verifiedmembersdefendable-community-researchMembers indexed

Defendable Offense / Pain / Fixer Corpus v1

Source-grounded offense-signal / pain-receipt corpus + defense-fixer library + SwarmCurator eval and SwarmJelly failure packs. 678 records across 6 research lanes, trust-tiered to primary enforcement sources. Salvaged from the archived defendableos-swarm-research corpus.

Download metadata JSONRequest file access

Asset Snapshot

Domain
Defense Intelligence
Category
Agent Instructions
Version
1.0.0
Records
678
Size
1.4 MB
Quality
90/100
Fine-tune readiness
100/100
Readiness label
Fine-tune ready
Validation
passed

Intended Use

Train and evaluate SwarmCurator (grading), test SwarmJelly (failure/repair), and seed the Defendable Ledger with source-grounded offense/pain/fixer intelligence.

Not Intended Use

Not operational attack instructions (fixers are safe-high-level with evidence + human-review gates). Not legal, financial, or security advice.

Schema Preview

{
  "record_id": "REC-FIN-0001",
  "research_lane": "consumer_financial",
  "fields": [
    "classification",
    "corpus_version",
    "created_at",
    "curator_training",
    "privacy_and_safety",
    "record_id",
    "research_lane",
    "severity",
    "source",
    "trust"
  ],
  "note": "Full records in splits/offense_pain_seed_corpus.jsonl; 3 in samples/sample.jsonl."
}

Example Records

[
  {
    "record_id": "REC-FIN-0001",
    "research_lane": "consumer_financial",
    "fields": [
      "classification",
      "corpus_version",
      "created_at",
      "curator_training",
      "privacy_and_safety",
      "record_id",
      "research_lane",
      "severity",
      "source",
      "trust"
    ],
    "note": "Full records in splits/offense_pain_seed_corpus.jsonl; 3 in samples/sample.jsonl."
  }
]

Formats and Tasks

jsonlclassificationinstruction-tuningqwenllamamistral

Fine-tuning Notes

Salvaged from the archived SudoSuOps/defendableos-swarm-research corpus v0.1 (deliverables 05/06/07/08) during the 2026-05-31 house consolidation. 678 records across seed corpus (255), fixer library (115), curator eval (157), jelly failure (151). Trust-tiered source-grounded; SHA256 receipts captured; full data committed in-repo.

678 records, all lines valid JSON, per-file + combined SHA256 captured and re-verified. Seed corpus 183x trust-tier-1 / 72x trust-tier-2.

Files, Hashes, and Receipts

splits/offense_pain_seed_corpus.jsonljsonlfull616 KB14617a8258d9303f2a7467ff22170a9b3d3840cd285cb885cce344ae404fb94b
splits/defense_fixer_library.jsonljsonlfull172 KB6068ac4dfd3acb77b2ac6a17b91feb5529cec2ec50b6ddeaa193a82bacdd06f6
splits/swarmcurator_eval_pack.jsonljsonlfull354 KBd477d5285c267b9c84fa6d306fd518cf991f3364290f801f4a02742a91411965
splits/swarmjelly_failure_pack.jsonljsonlfull293 KB47702273a79cd496fee36f62fa05605b7bf43d294dc789563e111e099ad61d64

External Storage Locations

defendableos-swarm-research deliverables/ (05,06,07,08)
github://SudoSuOps/defendableos-swarm-research (archived 2026-05-31)
1.4 MB
ecec8006d78c32b2a5bfc544d1a40a2df438c48f45efd03cb83f6bc225c7bc5d
Salvaged from the archived DefendableOS Deep Research Swarm corpus v0.1 before consolidation. 4 packs merged into one package; keys canonicalized.
sha256: receipt-defendable-offense-pain-fixer-v1
Defendable Offense/Pain/Fixer Corpus v1 indexed with 4 files 678 records 1469158 bytes and SHA256 receipts.

Dataset Card Preview

---
license: defendable-community-research
task_categories: classification, instruction-tuning
pretty_name: Defendable Offense / Pain / Fixer Corpus v1
---

# Defendable Offense / Pain / Fixer Corpus v1

Source-grounded offense-signal / pain-receipt corpus + defense-fixer library + SwarmCurator eval and SwarmJelly failure packs. 678 records across 6 research lanes, trust-tiered to primary enforcement sources. Salvaged from the archived defendableos-swarm-research corpus.

## Datasets

- Defendable Offense / Pain / Fixer Corpus v1 (defendable_offense_pain_fixer_v1) - 678 records

## Provenance

This card was generated from DefendableDatasets registry metadata. Verify SHA256 hashes before training.

## Warnings

- One or more datasets use a gated research license. Review before commercial use or redistribution.
- License compatibility is restricted for production fine-tuning.