The MegaAcceptability Linking dataset
Authors: Hannah YoungEun An and Aaron Steven White
Contact: email@example.com, firstname.lastname@example.org
Release date: 14 Aug 2019
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.
1.0: first public release, 14 Aug 2019.
|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||
|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 item was drawn from||1, 2|