RRepoGEO

REPOGEO REPORT · LITE

esbatmop/MNBVC

Default branch main · commit 14b0a9c5 · scanned 5/24/2026, 6:27:25 AM

GitHub: 4,199 stars · 289 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 esbatmop/MNBVC, 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 core value proposition in the README's opening

    Why:

    CURRENT
    # MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集

## 请媒体朋友们不要报道我们，让我们有更长久的时间可以收集整理数据。我们最怕捧杀了，您让我们保持低调，就是对中文算法圈做了大的贡献!
    COPY-PASTE FIX
    # MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集

MNBVC是一个超大规模中文语料集，旨在对标ChatGPT等大型语言模型训练所需的40T数据量。它涵盖了主流及小众文化，包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等多种形式的纯文本中文数据。

## 请媒体朋友们不要报道我们，让我们有更长久的时间可以收集整理数据。我们最怕捧杀了，您让我们保持低调，就是对中文算法圈做了大的贡献!
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/datasets/liwu/MNBVC
  • lowtopics#3
    Add specific LLM-related topics

    Why:

    CURRENT
    chinese, chinese-language, chinese-nlp, chinese-simplified, corpus-data, nlp, nlp-machine-learning
    COPY-PASTE FIX
    chinese, chinese-language, chinese-nlp, chinese-simplified, corpus-data, nlp, nlp-machine-learning, llm, large-language-models

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface esbatmop/MNBVC
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Common Crawl
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Common Crawl · recommended 2×
  2. WuDaoCorpora · recommended 1×
  3. CLUECorpus · recommended 1×
  4. Chinese Wikipedia Dump · recommended 1×
  5. Baidu Baike Dump · recommended 1×
  • CATEGORY QUERY
    Where can I find a very large, diverse Chinese text corpus for training LLMs?
    you: not recommended
    AI recommended (in order):
    1. WuDaoCorpora
    2. CLUECorpus
    3. Common Crawl
    4. Chinese Wikipedia Dump
    5. Baidu Baike Dump
    6. Tencent AI Lab Chinese Corpus
    7. OpenWebText

    AI recommended 7 alternatives but never named esbatmop/MNBVC. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources for a comprehensive, multi-genre Chinese language dataset?
    you: not recommended
    AI recommended (in order):
    1. LDC (Linguistic Data Consortium)
    2. Common Crawl
    3. Baidu Encyclopedia (百度百科)
    4. Sogou Encyclopedia (搜狗百科)
    5. Tencent AI Lab's Chinese Corpus
    6. OpenSubtitles
    7. CLUE Benchmark (Chinese Language Understanding Evaluation)
    8. Wikipedia (Chinese)

    AI recommended 8 alternatives but never named esbatmop/MNBVC. This is the gap to close.

    Show full AI answer

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 esbatmop/MNBVC?
    pass
    AI named esbatmop/MNBVC explicitly

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

  • If a team adopts esbatmop/MNBVC in production, what risks or prerequisites should they evaluate first?
    pass
    AI named esbatmop/MNBVC 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 esbatmop/MNBVC solve, and who is the primary audience?
    pass
    AI named esbatmop/MNBVC explicitly

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

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esbatmop/MNBVC — 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