QuantumLLMInstruct: A 500k LLM Instruction-Tuning Dataset with Problem-Solution Pairs for Quantum Computing
Dataset Overview
QuantumLLMInstruct (QLMMI) is a groundbreaking dataset designed to fine-tune and evaluate Large Language Models (LLMs) in the domain of quantum computing. This dataset spans 90 primary quantum computing domains and contains over 500,000 rigorously curated instruction-following problem-solution pairs.
The dataset focuses on enhancing reasoning… See the full description on the dataset page: https://huggingface.co/datasets/BoltzmannEntropy/QuantumLLMInstruct.
