jianzhnie/awesome-instruction-datasets

• highreadme#1

  Reposition the README's opening to clarify it's a collection of datasets

  Why:

  CURRENT

  # Awesome Instruction Datasets

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  # Awesome Instruction Datasets
  
  This repository is a curated collection of high-quality instruction datasets and prompt datasets, specifically compiled for training and fine-tuning conversational Large Language Models (LLMs) such as ChatGPT and Llama.

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• mediumreadme#2

  Clarify the repository description to emphasize its role as a collection

  Why:

  CURRENT

  A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。

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  A comprehensive and curated collection of awesome instruction datasets and prompt datasets, specifically compiled for training and fine-tuning conversational Large Language Models (LLMs) such as ChatGPT and Llama.

  OpenDoneDismiss
• lowtopics#3

  Add 'awesome-list' and 'collection' topics

  Why:

  CURRENT

  chatgpt, datasets, instruction, llama, llm, prompts, self-instruct

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  awesome-list, collection, chatgpt, datasets, instruction, llama, llm, prompts, self-instruct

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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 instruction datasets to fine-tune a conversational large language model?

  you: not recommended
  AI recommended (in order):

  1. Alpaca (Stanford Alpaca) (tatsu-lab/stanford_alpaca)
  2. ShareGPT (OpenAssistant Conversations Dataset) (LAION-AI/Open-Assistant)
  3. Dolly 2.0 (Databricks Dolly 2.0) (databrickslabs/dolly)
  4. FLAN (Fine-tuned LAnguage Net)
  5. CoT (Chain-of-Thought) Datasets
  6. Super-NaturalInstructions (declare-lab/super-natural-instructions)
  7. WizardLM (Evol-Instruct) (nlpx-ucb/WizardLM)

  AI recommended 7 alternatives but never named jianzhnie/awesome-instruction-datasets. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  I need high-quality prompt datasets for developing a chat-based AI assistant.

  you: not recommended
  AI recommended (in order):

  1. ShareGPT (ShareGPT/ShareGPT_V3_unfiltered_cleaned_split)
  2. Alpaca (tatsu-lab/stanford_alpaca)
  3. OpenAssistant Conversations Dataset (OASST1) (LAION-AI/Open-Assistant)
  4. Dolly 2.0 (databrickslabs/dolly)
  5. FLAN
  6. ELI5 (facebookresearch/ELI5)
  7. SQuAD (rajpurkar/SQuAD-explorer)

  AI recommended 7 alternatives but never named jianzhnie/awesome-instruction-datasets. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of jianzhnie/awesome-instruction-datasets?

  pass
  ⚠AI did not name jianzhnie/awesome-instruction-datasets — 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 jianzhnie/awesome-instruction-datasets in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named jianzhnie/awesome-instruction-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 jianzhnie/awesome-instruction-datasets solve, and who is the primary audience?

  pass
  ⚠AI did not name jianzhnie/awesome-instruction-datasets — 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?