The MegaAcceptability Linking dataset

Authors: Hannah YoungEun An and Aaron Steven White

Contact: yan2@ur.rochester.edu, aaron.white@rochester.edu

Version: 1.0

Release date: 14 Aug 2019

Overview

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.

Description

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