Flan V2

Flan Collection 将 Flan 2021、P3、Super-Natural Instructions 的数据集以及数十个数据集编译到一个地方，将它们格式化为零样本、少样本和思维链模板的混合体，然后将它们混合在 正如 Scaling Flan 论文和 Flan Collection 论文中针对 Flan-T5 和 Flan-PaLM 所报告的那样，发现在保留的评估基准上取得了很好结果的比例。

The Flan Collection consolidates datasets including Flan 2021, P3, Super-Natural Instructions, and dozens of other datasets into a single unified collection. It formats these datasets into a hybrid template set covering zero-shot, few-shot, and chain-of-thought prompting paradigms, then mixes them according to the mixing ratios reported in the "Scaling Flan" and "Flan Collection" papers for Flan-T5 and Flan-PaLM, achieving strong performance proportions on held-out evaluation benchmarks.

搜集汇总

背景与挑战

背景概述

Flan V2是一个由Google Research于2023年发布的指令微调数据集，整合了Flan 2021、P3和Super-Natural Instructions等多个数据集，并将其格式化为零样本、少样本和思维链模板的混合体。该数据集旨在通过有效的指令微调方法，提升如Flan-T5和Flan-PaLM等模型在保留评估基准上的性能，基于相关论文报告取得了良好结果。