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PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

2 February 2022
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
Nihal V. Nayak
Abheesht Sharma
Taewoon Kim
M Saiful Bari
Thibault Févry
Zaid Alyafeai
Manan Dey
Andrea Santilli
Zhiqing Sun
Srulik Ben-David
Canwen Xu
Gunjan Chhablani
Han Wang
Jason Alan Fries
Maged S. Al-Shaibani
Shanya Sharma
Urmish Thakker
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
    VLM
ArXiv (abs)PDFHTMLGithub (2865★)
Abstract

PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target output. Using prompts to train and query language models is an emerging area in NLP that requires new tools that let users develop and refine these prompts collaboratively. PromptSource addresses the emergent challenges in this new setting with (1) a templating language for defining data-linked prompts, (2) an interface that lets users quickly iterate on prompt development by observing outputs of their prompts on many examples, and (3) a community-driven set of guidelines for contributing new prompts to a common pool. Over 2,000 prompts for roughly 170 datasets are already available in PromptSource. PromptSource is available at https://github.com/bigscience-workshop/promptsource.

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