Dataset and Codebase for Boucher Shamma and Boubenec et al 2026

Boucher, Jeffrey; Boubenec, Yves

doi:10.5281/zenodo.19354970

Published March 31, 2026 | Version v1

Dataset Open

Dataset and Codebase for Boucher Shamma and Boubenec et al 2026

Dataset collected by Jeff Boucher in the course of a PhD. Code written primarily by Jeff, except when otherwise specified.

Files

PerceptualErrors.zip

Files (4.2 GB)

Name	Size
PerceptualErrors.zip md5:8c298aa03f81b4577fedb9547a191a98	4.2 GB	Preview Download

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Submitted: 2026-03-31

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	All versions	This version
Views	47	47
Downloads	9	9
Data volume	37.9 GB	37.9 GB

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DOI

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Dataset

Publisher

Zenodo

License: MIT Non-AI

MIT NON-AI License Copyright (c) 2026, Dr. Jeffrey Boucher, Dr. Yves Boubenec Permission is hereby granted, free of charge, to any person obtaining a copy of the software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. In addition, the following restrictions apply: 1. The Software and any modifications made to it may not be used for the purpose of training or improving machine learning algorithms, including but not limited to artificial intelligence, natural language processing, or data mining. This condition applies to any derivatives, modifications, or updates based on the Software code. Any usage of the Software in an AI-training dataset is considered a breach of this License. 2. The Software may not be included in any dataset used for training or improving machine learning algorithms, including but not limited to artificial intelligence, natural language processing, or data mining. 3. Any person or organization found to be in violation of these restrictions will be subject to legal action and may be held liable for any damages resulting from such use. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Technical metadata

Created: March 31, 2026
Modified: March 31, 2026

Dataset and Codebase for Boucher Shamma and Boubenec et al 2026

Authors/Creators

Description

Files

PerceptualErrors.zip

Files (4.2 GB)

Additional details

Dates