The MegaAcceptability Single Verb dataset
Authors: Aaron Steven White and Kyle Rawlins
Contact: firstname.lastname@example.org, email@example.com
Release date: 21 Jan 2020
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.
1.0: first public release, 21 Jan 2020
|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||
|sentence||sentence that was judged||see paper|