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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Reposition 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 FIXThis 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#2Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIXhttps://www.cluebenchmarks.com/
- lowreadme#3Clarify the relationship between the corpus and related projects in the README
Why:
COPY-PASTE FIXAdd 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.
- WuDaoCorpora · recommended 1×
- CLUECorpus · recommended 1×
- TencentPretrain · recommended 1×
- Common Crawl · recommended 1×
- cc_net · recommended 1×
- CATEGORY QUERYWhere can I find extensive Chinese text datasets for training large language models?you: not recommendedAI recommended (in order):
- WuDaoCorpora
- CLUECorpus
- TencentPretrain
- Common Crawl
- cc_net
- Wikipedia
- Baidu Baike
- 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 QUERYWhat are good resources for pre-training BERT-like models with Chinese text data?you: not recommendedAI recommended (in order):
- Hugging Face Transformers Library
- DeepSpeed
- Megatron-LM
- PaddlePaddle
- TensorFlow
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
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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