FIPO preference dataset

FIPO preference dataset是由腾讯优图实验室创建的大规模数据集，用于支持自由形式的面向指令的提示优化（FIPO）研究。该数据集包含30000个样本，通过人类专家和分析模型的严格交叉验证精心构建，以确保数据质量。数据集的创建旨在帮助优化大型语言模型在最终用户交互中的表现，通过提供高质量的提示优化样本来提升模型的智能响应能力。FIPO数据集的应用领域广泛，包括但不限于自然语言处理、机器学习和人工智能领域，旨在通过优化提示来提高模型的指令遵循能力和用户交互体验。

The FIPO Preference Dataset is a large-scale dataset developed by Tencent YouTu Lab to support research on free-form instruction-oriented prompt optimization (FIPO). It consists of 30,000 samples, which are meticulously curated through rigorous cross-validation between human experts and analytical models to guarantee high data quality. The dataset is designed to assist in optimizing the performance of large language models (LLMs) during end-user interactions, by providing high-quality prompt optimization samples to improve the models' intelligent response capabilities. The FIPO dataset has broad application domains, including but not limited to natural language processing (NLP), machine learning (ML), and artificial intelligence (AI), with the goal of enhancing the model's instruction-following ability and user interaction experience through prompt optimization.