The MegaAcceptability Single Verb dataset

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