Add emgena.com/trainingslager live inspector banner & coupon codes
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README.md
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language:
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- en
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license: apache-2.0
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tags:
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- python_distributed_systems
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- enterprise-resilience
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- reasoning
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- deepseek-r1
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- unsloth
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- emgena-ai-labs
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size_categories:
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- n<1000
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#
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---
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language:
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- en
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license: apache-2.0
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tags:
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- python_distributed_systems
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- enterprise-resilience
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- reasoning
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- deepseek-r1
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- unsloth
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- emgena-ai-labs
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size_categories:
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- n<1000
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---
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> ### 🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
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> **Zero hallucinations. Null syntax errors. 100% AST compiler validated.**
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> 🌐 **Live Interactive Reasoning & Code Inspector:** [https://emgena.com/trainingslager](https://emgena.com/trainingslager)
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> 🎁 **Claim your Free Starter Kit (Code: STARTER100):** [https://emgena.com/trainingslager](https://emgena.com/trainingslager)
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> 🏷️ **Launch Discount:** Get **20 € OFF** any 500-incident production suite with code **LAUNCH20**!
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>
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> 📜 **Enterprise Compliance:** EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA
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# 🤖 Emgena AI Labs - Python Backend - Distributed Celery & RabbitMQ Task Queue Triage (Evaluation Teaser)
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> **Enterprise High-Assurance Dataset:** Formatted for native Tool-Calling, Error-Recovery & Deep Diagnostic Reasoning. Verified by automated Pydantic schema validators & `ast.parse()` syntax gates.
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---
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## ⚡ 1-Click Quickstart (Unsloth & TRL Ready)
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```python
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from datasets import load_dataset
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# Load directly with native ChatML messages array
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dataset = load_dataset("emgena/emgena_python_distributed_celery_rabbitmq_triage_teaser", split="train")
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print("Row 0 (Enterprise Watermark & Discount Hook):")
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print(dataset[0])
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```
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## 🛒 Full Commercial Dataset & EULA
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The full commercial dataset with complete production incidents, AST-verified remediation patches, ShareGPT/Alpaca formats, and EU AI Act Art. 50/53 compliance certificates is available at:
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👉 **[Gumroad Official Checkout](https://bacardy.gumroad.com/l/pejpin/l/pejpin/LAUNCH20)** (Use coupon **`LAUNCH20`** for 20€ off).
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