Making Pre-trained Language Models Better Few-shot Learners
Paper • 2012.15723 • Published
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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.
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