Computer Science > Computation and Language
[Submitted on 5 Apr 2022]
Title:Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
View PDFAbstract: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 this https URL and the full library can be found at this https URL.
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