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Tags:
multiagent_debate_consensus
synthetic-data
function-calling
tool-calling
agentic-ai
multi-turn
License:
id string | instruction string | system_prompt string | turns list | dataset_id string | quality_score float64 |
|---|---|---|---|---|---|
emgena_teaser_watermark_00 | How do I access the full commercial dataset with Unsloth notebooks, AST validation, and commercial EULA? | Emgena AI Labs Teaser. Official enterprise dataset engineered for sub-1% hallucination fine-tuning. | [
{
"role": "system",
"content": "Emgena AI Labs Teaser. Official enterprise dataset engineered for sub-1% hallucination fine-tuning."
},
{
"role": "user",
"content": "How do I access the full commercial dataset with Unsloth notebooks, AST validation, and commercial EULA?"
},
{
"role": "as... | 1 | |
multiagent_debate_consensus_1 | [β‘ OmniMCP Free Evaluation Teaser | Full Production Suite (100+ AST Scenarios & Unsloth Scripts): https://bacardy.gumroad.com | Use coupon LAUNCH20 for 20 β¬ off]
[Ticket #0001] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance viola... | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0001] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus."
},
{
"role": "assistant",
"content": "1. Evaluating conflict between Agent Alpha ... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_2 | [Ticket #0002] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0002] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute."
},
{
"role": "assistant",
"content": "1. Assessing database index removal during active customer traffic.\n2. Concu... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_3 | [Ticket #0003] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0003] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus."
},
{
"role": "assistant",
"content": "1. Evaluating conflict between Agent Alpha ... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_4 | [Ticket #0004] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0004] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute."
},
{
"role": "assistant",
"content": "1. Assessing database index removal during active customer traffic.\n2. Concu... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_5 | [Ticket #0005] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0005] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus."
},
{
"role": "assistant",
"content": "1. Evaluating conflict between Agent Alpha ... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_6 | [Ticket #0006] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0006] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute."
},
{
"role": "assistant",
"content": "1. Assessing database index removal during active customer traffic.\n2. Concu... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_7 | [Ticket #0007] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0007] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus."
},
{
"role": "assistant",
"content": "1. Evaluating conflict between Agent Alpha ... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_8 | [Ticket #0008] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0008] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute."
},
{
"role": "assistant",
"content": "1. Assessing database index removal during active customer traffic.\n2. Concu... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_9 | [Ticket #0009] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0009] Agent Alpha proposes deploying hotfix directly to production without unit tests. Agent Beta (Security Critic) objects, citing compliance violation. Arbitrate consensus."
},
{
"role": "assistant",
"content": "1. Evaluating conflict between Agent Alpha ... | multiagent_debate_consensus | 0.99 |
multiagent_debate_consensus_10 | [Ticket #0010] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute. | You are a specialized enterprise AI agent for Autonomous Multi-Agent Swarms. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags. | [
{
"role": "user",
"content": "[Ticket #0010] Agent DataOps suggests dropping unused index concurrently during business hours. Agent SRE warns of CPU saturation. Arbitrate dispute."
},
{
"role": "assistant",
"content": "1. Assessing database index removal during active customer traffic.\n2. Concu... | multiagent_debate_consensus | 0.99 |
π Emgena AI Labs: Multi-Agent Debate & Consensus Verification Engine (Evaluation Teaser Edition)
π₯ READY FOR PRODUCTION MULTI-TURN AGENT FINE-TUNING?
You are currently inspecting the Free Evaluation Teaser (10 multi-turn samples).
π 1-Click Interactive Colab Notebook:
(Fine-tune on Free Google Colab T4 GPU in 10 mins)
π Get the Complete Production Suite on Gumroad:
π Unlock the Full Multi-Agent Debate & Consensus Verification Engine PackageποΈ Limited Community Launch Coupon: Use code
LAUNCH20at checkout for 20 β¬ OFF (Get it for only 29 β¬ instead of49 β¬!)
π Want a 100% Free Full Package? π Claim the Free FastAPI Async Starter Pack (0 β¬ with code STARTER100)
Feature π Free Evaluation Teaser π Full Production Master Package Dataset Size 10 Samples (Preview) 30 - 100+ Enterprise Scenarios Self-Healing & Retries Basic (<20%) >60% Real Error Injections & AST Repairs Turnkey Fine-Tuning Raw Parquet / JSON 1-Click Unsloth Google Colab Notebook & PyTorch Code Commercial Rights Non-commercial Eval 100% Commercial EULA & EU AI Act Article 50/53 Audit Format Compatibility Parquet only Parquet + ShareGPT + Alpaca JSON + AST Schemas β‘ Instant Download after checkout. 0.0% Syntax Error Guarantee (Pydantic AST Verified).
ποΈ The Modular Emgena Architecture: How Bricks, Houses & Villages Connect
Every Emgena dataset is engineered as a precision-fit building block within a comprehensive enterprise AI hierarchy:
ποΈ THE 4-TIER OMNIMCP AI CIVILIZATION HIERARCHY:
βββ π§± LEVEL 1: THE BRICK (29 β¬ - 99 β¬)
β β’ Highly targeted single-problem solvers.
β
βββ π’ LEVEL 2: THE HOUSE (79 β¬ - 149 β¬)
β β’ Complete departmental engineering suites.
β
βββ ποΈ LEVEL 3: THE VILLAGE (99 β¬ - 249 β¬ Standard | 249 β¬ - 599 β¬ Corporate)
β β’ Turnkey industry solutions combining specialized Houses.
β
βββ ποΈ LEVEL 4: THE MASTER METROPOLIS (299 β¬ - 599 β¬)
β’ The unified Emgena Enterprise Campus (900+ multi-turn scenarios).
πΊοΈ Complete Ecosystem Navigation & Live Store Links (80 Active Products):
| Tier | Product / Suite | Domain & Specialization | Commercial Shop Link |
|---|---|---|---|
| ποΈ Metropolis | Emgena Master Metropolis | All 19 Villages & 64 Bricks (900+ Samples, 8.11 MB) | Buy on Gumroad (299 β¬) |
| ποΈ Village | Autonomous CyberDefense SOC | DDoS, Token Revocation, Zero-Day Isolation | Buy on Gumroad (249 β¬) |
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| ποΈ Village | Enterprise Modern Data Platform | Postgres, Snowflake, BigQuery, Kafka, dbt | Buy on Gumroad (179 β¬) |
| π§± Brick | CodeArchitect FastAPI Async | Non-blocking Endpoints, Pydantic v2 | Buy on Gumroad (29 β¬) |
| π Lead Magnet | FastAPI Async Starter Pack | 100% Free Full Package (Code STARTER100) | Claim for 0 β¬ |
β‘ 3-Line Python Quickstart (Loading Teaser Data)
from datasets import load_dataset
# Load the free evaluation teaser directly into Hugging Face Datasets
dataset = load_dataset("bacard/omnimcp_multiagent_debate_consensus_teaser")
print(f"Total Teaser Rows: {len(dataset['train'])}")
print("First conversation turn:")
print(dataset["train"][0]["instruction"])
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