The MegaAttitude dataset
Authors: Aaron Steven White and Kyle Rawlins
Contact: aaron.white@rochester.edu, kgr@jhu.edu
Version: 1.0
Release date: May 11, 2018
Overview
This dataset consists of ordinal veridicality judgments as well as ordinal acceptability judgments for 517 clause-embedding verbs of English. 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. 2018. The role of veridicality and factivity in clause selection. To appear in the Proceedings of the 48th Meeting of the North East Linguistic Society.
If you make use of this dataset in a presentation or publication, we ask that you please cite this paper.
Version history
1.0: first public release, May 11, 2018.
Manifest
megaveridicality-v1.csvREADME.mdLICENSE
Description
| Column | Description | Values |
|---|---|---|
| participant | anonymous integer identifier for participant that provided the response | 0…290 |
| list | integer identifier for list participant was responding to | 0…15 |
| presentationorder | relative position of item in list | 1…68 |
| verb | clause-embedding verb found in the item | see paper |
| frame | clausal complement found in the item | see paper |
| voice | voice found in the item | active, passive |
| polarity | polarity found in the item | positive, negative |
| conditional | whether the item was embedded in the antecedent of a conditional (see paper) | True, False |
| veridicality | ordinal scale veridicality response | no, maybe, yes |
| acceptability | ordinal scale acceptability response | 1…7 |
| nativeenglish | whether the participant reported speaking American English natively | True, False |
| exclude | whether the participant should be excluded based on native language | True, False |