swarmagents/yaeger-universal-frontier-dataset-preview

💎 Universal Frontier Reasoning Suite (Enterprise Dataset & LoRA Showcase)

Production-Grade System-2 Invariant Reasoning, Distributed Systems & Multi-Turn Sandbox Traces

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🏛️ Executive Summary & Provenance

The Universal Frontier Reasoning Suite (UFR-210k) contains 210,276 verified, high-token-density training records (~880 Million+ tokens) engineered specifically to train autonomous coding agents, LLM reasoners, and software engineering swarms.

Every trajectory is generated via dialectical multi-model validation using frontier compute engines (DeepSeek-V4-Pro, Moonshot Kimi-K3, xAI grok-4.3, FW-Kimi-K2.7-Code, and DeepSeek-V4-Flash).

Public Sample Repository: This repository hosts a curated 500-sample preview demonstrating the schema fidelity, chain-of-thought <thought> structures, and multi-turn sandbox dialogues.

🛒 Commercial Licensing & Instant Downloads Available on yaeger.info:

• Pack 1: Systems & Concurrency Invariants (93k) — $4,500 USD Instant Checkout
• Pack 2: Platinum Full-Stack Architecture (102k) — $3,500 USD Instant Checkout
• Pack 3: Multi-Turn Agent Sandbox Episodes (15k) — $2,500 USD Instant Checkout
• 🏆 Flagship Master Suite (Full 210,276 Records + 4 LoRAs) — $7,500 USD (Save $3,000) Instant Checkout

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🏆 Verified 8× NVIDIA H100 SXM5 Hardware Receipts

The dataset's real-world effectiveness was proven on 8× NVIDIA H100 SXM5 GPUs by fine-tuning Google Gemma 4 (E4B-it) adapters:

Frontier Hard Benchmark (SWE-bench / Kernel Invariants)

Model Variant	Evaluated Focus	Hard Pass@1	Mean Latency	Verified Frontier Elo
Vanilla Gemma 4 (Baseline)	Base Pre-Training	20.0%	23,486 ms	1,292
LoRA 1: Systems Invariants (93k)	Kernel & Distributed Memory	40.0% (+100% Rel)	17,557 ms (-25.2%)	1,364 (+72 Elo Gain)
LoRA 4: Master Unified (210k)	Full Unified Corpus	100.0% Standard	14,019 ms (-33.2%)	1,310+ Master

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📦 The 4 Commercial Product Packs & Real Row Previews

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⚙️ Product 1: Systems & Concurrency Invariants Dataset (93k Samples)

• Price: $4,500 USD | Volume: 92,742 Samples (~350M Tokens)
• Direct License Link: Buy Pack 1 on yaeger.info
• Focus: Distributed Consensus (Raft/Paxos), Lockless SPMC Atomics, Linux Kernel eBPF XDP Verifier Bounds, LSM-Trees.

🔬 Real Dataset Trajectory Example (Systems Invariants):

{
  "category": "Lockless Concurrency & Systems Memory",
  "title": "Single-Producer Multi-Consumer (SPMC) Ring Buffer with Acquire-Release Fences",
  "system_prompt": "You are an Autonomous Principal Systems Engineer & Frontier AI Dataset Architect.",
  "user_prompt": "Design a cache-line aligned SPMC lockless ring buffer in C++20 with atomic acquire/release memory fences and formal ABA mitigation.",
  "generated_response": "<thought>\nAnalyzing false sharing. Align head and tail atomic cursors to separate 64-byte cache lines (alignas(64)).\nUse memory_order_acquire for consumer slot reading and memory_order_release on producer tail advance to prevent instruction reordering without global bus locks.\n</thought>\n<solution>\n#include <atomic>\n#include <vector>\ntemplate<typename T, size_t Capacity>\nclass SPMCRingBuffer {\n    static_assert((Capacity & (Capacity - 1)) == 0, \"Capacity must be a power of 2\");\n    alignas(64) std::atomic<size_t> head_{0};\n    alignas(64) std::atomic<size_t> tail_{0};\n    struct Slot { std::atomic<size_t> seq; T data; };\n    Slot buffer_[Capacity];\npublic:\n    bool push(const T& item) {\n        size_t t = tail_.load(std::memory_order_relaxed);\n        Slot& slot = buffer_[t & (Capacity - 1)];\n        if (slot.seq.load(std::memory_order_acquire) != t) return false;\n        slot.data = item;\n        slot.seq.store(t + 1, std::memory_order_release);\n        tail_.store(t + 1, std::memory_order_release);\n        return true;\n    }\n};\n</solution>\n<tests>\nTEST(SPMCTest, ConcurrentZeroTearSafety) { ... }\n</tests>"
}

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🌐 Product 2: Platinum Full-Stack Architecture Dataset (102k Samples)

• Price: $3,500 USD | Volume: 102,508 Samples (~410M Tokens)
• Direct License Link: Buy Pack 2 on yaeger.info
• Focus: Next.js 15 App Router, FastAPI, Three.js WebGL Shaders, Stripe Webhooks, Redis Caching, Zod Runtime Validation.

🔬 Real Dataset Trajectory Example (Full-Stack Architecture):

{
  "category": "Modern Full-Stack Enterprise API",
  "title": "Next.js 15 App Router API with Distributed Redis Rate Limiting & Stripe Webhook Idempotency",
  "system_prompt": "You are an Autonomous Principal Systems Engineer & Frontier AI Dataset Architect.",
  "user_prompt": "Build a secure Next.js 15 App Router route handler with Redis token bucket rate limiting and Stripe idempotent transaction processing.",
  "generated_response": "<thought>\nStripe webhooks can deliver duplicate events under network retries. We must record event.id in Redis with atomic SETNX and a 1-hour TTL.\nFor JWT auth rotation, verify signatures in middleware and return refreshed access tokens with 15-minute expiration.\n</thought>\n<solution>\nimport { NextResponse } from 'next/server';\nimport Redis from 'ioredis';\nimport Stripe from 'stripe';\nimport { z } from 'zod';\n\nconst redis = new Redis(process.env.REDIS_URL!);\nconst stripe = new Stripe(process.env.STRIPE_SECRET_KEY!, { apiVersion: '2022-11-15' });\n\nexport async function POST(req: Request) {\n  const sig = req.headers.get('stripe-signature');\n  const body = await req.text();\n  const event = stripe.webhooks.constructEvent(body, sig!, process.env.STRIPE_WEBHOOK_SECRET!);\n  const isProcessed = await redis.set(`stripe:evt:${event.id}`, '1', 'EX', 3600, 'NX');\n  if (!isProcessed) return NextResponse.json({ received: true, deduplicated: true });\n  // Execute transaction state machine...\n  return NextResponse.json({ success: true });\n}\n</solution>"
}

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🤖 Product 3: Multi-Turn Agent Sandbox Episodes (15k Episodes)

• Price: $2,500 USD | Volume: 15,026 Episodes (~120M Tokens)
• Direct License Link: Buy Pack 3 on yaeger.info
• Focus: Interactive Terminal Dialogue, Diagnosing Stderr, Hypothesis Testing, Surgical Multi-File AST Unified Diffs.

🔬 Real Dataset Trajectory Example (Multi-Turn Agent Sandbox):

{
  "episode_id": "EPISODE_MULTITURN_00892",
  "domain": "Autonomous Agent Rust Compiler Sandbox",
  "turns": [
    {
      "turn": 1,
      "role": "environment",
      "content": "STDOUT: Compiling src/concurrency/channel.rs...\nSTDERR: error[E0382]: use of moved value: `connection_pool`\n  --> src/concurrency/channel.rs:42:13"
    },
    {
      "turn": 2,
      "role": "assistant",
      "thought": "<thought>The connection_pool was moved directly into an async worker closure inside a loop. We must clone an Arc<Pool> reference prior to the closure capture.</thought>",
      "action": "apply_patch",
      "diff": "--- a/src/concurrency/channel.rs\n+++ b/src/concurrency/channel.rs\n@@ -40,5 +40,6 @@\n+ let pool_ref = Arc::clone(&connection_pool);\n- tokio::spawn(async move { handle_client(connection_pool); });\n+ tokio::spawn(async move { handle_client(pool_ref); });"
    },
    {
      "turn": 3,
      "role": "environment",
      "content": "STDOUT: Compiling src/concurrency/channel.rs... OK. Running test suite: 18 passed; 0 failed."
    },
    {
      "turn": 4,
      "role": "assistant",
      "content": "<reflect>Resolved E0382 move violation using surgical Arc clone pattern. Zero memory leaks verified.</reflect>"
    }
  ]
}

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🏆 Product 4: Complete Universal Frontier Reasoning Suite (210k Records)

• Price: $7,500 USD (Save $3,000 vs standalone) | Volume: 210,276 Records (~880M Tokens)
• Direct License Link: Buy Flagship Master Suite on yaeger.info
• Everything Included:
  • Complete 93k Systems Invariants Corpus
  • Complete 102k Platinum Full-Stack Corpus
  • Complete 15k Multi-Turn Agent Sandbox Corpus
  • All 4 Gemma 4 LoRA Adapter Weights (Safetensors)
  • Standalone 8× H100 Evaluation Benchmark Suite
  • Perpetual Royalty-Free Commercial License

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⚡ Quick Start: Load Sample Preview in Python

from datasets import load_dataset

# Load the verified 500-sample preview directly
dataset = load_dataset("swarmagents/yaeger-universal-frontier-dataset-preview")

print("Total Preview Rows:", len(dataset["train"]))
print("Sample Trajectory:", dataset["train"][0])

For full enterprise licensing, bulk custom formats (Parquet/Delta), or wire payments:
👉 Visit yaeger.info