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LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing

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arxiv 2105.01992 v1 pith:2JV6ZVQ4 submitted 2021-05-05 cs.AI cs.HC

LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing

classification cs.AI cs.HC
keywords legoevalevaluationdesigndialogueeasilyflexibleopen-sourceresearchers
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present LEGOEval, an open-source toolkit that enables researchers to easily evaluate dialogue systems in a few lines of code using the online crowdsource platform, Amazon Mechanical Turk. Compared to existing toolkits, LEGOEval features a flexible task design by providing a Python API that maps to commonly used React.js interface components. Researchers can personalize their evaluation procedures easily with our built-in pages as if playing with LEGO blocks. Thus, LEGOEval provides a fast, consistent method for reproducing human evaluation results. Besides the flexible task design, LEGOEval also offers an easy API to review collected data.

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