Table 4.

Description of canonical neuroimaging contrasts per task.

Task	Contrasts	Covariates
Naturalistic video viewing task task-alignvideo	Video  > baseline rating	Emotion ratings
	Encoding models of video attributes	—
Naturalistic narratives task task-narratives	Audio  > Text narrative	—
	Narrative (Audio and Text)  > baseline	Expectation & Feeling rating
Multimodal affective task task-social	Somatic pain  > baseline	Expectation & Outcome rating
	Vicarious pain  > baseline	Expectation & Outcome rating
	Cognitive discomfort  > baseline	Expectation & Outcome rating
Dynamic Faces task task-faces	Age  > baseline	Age rating
	Gender  > baseline	Sex rating
	Facial expression  > baseline	Intensity rating
Video-based multiattribute social judgement task task-shortvideo	Likeability  > baseline	Likeability rating
	Similarity  > baseline	Similarity rating
	Mental state attribution  > baseline	Mental state attribution rating
Fractionated “Why/how” task	Why  > How	Accuracy (image detection)
Fractionated “False-belief” task	False belief  > False photograph	Accuracy (true/false judgment)
Fractionated “Posner” task	Invalid cue  > Valid cue	Accuracy (target detection)
Fractionated “Memory” task	Encoding  > baseline	Accuracy (old/new identification)
	Retrieval  > baseline	Accuracy (old/new identification)

To facilitate exploration of the dataset, we highlight the primary processes associated with each task by outlining the canonical contrasts each task (listed in Task and Contrasts column). Additionally, Covariates indicate the participant ratings collected during each trial. These covariates could be integrated into within-subject models or included as between-subject individual difference measures after further computation. For example, the Narratives task includes contrasts such as 1) audio vs. text modality comparison, 2) narrative vs. baseline comparison, and 3) the incorporation of behavioral ratings as covariates.