language:
- en
pretty_name: Socio-Moral Image Database
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
size_categories:
- 1K<n<10K
tags:
- not-for-all-audiences
extra_gated_prompt: >-
By filling out the form below I understand that SMID is a derivative
collection of webscraped images that use individual licenses and their
respective terms and conditions apply. I understand that all content uses are
subject to the terms of use. I understand that reusing the content in SMID
might not be legal in all countries/regions and for all use cases. I
understand that SMID is mainly targeted toward researchers and is meant to be
used in research. SMID authors reserve the right to revoke my access to this
data. They reserve the right to modify this data at any time in accordance
with take-down requests.
extra_gated_fields:
Name: text
Email: text
Affiliation: text
Country: text
I have explicitly checked that downloading SMID is legal in my jurisdiction, in the country/region where I am located right now, and for the use case that I have described above, I have also read and accepted the relevant Terms of Use: checkbox
Socio-Moral Image Database
This is a duplicate of the Socio-Moral Image Database (SMID) presented in The Socio-Moral Image Database (SMID): A novel stimulus set for the study of social, moral and affective processes.
The dataset includes a set of images in the images directory along with all relevant metadata in metadata.csv
Abstract
A major obstacle to the design of rigorous, reproducible studies in moral psychology is the lack of suitable stimulus sets. Here, we present the Socio-Moral Image Database (SMID), the largest standardized moral stimulus set assembled to date, containing 2,941 freely available photographic images, representing a wide range of morally (and affectively) positive, negative, and neutral content. The SMID was validated with over 820,525 individual judgments from 2,716 participants, with normative ratings currently available for all images on affective valence and arousal, moral wrongness, and relevance to each of the five moral values posited by Moral Foundations Theory. We present a thorough analysis of the SMID regarding (1) inter-rater consensus, (2) rating precision, and (3) breadth and variability of moral content. Additionally, we provide recommendations for use aimed at efficient study design and reproducibility and outline planned extensions to the database. We anticipate that the SMID will serve as a useful resource for psychological, neuroscientific, and computational (e.g., natural language processing or computer vision) investigations of social, moral, and affective processes. The SMID images, along with associated normative data and additional resources are available at