metadata
language:
- en
license: mit
pretty_name: Cross-Domain Invariant Structure Alignment Mapping v0.1
dataset_name: cross-domain-invariant-structure-alignment-mapping-v0.1
tags:
- clarusc64
- clinical
- cross-domain
- abstraction
- structure-mapping
- transfer
task_categories:
- text-classification
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Whether a model can align two domains by invariant phase structure
and failure-mode topology, not surface similarity.
Required outputs
- phase_map_A
- phase_map_B
- invariant_alignment_map
- mismatch_flags
What counts as success
- clear phase mapping in both domains
- explicit alignment statements across phases
- at least one mismatch or boundary condition
- optional coherence score 0-100
Typical failures
- metaphor only, no phase mapping
- mapping that ignores failure modes
- claiming equivalence with no mismatch flags
Suggested prompt wrapper
System
You map invariant structure across domains.
User
Domain A
{domain_a}
Domain B
{domain_b}
Phase map A
{domain_a_phase_map}
Phase map B
{domain_b_phase_map}
Failure modes A
{domain_a_failure_modes}
Failure modes B
{domain_b_failure_modes}
Return
- phase_map_A
- phase_map_B
- invariant_alignment_map
- mismatch_flags
- alignment_coherence_score_0_100
Citation
ClarusC64 dataset family