Instruction data
Instruction data is a collection of examples pairing instructions or prompts with desired responses for training or adapting models to follow instructions.
Reinforcement Learning from Human Feedback
An instruction dataset is a collection of prompts or instructions paired with target responses for supervised model adaptation.
- How it is used
- Feeds supervised fine-tuning directly on top of a base model to establish general, reasoning, or task-specific response behavior.
- How deep it goes
- Defines prompt–completion pairs and formalizes iterative constitutional critique, but does not detail the supervised-learning objective.
- Examples
- Uses constitutional critiques, Alpaca, Tülu 3, OpenThoughts 3, reasoning problems, and general queries as data examples.
- What you can do after
- Apply it via supervised fine-tuning to adapt a base model before preference optimization or reinforcement learning.
Read how Reinforcement Learning from Human Feedback explains instruction data →
The Art of AI Product Development
An instruction dataset is a collection of examples pairing user instructions with source content and desired responses or revisions.
- How it is used
- Teaches language models to follow iterative content-editing instructions in realistic product workflows.
- How deep it goes
- Defines collection, pairing, and balancing steps, but stops short of explaining training mechanics.
- Examples
- Uses tone formalization, example addition, language simplification, shortening, and content restructuring as paired editing tasks.
- What you can do after
- Build it from scratch by collecting drafts, documenting revisions, pairing inputs with targets, and balancing instruction complexity.
Read how The Art of AI Product Development explains instruction data →
Related concepts
- fine-tuningused by · Fine-tuning is adapting a pretrained machine-learning model by training it further on targeted data or objectives for a task, domain, or behavior.
- post-trainingused by · Post-training is the additional training and adaptation of a pretrained model to improve its capabilities, behavior, alignment, or usefulness for particular tasks.
- datasetkind of · A dataset is an organized collection of related data items, records, or observations treated as a unit for storage, processing, analysis, or computation.
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