REPOGEO REPORT · LITE

wainshine/Chinese-Names-Corpus

Default branch master · commit 47d4af8d · scanned 5/12/2026, 6:37:43 AM

GitHub: 4,291 stars · 1,008 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 wainshine/Chinese-Names-Corpus, 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 clearly state the repo's purpose

Why:

COPY-PASTE FIX

# 中文人名语料库（Chinese-Names-Corpus）

本仓库提供一个大规模、多语言的人名语料库，包含中文、日文、英文姓名、姓氏、名字及称呼数据，并集成人名生成器。它可广泛应用于中文分词、人名实体识别、数据分析及各类NLP任务。

**关于萌名（NameMoe）**

萌名是一个基于大数据和自然语言处理技术的新取名产品。

mediumtopics#2
Add specific topics for name generation and language
Why:
CURRENT
```
corpus, dataset, dict, names, ner
```
COPY-PASTE FIX
```
corpus, dataset, dict, names, ner, name-generator, chinese-names, nlp
```

lowabout#3

Refine the repository description for clarity and breadth

Why:

CURRENT

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

COPY-PASTE FIX

大规模多语言人名语料库，包含中文、日文、英文姓名、姓氏、名字及称呼数据，并集成人名生成器。适用于中文分词、人名实体识别、数据分析及各类NLP任务。

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 wainshine/Chinese-Names-Corpus

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LDC (Linguistic Data Consortium) Chinese Name Databases

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LDC (Linguistic Data Consortium) Chinese Name Databases · recommended 1×
Baidu Baike / Wikipedia Dumps · recommended 1×
CC-CEDICT (Chinese-English Dictionary) · recommended 1×
Hundred Family Surnames (百家姓) · recommended 1×
Google Scholar · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive dataset of Chinese names for NLP tasks?
you: not recommended
AI recommended (in order):
1. LDC (Linguistic Data Consortium) Chinese Name Databases
2. Baidu Baike / Wikipedia Dumps
3. CC-CEDICT (Chinese-English Dictionary)
4. Hundred Family Surnames (百家姓)
5. Google Scholar
6. arXiv
7. Hugging Face Datasets
8. OntoNotes
9. GitHub Repositories
AI recommended 9 alternatives but never named wainshine/Chinese-Names-Corpus. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools are available to generate realistic names across different languages?
you: not recommended
AI recommended (in order):
1. Fake Name Generator
2. Nameberry
3. Fantasy Name Generators
4. Behind the Name
5. Random Name Generator
6. ChatGPT
7. GPT-4
AI recommended 7 alternatives but never named wainshine/Chinese-Names-Corpus. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 wainshine/Chinese-Names-Corpus?
pass
AI did not name wainshine/Chinese-Names-Corpus — 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 wainshine/Chinese-Names-Corpus in production, what risks or prerequisites should they evaluate first?
pass
AI named wainshine/Chinese-Names-Corpus 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 wainshine/Chinese-Names-Corpus solve, and who is the primary audience?
pass
AI did not name wainshine/Chinese-Names-Corpus — 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?

Embed your GEO score

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MARKDOWN (README)

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HTML

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