Alpaca

Dataset Card for Alpaca Dataset Summary Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better. The authors built on the data ge

Papers using Alpaca (10)

Challenges In Adapting Multilingual Llms To Low-resource Languages Using Lora PEFT Tuning2024 · 20 citesTask--Specificity Score: Measuring How Much Instructions Really Matter for Supervision2026Too Helpful, Too Harmless, Too Honest or Just Right?2025We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong2025Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning2025DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors2025ReviewInstruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models2025One Task Vector is not Enough: A Large-Scale Study for In-Context Learning2025Call for Rigor in Reporting Quality of Instruction Tuning Data2025RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars2025