RRepoGEO

REPOGEO REPORT · LITE

huggingface/cosmopedia

Default branch main · commit 653acad4 · scanned 6/6/2026, 2:23:45 PM

GitHub: 570 stars · 49 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 huggingface/cosmopedia, 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
  • highabout#1
    Update the GitHub 'About' description for the repository

    Why:

    COPY-PASTE FIX
    Cosmopedia: The largest open synthetic dataset (30M files, 25B tokens) of textbooks, blogposts, stories, and WikiHow articles, generated by Mixtral-8x7B-Instruct-v0.1, for training large language models.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    synthetic-data, large-language-models, llm-training, dataset, mixtral, nlp, text-generation, research
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/blog/cosmopedia

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 huggingface/cosmopedia
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
EleutherAI/The-Pile
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. EleutherAI/The-Pile · recommended 1×
  2. Common Crawl · recommended 1×
  3. C4 · recommended 1×
  4. jcpeterson/OpenWebText2 · recommended 1×
  5. Wikipedia Dumps · recommended 1×
  • CATEGORY QUERY
    Where can I find a massive synthetic text dataset for training large language models?
    you: not recommended
    AI recommended (in order):
    1. The Pile (EleutherAI/The-Pile)
    2. Common Crawl
    3. C4
    4. OpenWebText2 (jcpeterson/OpenWebText2)
    5. Wikipedia Dumps
    6. BookCorpus
    7. GPT-3.5 Turbo
    8. GPT-4

    AI recommended 8 alternatives but never named huggingface/cosmopedia. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good sources for diverse synthetic content like articles and stories for NLP research?
    you: not recommended
    AI recommended (in order):
    1. GPT-3 / GPT-4 (OpenAI API)
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. EleutherAI's GPT-NeoX-20B / Pythia Models
    4. AI Dungeon / NovelAI
    5. Text-to-Text Transfer Transformer (T5)
    6. Fairseq (facebookresearch/fairseq)

    AI recommended 6 alternatives but never named huggingface/cosmopedia. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 huggingface/cosmopedia?
    pass
    AI named huggingface/cosmopedia explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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huggingface/cosmopedia — 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