Datasets › MegaAcceptability
MegaAcceptability
The MegaAcceptability dataset is a collection of ordinal acceptability judgments for clause-embedding verbs of English in various surface-syntactic frames and matrix tenses. Here are some key details: - It includes judgments for 1,007 clause-embedding verbs of English in 50 surface-syntactic frames and three matrix tenses. - The dataset combines the MegaAcceptability version 1.0 and data collected for 25,000 additional verb-frame pairs on Amazon’s Mechanical Turk using Ibex on Mechanical Turk. - The dataset has been used to address questions in linguistic theory.
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 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MegaAcceptability
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections