RRepoGEO

REPOGEO REPORT · LITE

huang1332/finetune_dataset_maker

Default branch main · commit 4b6e2075 · scanned 5/30/2026, 3:37:11 PM

GitHub: 604 stars · 73 forks

AI VISIBILITY SCORE
70 /100
Needs work
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface huang1332/finetune_dataset_maker, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clarify specific focus

    Why:

    CURRENT
    # finetune_dataset_maker
    
    注:新版的openai包改了api接口的用法,要使用现有代码请安装旧版,pip install openai==0.28.0
    
    介绍视频在https://www.bilibili.com/video/BV1mg4y1g718/
    COPY-PASTE FIX
    # finetune_dataset_maker
    
    一个专为ChatGLM设计的微调数据集生成工具,通过GPT API或手动输入,将问题和回答快速整理成ChatGLM所需的JSON格式。
    
    注:新版的openai包改了api接口的用法,要使用现有代码请安装旧版,pip install openai==0.28.0
    
    介绍视频在https://www.bilibili.com/video/BV1mg4y1g718/
  • hightopics#2
    Add relevant topics to improve discoverability

    Why:

    COPY-PASTE FIX
    ChatGLM, finetuning, LLM, dataset-generation, GPT, streamlit, AI-tools
  • mediumhomepage#3
    Add the introductory video link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://www.bilibili.com/video/BV1mg4y1g718/
CATEGORY VISIBILITY UNAVAILABLE

The category visibility step did not produce results for this scan (the LLM may have been unreachable). Re-run the diagnosis to get the full GEO picture.

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of huang1332/finetune_dataset_maker?
    pass
    AI did not name huang1332/finetune_dataset_maker — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts huang1332/finetune_dataset_maker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named huang1332/finetune_dataset_maker explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo huang1332/finetune_dataset_maker solve, and who is the primary audience?
    pass
    AI named huang1332/finetune_dataset_maker explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of huang1332/finetune_dataset_maker. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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huang1332/finetune_dataset_maker — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite