The MegaAcceptability Single Verb dataset

Authors: Aaron Steven White and Kyle Rawlins

Contact: aaron.white@rochester.edu, kgr@jhu.edu

Version: 1.0

Release date: 21 Jan 2020

Overview

This dataset consists of ordinal acceptability judgments for 37 clause-embedding verbs of English in 50 surface-syntactic frames. The data were collected on Amazon’s Mechanical Turk using Turktools.

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

White, A.S. & K. Rawlins. 2020. Frequency, acceptability, and selection: A case study of clause-embedding. Accepted to Glossa.

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, 21 Jan 2020

Description

Column	Description	Values
participant	anonymous integer identifier for participant that provided the response	0…28
list	integer identifier for list participant was responding to	1…37
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
response	ordinal scale acceptability response	1…7
nativeenglish	whether the participant reported speaking American English natively	True, False
sentence	sentence that was judged	see paper