RRepoGEO

REPOGEO REPORT · LITE

mira-space/MiraData

Default branch v1 · commit 7ad05795 · scanned 6/8/2026, 1:53:15 AM

GitHub: 524 stars · 16 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 mira-space/MiraData, 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

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

OVERALL DIRECTION
  • highabout#1
    Refine the 'About' description for clarity

    Why:

    CURRENT
    Official repo for paper "MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions"
    COPY-PASTE FIX
    MiraData: A large-scale video dataset with long durations and structured captions, specifically designed for training long video generation models. Official repository for the research paper.
  • mediumreadme#2
    Strengthen the README's introductory sentence in the 'Introduction' section

    Why:

    CURRENT
    Video datasets play a crucial role in video generation such as Sora.
    COPY-PASTE FIX
    MiraData is a novel large-scale video dataset specifically designed to address the limitations of existing datasets for long video generation tasks, featuring long durations and structured captions.

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 mira-space/MiraData
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
WebVid-10M
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. WebVid-10M · recommended 1×
  2. HD-VILA-100M · recommended 1×
  3. InternVid · recommended 1×
  4. YouTube-8M · recommended 1×
  5. Kinetics-700 · recommended 1×
  • CATEGORY QUERY
    Where can I find a large-scale video dataset for training long video generation models?
    you: not recommended
    AI recommended (in order):
    1. WebVid-10M
    2. HD-VILA-100M
    3. InternVid
    4. YouTube-8M
    5. Kinetics-700
    6. Kinetics-600
    7. Kinetics-400
    8. Moments in Time

    AI recommended 8 alternatives but never named mira-space/MiraData. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What datasets provide structured captions and support long video sequence generation with temporal consistency?
    you: not recommended
    AI recommended (in order):
    1. Something-Something V2
    2. ActivityNet Captions
    3. YouCook2
    4. Kinetics-700 / Kinetics-600 / Kinetics-400
    5. WebVid-10M / WebVid-2.5M
    6. MSR-VTT

    AI recommended 6 alternatives but never named mira-space/MiraData. 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 mira-space/MiraData?
    pass
    AI named mira-space/MiraData explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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