FewGLUE_32dev/README.md

FewGLUE_32dev

This repository contains the FewGLUE_32dev dataset, an extension of the FewGLUE, which enables NLU few-shot learning tasks to be benchmarked under a new 32-sample-dev setting. It has been proved in previous work that using larger development sets confer a significant advantage beyond few-shot. FewGLUE_32dev is built by adding additional few-shot dev sets with 32 examples randomly selected from the original/unused SuperGLUE training sets.

Data Format

The data files follow the exact same format as SuperGLUE task files.

Structure

For each SuperGLUE task T, the directory FewGLUE_32dev/T contains the 32-sample-dev file (dev32.jsonl), which consists of 32 examples for few-shot validation.

To perform few-shot learning under 32-dev setting, the following files are also required, including the FewGLUE train files (train.jsonl)[download], and the SuperGLUE validation/test files (val.jsonl/test.jsonl)[download].