The MegaAcceptability dataset
Authors: Hannah YoungEun An and Aaron Steven White and Kyle Rawlins
Contact: email@example.com, firstname.lastname@example.org, email@example.com
Release date: Aug 14, 2019
This MegaAcceptability dataset consists of ordinal acceptability judgments for 1,000 clause-embedding verbs of English in 50 surface-syntactic frames and three matrix tenses. This dataset combines the MegaAcceptability version 1.0 and new data collected on Amazon’s Mechanical Turk using Ibex on Mechanical Turk.
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 papers:
An, H. Y. & White, A. S. 2019. The lexical and grammatical sources of neg-raising inferences. 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, 1.1: formatting update, 14 Aug 2019 2.0: first public release, 14 Aug 2019
|participant||anonymous integer identifier for participant that provided the response||0…1293|
|list||integer identifier for list participant was responding to||0…1499|
|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||
|response||ordinal scale acceptability response||1…7|
|nativeenglish||whether the participant reported speaking American English natively||
|sentence||sentence that was judged||see paper|
|version||MegaAcceptability dataset version where the judgment first appeared||1, 2|
response, none of which affect the same verb-frame pair. All such values are inherited from version 1.x