DatasetDAT-2026-0002v0.1
PACC-Hybrid v0.1 shared candidate pools
1,568 candidate-pool instances (7 categories × 28 tasks × 8 repetitions, 112 candidates each) generated synthetically and given identically to all A/B/C conditions, with primary, multiseed and elastic-diagnostic result JSON. No language-model output is included.
What it contains
description- pacc_hybrid_v0.1_primary.json, pacc_hybrid_v0.1_multiseed.json, pacc_hybrid_v0.1_elastic_multiseed.json, pacc_hybrid_v0.1_elastic_diagnostic.json inside the v0.1 bundle.
How it was created
generation_method- Seeded synthetic candidate generation (seed 20260909 primary; 8 fixed secondary seeds).
Known bias
known_bias- Synthetic candidates and synthetic scoring; a real-model pool is the v0.2 open item.
Format and size
format- JSON
Relations
| Source | Relation | Target | Status | ID |
|---|---|---|---|---|
DAT-2026-0002 PACC-Hybrid v0.1 shared candidate pools | supports | RES-2026-0004 A PACC-style runtime on language models: reasoning, intent and creative breadth | ACTIVE | REL-2026-0093 |
EXP-2026-0021 PACC-Hybrid v0.1 — synthetic A/B/C architecture witness | uses_dataset | DAT-2026-0002 PACC-Hybrid v0.1 shared candidate pools | ACTIVE | REL-2026-0315 |
History and provenance
- Canonical URL
- https://evemisslab.com/ai/data/DAT-2026-0002/
- Machine-readable
/ai/data/DAT-2026-0002/index.json- Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45- Provenance
source- EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)
extracted_by- Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports
extracted_at- 2026-09-11
generator- tools/extract_aes/extract.py
claim_boundary- status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports