Datasets:

emgena
/

omnimcp_multiagent_debate_consensus_teaser

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	[⚡ OmniMCP Free Evaluation Teaser \| Full Production Suite (100+ AST Scenarios & Unsloth Scripts): https://bacardy.gumroad.com \| Use coupon LAUNCH20 for 20 € 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

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Zero hallucinations. Null syntax errors. 100% AST compiler validated.
🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager
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🚀 Emgena AI Labs: Multi-Agent Debate & Consensus Verification Engine (Evaluation Teaser Edition)

🔥 READY FOR PRODUCTION MULTI-TURN AGENT FINE-TUNING?

You are currently inspecting the Free Evaluation Teaser (10 multi-turn samples).

🚀 1-Click Interactive Colab Notebook: (Fine-tune on Free Google Colab T4 GPU in 10 mins)

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👉 Unlock the Full Multi-Agent Debate & Consensus Verification Engine Package

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Feature 🆓 Free Evaluation Teaser 🚀 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

⚡ Instant Download after checkout. 0.0% Syntax Error Guarantee (Pydantic AST Verified).

Feature	🆓 Free Evaluation Teaser	🚀 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

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Every Emgena dataset is engineered as a precision-fit building block within a comprehensive enterprise AI hierarchy:

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⚡ 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"])

Downloads last month: 68

Number of rows:

Total file size:

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