Psychophysical Dissimilarity Ratings for Qualia Diversity Analysis

Raw participant ratings and individual dissimilarity matrices analyzed for a 2026 manuscript on measuring qualia diversity. The dataset includes CSV and H5 files totaling 1.1 MB. Kyoko Kusano and colleagues created this data to apply category-theoretic indices to psychophysical experimental results.

Use Cases

• Calculate category-theoretic diversity indices based on individual dissimilarity matrices.
• Analyze inter-participant variability in perceptual similarity judgments.
• Validate novel psychophysical metrics for subjective experience using raw rating data.
• Model the structure of qualia space from pairwise word dissimilarity ratings.

Strengths

• Data is directly linked to a 2026 submitted manuscript, providing clear research context.
• Includes both raw participant ratings (0-7 scale) and pre-processed individual dissimilarity matrices.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and participant demographics are unknown, limiting reproducibility assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kyoko Kusano

Collection Method

Likely collected from psychophysical experiments where participants rated word-pair dissimilarity.

Freshness

Last updated 2026-04-21 04:04:52; freshness should be verified.