RRepoGEO

REPOGEO REPORT · LITE

brightmart/nlp_chinese_corpus

Default branch master · commit 5dc87215 · scanned 6/29/2026, 11:13:09 AM

GitHub: 9,905 stars · 1,555 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 brightmart/nlp_chinese_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 core purpose

    Why:

    CURRENT
    #### 为中文自然语言处理领域发展贡献语料
    
    SuperCLUE官网更新(2026-02-06): <a href='https://www.superclueai.com/' target="__blank">www.SuperClueAI.com</a>
    
    中文大模型基准测评2025年年度报告(New!):<a href='https://www.cluebenchmarks.com/superclue_2025' target="__blank">中文大模型基准测评2025年年度报告</a>
    
    State Of Chinese AI 2025(New!):<a href='https://www.cluebenchmarks.com/superclue_2025_en' target="__blank">State Of Chinese AI 2025</a>
    
    update 中文任务基准测评,10大任务 & 9个模型一键运行、详细测评:
    
    Language Understanding Evaluation benchmark for Chinese(<a href='https://www.CLUEbenchmarks.com'>CLUE benchmark<a/>): run 10 tasks & 9 baselines with one line of code, performance comparision with details.
        
    Releasing Pre-trained Model of <a href="https://github.com/brightmart/albert_zh">ALBERT_Chinese</a>:
    COPY-PASTE FIX
    This repository provides a comprehensive collection of large-scale Chinese natural language processing (NLP) corpora, designed to support the training and development of various NLP models, including BERT-like architectures. It aims to contribute to the advancement of Chinese NLP by offering readily available, high-quality datasets.
    
    #### 为中文自然语言处理领域发展贡献语料
    
    SuperCLUE官网更新(2026-02-06): <a href='https://www.superclueai.com/' target="__blank">www.SuperClueAI.com</a>
    
    中文大模型基准测评2025年年度报告(New!):<a href='https://www.cluebenchmarks.com/superclue_2025' target="__blank">中文大模型基准测评2025年年度报告</a>
    
    State Of Chinese AI 2025(New!):<a href='https://www.cluebenchmarks.com/superclue_2025_en' target="__blank">State Of Chinese AI 2025</a>
    
    update 中文任务基准测评,10大任务 & 9个模型一键运行、详细测评:
    
    Language Understanding Evaluation benchmark for Chinese(<a href='https://www.CLUEbenchmarks.com'>CLUE benchmark<a/>): run 10 tasks & 9 baselines with one line of code, performance comparision with details.
        
    Releasing Pre-trained Model of <a href="https://github.com/brightmart/albert_zh">ALBERT_Chinese</a>:
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://www.cluebenchmarks.com/
  • lowreadme#3
    Clarify the relationship between the corpus and related projects in the README

    Why:

    COPY-PASTE FIX
    Add a new section, for example, after the corpus list, titled '### Related Projects and Benchmarks' with content like: 'This corpus is suitable for use with projects like [CLUE benchmark](https://www.CLUEbenchmarks.com) and was used in the development of [ALBERT_Chinese](https://github.com/brightmart/albert_zh).'

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 brightmart/nlp_chinese_corpus
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
WuDaoCorpora
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. WuDaoCorpora · recommended 1×
  2. CLUECorpus · recommended 1×
  3. TencentPretrain · recommended 1×
  4. Common Crawl · recommended 1×
  5. cc_net · recommended 1×
  • CATEGORY QUERY
    Where can I find extensive Chinese text datasets for training large language models?
    you: not recommended
    AI recommended (in order):
    1. WuDaoCorpora
    2. CLUECorpus
    3. TencentPretrain
    4. Common Crawl
    5. cc_net
    6. Wikipedia
    7. Baidu Baike
    8. Sogou News Corpus

    AI recommended 8 alternatives but never named brightmart/nlp_chinese_corpus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for pre-training BERT-like models with Chinese text data?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. DeepSpeed
    3. Megatron-LM
    4. PaddlePaddle
    5. TensorFlow
    6. FairSeq

    AI recommended 6 alternatives but never named brightmart/nlp_chinese_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
    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 brightmart/nlp_chinese_corpus?
    pass
    AI did not name brightmart/nlp_chinese_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 brightmart/nlp_chinese_corpus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named brightmart/nlp_chinese_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 brightmart/nlp_chinese_corpus solve, and who is the primary audience?
    pass
    AI named brightmart/nlp_chinese_corpus explicitly

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

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brightmart/nlp_chinese_corpus — 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