Alpaca Dataset
by Stanford University · open-source · Last verified 2026-03-17
Stanford Alpaca's 52,000 instruction-following examples generated using the self-instruct technique applied to GPT-3.5 (text-davinci-003). This foundational dataset enabled the creation of the Alpaca 7B model and popularized cost-effective instruction-tuning approaches.
https://github.com/tatsu-lab/stanford_alpaca ↗B+
B+—Good
Adoption: AQuality: B+Freshness: BCitations: A+Engagement: F
Specifications
- License
- CC-BY-NC-4.0
- Pricing
- open-source
- Capabilities
- instruction-tuning, self-instruct
- Integrations
- huggingface-datasets
- Use Cases
- fine-tuning, instruction-following, research
- API Available
- No
- Tags
- instruction-following, self-instruct, stanford, gpt-generated
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
73Adoption
88
Quality
74
Freshness
62
Citations
92
Engagement
0
Put AI to work for your business
Deploy this dataset alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.