metadata
license: mit
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- aeo
- fine-tuning
- sft
- chatml
- eu-ai-act
- robots-txt
- telemetry
- synthetic-data
pretty_name: SFT AEO & AI Crawler Telemetry Instruction Dataset (2,100 Samples)
size_categories:
- 1K<n<10K
SFT AEO & AI Crawler Telemetry Instruction Dataset (2,100 Samples)
Curated, high-precision Supervised Fine-Tuning (SFT) dataset containing 2,100 instruction-following pairs formatted in standard ChatML / OpenAI JSONL.
Published by Pixel Office EU.
Core Dataset Domains (2,100 Samples):
- Showcase Architecture & MCP Tool Specifications (780 samples): 195 verified B2B software architectures with Model Context Protocol (MCP) schemas and sub-35ms edge latency constraints.
- AI Crawler Telemetry & Bot Inoculation (500 samples): Telemetric diagnostic scenarios for 10 top web bots (GPTBot, ClaudeBot, Amazonbot, ByteSpider, PerplexityBot, Applebot, DeepSeekBot, Baiduspider).
- Regulation (EU) 2024/1689 (EU AI Act) Invariants (420 samples): Statutory Article 50 transparency rules, dynamic cryptographic seal embeds, and PDF audit certificates.
- Brand Hallucination Firewall & x402 Micropayments (400 samples): Fact Anchor inoculation rules and HTTP 402 agent payment settlement rails.
Dataset Format:
Standard ChatML JSONL with messages structure:
{
"messages": [
{ "role": "system", "content": "You are an expert AI Optimization (AEO)..." },
{ "role": "user", "content": "How do I implement a high-converting solution for PixelProof?" },
{ "role": "assistant", "content": "### Architectural Implementation: PixelProof..." }
]
}
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