The MegaAcceptability dataset
Authors: Aaron Steven White and Kyle Rawlins
Contact: email@example.com, firstname.lastname@example.org
Release date: 14 Aug 2019
This MegaAcceptability dataset consists of ordinal acceptability judgments for 1,000 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, the item construction and collection methods, and discussion of how to use a dataset on this scale to address questions in linguistic theory, please see the following paper:
White, A. S. & K. Rawlins. 2016. A computational model of S-selection. In M. Moroney, C-R. Little, J. Collard & D. Burgdorf (eds.), Semantics and Linguistic Theory 26, 641-663. Ithaca, NY: CLC Publications.
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, 30 Oct 2016 1.1: formatting update, 14 Aug 2019
|participant||anonymous integer identifier for participant that provided the response||0…728|
|list||integer identifier for list participant was responding to||0…999|
|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|
- Only participants for which
exclude==Trueare included in the analysis in White & Rawlins 2016. The full exclusion procedure is laid out in a paper in preparation.
response, none of which affect the same verb-frame pair.