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This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-alpaca_instructions
This dataset contains 52,000 instruction-following examples generated by OpenAI's text-davinci-003 engine using the Self-Instruct framework. Each sample consists of a prompt providing a specific task, such as writing, classification, or rewriting, paired with a high-quality completion. It is designed specifically for instruction-tuning language models to improve their ability to follow diverse user commands.
Dataset size
There are 22,155 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is B, with a relative quality improvement of 48.0%.
Domain
- Writing-editing-communication (20%)
- Math (10%)
- Language (8%)
Language
- English (100%)
Tone
- Informative (28%)
- Clear (14%)
- Creative (8%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
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