Datasets:
CatQualia Cross-Domain Structural Isomorphisms
153,017 rows of cross-domain structural mappings. Each row takes a mechanism from one
domain (anime, biology, physics, economics, games, security, law) and maps its shape
onto a buildable software-engineering construct, together with the rule that makes the
mapping hold, the artifact it produces, and a failure_class naming how the mapping
breaks when it is wrong.
The corpus exists to answer one question mechanically: when a structural analogy between two domains is claimed, what distinguishes a real mapping from a decorative one? Every row carries both the claimed mapping and the failure mode, so the corpus can be used to train or evaluate a discriminator, not just to generate analogies.
What is actually in it
| Property | Value |
|---|---|
| Rows | 153,017 |
| File | catqualia_cross_domain_isomorphisms.jsonl (JSON Lines, one object per line) |
| Bytes | 135,522,530 (135.5 MB) |
| Canonical path | Trees-git/04_isomorphism/catqualia_cross_domain_isomorphisms.jsonl |
| Encoding | UTF-8, one JSON object per line |
Row count and byte count above were measured with wc -l and stat -c%s against the
exact file staged in this repository, not against an intermediate copy.
Schema
Fields of the first record, read directly from the file:
| Field | Type | Meaning |
|---|---|---|
work |
string | The source work or system the mechanism is taken from (e.g. an anime, a paper, a protocol) |
mechanism |
string | The mechanism in the source domain, described at the level of what it does |
canon_rule |
string | The domain-free rule the mechanism instantiates — the actual transferable content |
shape |
string | Structural description of the mechanism with domain vocabulary stripped out |
artifact |
string | The concrete software artifact this mapping builds |
why |
string | Why the mapping holds |
build_hint |
string | How to construct the artifact |
failure_class |
string | How the mapping fails when it is only superficially similar — the discriminator label |
grade |
string | Quality grade assigned to the row |
provenance |
string | Where the row came from |
_corpus |
string | Source corpus tag |
_tier |
string | Tier tag |
failure_class is the load-bearing field. It is what makes this corpus different from a
list of analogies: a row asserts not only that two mechanisms correspond but how the
correspondence degrades, which is the signal a model needs in order to reject plausible
but wrong transfers.
How it was produced
Generated by the CatQualia isomorphism engine: candidate mappings were produced from
source material, then filtered through an IDF-weighted scoring gate (S_IDF over shared
terms weighted by inverse document frequency), which separates genuine structural
mappings from rows that share only the engine's own template vocabulary. The published
method is described at https://catqualia.com/isomorphism/.
Rows here are the engine's own output. They are not human-verified as correct
analogies, and a grade field is the engine's own assessment, not an external label.
Intended use
- Training or evaluating a structural-transfer model (map a mechanism, produce an artifact).
- Training a discriminator that separates genuine structural mappings from decorative ones.
- Studying how failure modes distribute across source domains.
Known limitations
- Synthetic. These are machine-generated mappings. They have not been validated by domain experts, and a plausible-sounding row may be wrong.
- Self-graded.
gradeand_tiercome from the same pipeline that generated the rows, so they are not independent quality labels. Treat agreement between source and derived data carefully. - English only.
- Coverage is uneven. Some source domains contribute far more rows than others.
- Duplication. This exact file also exists at
501_mirage_engine/container/external/04_isomorphism/catqualia_cross_domain_isomorphisms.jsonlinside the author's own tree. This repository is the canonical published copy.
Licensing and attribution
Released under CC BY 4.0. The author's own licence for the wider corpus (CSIL v3.0) also permits research use; CC BY 4.0 is applied here so the dataset can be used without ambiguity. Attribution: Christopher Betances, catqualia.com.
The work field names third-party titles (anime series and similar) as source
material for analogy. No third-party text is reproduced; each row is the author's own
description of a mechanism.
Citation
@misc{betances_catqualia_isomorphisms,
author = {Betances, Christopher},
title = {CatQualia Cross-Domain Structural Isomorphisms},
year = {2026},
howpublished = {\url{https://catqualia.com/isomorphism/}},
note = {153,017 rows; structural mappings with failure classes}
}
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