Datasets › ErAConD
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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
MIT License
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- ErAConD
1 variant name, as the archive lists them.
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