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@@ -13,4 +13,29 @@ Autonomously refined, AI-cleaned training data scraped from tech blogs, research
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  "input": "",
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  "output": "{\"facts\": [...], \"rationale\": \"...\", \"quality\": 0.85}",
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  "metadata": {"topic": "AI Security", "quality_score": 0.85}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
 
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  "input": "",
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  "output": "{\"facts\": [...], \"rationale\": \"...\", \"quality\": 0.85}",
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  "metadata": {"topic": "AI Security", "quality_score": 0.85}
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+ }
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+
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+ ---
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+ license: apache-2.0
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+ language: en
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+ size_categories: 1K<n<10K
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+ ---
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+
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+ # SchemaForge Tech Datasets
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+
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+ Autonomously refined, AI-cleaned training data scraped from tech blogs, research papers, and AI news — structured into JSONL for LLM fine-tuning.
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+
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+ ## What's Inside
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+ - **Format**: JSONL (instruction, input, output, metadata)
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+ - **Quality Score**: 0.86 average
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+ - **Update Frequency**: Weekly autonomous injection
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+ - **Source**: Hacker News, arXiv, TechCrunch, OpenAI Blog, Anthropic, etc.
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+
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+ ## Schema
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+ ```json
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+ {
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+ "metadata": {"topic": "AI Security", "language": "en"},
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+ "extracted_facts": ["fact 1", "fact 2"],
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+ "cleaning_rationale": "Why this data is valuable for AI training",
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+ "quality_score": 0.85
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  }