Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks

July 10, 2023

Abstract

We introduce Dynatask: an open source system for setting up custom NLP tasks that aims to greatly lower the technical knowledge and effort required for hosting and evaluating state-of-the-art NLP models, as well as for conducting model in the loop data collection with crowdworkers. Dynatask is integrated with Dynabench, a research platform for rethinking benchmarking in AI that facilitates human and model in the loop data collection and evaluation. To create a task, users only need to write a short task configuration file from which the relevant web interfaces and model hosting infrastructure are automatically generated. The system is available at https://dynabench.org/ and the full library can be found at https://github.com/facebookresearch/dynabench.

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AUTHORS

Written by

Tristan Thrush

Kushal Tirumala

Anmol Gupta

Max Bartolo

Pedro Rodriguez

Tariq Kane

William Gaviria Rojas

Peter Mattson

Adina Williams

Douwe Kiela

Publisher

ACL

Research Topics

Human & Machine Intelligence

Natural Language Processing (NLP)

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