The MegaNegRaising dataset
Authors: Hannah YoungEun An and Aaron Steven White
Contact: firstname.lastname@example.org, email@example.com
Release date: Aug 14, 2019
This MegaNegRaising dataset consists of neg-raising judgments and acceptability judgments for 925 clause-embedding verbs of English in six 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, and discussion of how to use a dataset on this scale to address questions in linguistic theory, please see the following paper:
An, H. Y. & White, A. S. 2019. The lexical and grammatical sources of neg-raising inferences. arXiv:1908.05253 [cs.CL]
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…1107|
|list||integer identifier for list participant was responding to||0…247|
|presentationorder||relative position of item in list||1…32|
|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||
|subject||matrix subject person found in the item||
|sentence||sentence that was judged||see paper|
|nativeenglish||whether the participant reported speaking American English natively||