ErAConD (Error Annotated Conversational Dialog Dataset for Grammatical Error Correction)
Introduced by Yuan et al. in ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction
ErAConD is a novel GEC dataset consisting of parallel original and corrected utterances drawn from open-domain chatbot conversations.
We collected 186 dialogs containing 1735 user utterance turns of open-domain dialog data by deploying BlenderBot on Amazon Mechanical Turk (AMT) via LEGOEval.
This dataset is, to our knowledge, the first GEC dataset targeted to a human-machine conversational setting.
Papers
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