RRepoGEO

REPOGEO REPORT · LITE

liucongg/NLPDataSet

Default branch main · commit 978d2ea7 · scanned 5/14/2026, 8:08:54 AM

GitHub: 1,091 stars · 134 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 liucongg/NLPDataSet, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    chinese-nlp, nlp-datasets, named-entity-recognition, ner-datasets, text-summarization, question-answering, text-similarity, bio-tagging, preprocessed-datasets, machine-learning-datasets
  • highabout#2
    Update the repository description

    Why:

    CURRENT
    记录本人整理的一些数据集
    COPY-PASTE FIX
    A curated collection of pre-processed Chinese NLP datasets for various tasks, including NER, text summarization, QA, and text similarity, with unified BIO tags.
  • mediumreadme#3
    Refine the README's opening sentence for clarity and keywords

    Why:

    CURRENT
    大家好，我是刘聪NLP。本项目为本人收集并整理的一些数据集，目前包括中文摘要数据集、中文片段抽取式阅读理解数据集（QA）、中文文本相似度数据集和中文NER数据集。
    COPY-PASTE FIX
    This repository, maintained by Liu Cong NLP, provides a curated collection of pre-processed Chinese NLP datasets. It includes diverse datasets for tasks such as Named Entity Recognition (NER), text summarization, extractive question answering (QA), and text similarity, often with unified BIO tags.

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 liucongg/NLPDataSet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/datasets
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/datasets · recommended 1×
  2. CLUE Benchmark · recommended 1×
  3. THUCNews · recommended 1×
  4. LDC · recommended 1×
  5. NLPCC Shared Tasks · recommended 1×
  • CATEGORY QUERY
    Where can I find diverse pre-processed Chinese datasets for various NLP tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Datasets (huggingface/datasets)
    2. CLUE Benchmark
    3. THUCNews
    4. LDC
    5. NLPCC Shared Tasks
    6. Fudan University Chinese Text Classification Dataset
    7. Academia Sinica Balanced Corpus of Modern Chinese

    AI recommended 7 alternatives but never named liucongg/NLPDataSet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for comprehensive, cleaned Chinese named entity recognition datasets with unified BIO tags.
    you: not recommended
    AI recommended (in order):
    1. OntoNotes 5.0 (Chinese portion)
    2. MSRA (Microsoft Research Asia) NER Dataset
    3. People's Daily (人民日报) NER Dataset
    4. Weibo NER Dataset
    5. Resume NER Dataset
    6. CCKS 2017/2018/2019 NER Datasets

    AI recommended 6 alternatives but never named liucongg/NLPDataSet. 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 liucongg/NLPDataSet?
    pass
    AI named liucongg/NLPDataSet explicitly

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

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