The MegaAcceptability Linking dataset

Authors: Hannah YoungEun An and Aaron Steven White


Version: 1.0

Release date: 14 Aug 2019


This dataset consists of ordinal acceptability judgments for 50 clause-embedding verbs of English in 35 surface-syntactic frames. The data were collected on Amazon’s Mechanical Turk using Ibex on Mechanical Turk.

For a detailed description of the dataset, the item construction and collection methods, please see the following paper:

An, H.Y. & A.S. White. 2019. The lexical and grammatical sources of neg-raising inferences. Proceedings of the Society for Computation in Linguistics 3:23, 220-233.

If you make use of this dataset in a presentation or publication, we ask that you please cite this paper.

Version history

1.0: first public release, 14 Aug 2019.


Column Description Values
participant anonymous integer identifier for participant that provided the response 0…49
list integer identifier for list participant was responding to 0
presentationorder relative position of item in list 1…50
verb clause-embedding verb found in the item see paper
frame clausal complement found in the item see paper
tense matrix tense found in the item present, past, past_progressive
response ordinal scale acceptability response 1…7
nativeenglish whether the participant reported speaking American English natively True
sentence sentence that was judged see paper
version MegaAcceptability dataset version where the item was drawn from 1, 2