SharePoint XML error shown in the report. Done means the script proceeds past n=30 and downloads the requested files, or reports a clear actionable failure.

Written by the indexing model from the issue text.