Skip to content

docs: add v2.1.0 poster#361

Merged
e06084 merged 2 commits intoMigoXLab:devfrom
e06084:dev
Mar 16, 2026
Merged

docs: add v2.1.0 poster#361
e06084 merged 2 commits intoMigoXLab:devfrom
e06084:dev

Conversation

@e06084
Copy link
Copy Markdown
Collaborator

@e06084 e06084 commented Mar 13, 2026

No description provided.

@gemini-code-assist
Copy link
Copy Markdown
Contributor

Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces documentation for the Dingo v2.1.0 release, focusing on the launch of its new hosted SaaS platform and significant enhancements to the open-source SDK. The new platform allows users to evaluate AI data quality directly in a browser, while the SDK gains advanced features like autonomous fact-checking agents, visual comparison for OCR, and comprehensive RAG evaluation metrics.

Highlights

  • Dingo SaaS Platform Launch: Introduced a hosted SaaS platform for Dingo v2.1.0, enabling AI data quality evaluation directly in the browser without local setup, offering dataset uploads, metric configuration, report viewing, and API key support.
  • Agent-as-a-Judge Feature: Added autonomous evaluation agents with tool access (e.g., ArXiv search, claims extraction) for automated fact-checking in the SDK.
  • VLMRenderJudge for OCR Quality: Implemented VLMRenderJudge, a visual comparison metric that uses a VLM to compare rendered document output against original images to detect OCR parsing errors.
  • Enhanced RAG Evaluation Metrics: Incorporated new built-in metrics for end-to-end RAG quality, including Faithfulness, Context Precision, Context Recall, and Answer Relevancy.
Changelog
  • docs/posts/v2.1.0_hacker_news.md
    • Added content for the Dingo v2.1.0 Hacker News announcement, detailing the SaaS platform and SDK updates.
  • docs/posts/v2.1.0_reddit.md
    • Added content for the Dingo v2.1.0 Reddit announcement, highlighting the SaaS platform, key SDK updates, and quick start instructions.
  • docs/posts/v2.1.0_twitter.md
    • Added content for Dingo v2.1.0 Twitter/X posts, including an English thread, a single English tweet, and a Chinese tweet, summarizing the new SaaS and SDK features.
  • docs/posts/v2.1.0_xiaohongshu.md
    • Added multiple versions of promotional content for Dingo v2.1.0 on Xiaohongshu, covering SaaS and technical aspects, scenario-based usage, and a brief summary in Chinese.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

Copy link
Copy Markdown
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request adds several new markdown files containing promotional content for the v2.1.0 release of Dingo. The content is tailored for different platforms like Hacker News, Reddit, Twitter, and Xiaohongshu. My review focuses on ensuring the correctness and usability of the content. I've found a few instances where URLs are missing the https:// protocol, which could affect their clickability on some platforms. I've provided suggestions to fix these.


🔗 SaaS: https://dingo.openxlab.org.cn/
📦 SDK: pip install dingo-python
⭐ GitHub: github.com/MigoXLab/dingo
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the link is always clickable, it's best to include the https:// protocol for the GitHub URL.

Suggested change
⭐ GitHub: github.com/MigoXLab/dingo
⭐ GitHub: https://github.com/MigoXLab/dingo

Comment on lines +56 to +58
🔗 dingo.openxlab.org.cn
📦 pip install dingo-python
⭐ github.com/MigoXLab/dingo
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the links are always clickable, it's best to include the https:// protocol for the URLs.

Suggested change
🔗 dingo.openxlab.org.cn
📦 pip install dingo-python
⭐ github.com/MigoXLab/dingo
🔗 https://dingo.openxlab.org.cn/
📦 pip install dingo-python
https://github.com/MigoXLab/dingo


Dingo 是一个开源的 AI 数据质量评估框架。v2.1.0 最大的更新:**Dingo SaaS 平台正式上线**,无需本地部署,浏览器里直接评估数据质量。

🔗 平台地址:dingo.openxlab.org.cn
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the link is always clickable, it's best to include the protocol https:// for the URL.

Suggested change
🔗 平台地址:dingo.openxlab.org.cn
🔗 平台地址:https://dingo.openxlab.org.cn/

Comment on lines +30 to +31
平台体验:dingo.openxlab.org.cn
GitHub:github.com/MigoXLab/dingo
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the links are always clickable, it's best to include the https:// protocol for the URLs.

Suggested change
平台体验:dingo.openxlab.org.cn
GitHub:github.com/MigoXLab/dingo
平台体验:https://dingo.openxlab.org.cn/
GitHub:https://github.com/MigoXLab/dingo


之前用 Dingo 做数据质量评估需要本地安装 Python 包。现在不用了。

Dingo SaaS 平台已上线:dingo.openxlab.org.cn
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the link is always clickable, it's best to include the protocol https:// for the URL.

Suggested change
Dingo SaaS 平台已上线:dingo.openxlab.org.cn
Dingo SaaS 平台已上线:https://dingo.openxlab.org.cn/

- RAG 全链路质量指标(忠实度、上下文精度、召回率)
- Excel 导出 + Gradio 交互式界面

公测免费,欢迎体验:dingo.openxlab.org.cn
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the link is always clickable, it's best to include the protocol https:// for the URL.

Suggested change
公测免费,欢迎体验:dingo.openxlab.org.cn
公测免费,欢迎体验:https://dingo.openxlab.org.cn/


**Dingo 2.1.0 | AI 数据质量评估平台正式上线**

SaaS 平台:dingo.openxlab.org.cn
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the link is always clickable, it's best to include the protocol https:// for the URL.

Suggested change
SaaS 平台:dingo.openxlab.org.cn
SaaS 平台:https://dingo.openxlab.org.cn/

- RAG 全链路质量指标

SDK:`pip install dingo-python`
GitHub:MigoXLab/dingo ⭐ 650+
Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

For consistency and to ensure the link is always clickable, it's best to include the https:// protocol for the GitHub URL. Also, the full path is more explicit.

Suggested change
GitHub:MigoXLab/dingo ⭐ 650+
GitHub:https://github.com/MigoXLab/dingo ⭐ 650+

@e06084 e06084 merged commit dc17286 into MigoXLab:dev Mar 16, 2026
2 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant