chaoswork/sft_datasets

• highreadme#1

  Add a clear introductory sentence to the README

  Why:

  CURRENT

  # 开源SFT数据集整理

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  # 开源SFT数据集整理
  
  这是一个精心整理和持续更新的开源中文SFT（监督微调）数据集索引，旨在为大语言模型（LLM）的训练和研究提供高质量的指令遵循和多轮对话数据集。

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• highlicense#2

  Add a LICENSE file to the repository

  Why:

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  Create a `LICENSE` file in the repository root. For example, for an MIT License, the file content would be: `MIT License
  
  Copyright (c) [YEAR] [COPYRIGHT HOLDER]
  
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.` (Remember to replace `[YEAR]` and `[COPYRIGHT HOLDER]` with appropriate values).

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• mediumhomepage#3

  Add a homepage URL to the repository settings

  Why:

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  Add a relevant URL (e.g., a project page, a blog post, or the GitHub repo URL itself if no external page exists) to the 'Homepage' field in the repository settings.

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Where can I find diverse Chinese datasets for supervised fine-tuning large language models?

  you: not recommended
  AI recommended (in order):

  1. Hugging Face Datasets
  2. CLUE (Chinese Language Understanding Evaluation) Benchmark
  3. C-Eval
  4. COIG (Chinese Open Instruction Generalist)
  5. Belle
  6. WudaoCorpora
  7. OpenDataLab
  8. ChatGLM
  9. Baichuan
  10. Qwen
  11. ACL
  12. EMNLP
  13. NAACL
  14. COLING
  15. NLPCC
  16. CCL
  17. Kaggle

  AI recommended 17 alternatives but never named chaoswork/sft_datasets. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What open-source collections provide Chinese instruction-following datasets for LLM training?

  you: not recommended
  AI recommended (in order):

  1. Belle Datasets
  2. Firefly Datasets
  3. COIG Datasets
  4. MOSS-003-SFT Dataset
  5. PCL-Instruction

  AI recommended 5 alternatives but never named chaoswork/sft_datasets. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of chaoswork/sft_datasets?

  pass
  ✓AI named chaoswork/sft_datasets explicitly

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

• If a team adopts chaoswork/sft_datasets in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named chaoswork/sft_datasets 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 chaoswork/sft_datasets solve, and who is the primary audience?

  pass
  ✓AI named chaoswork/sft_datasets explicitly

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