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README.md
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"metadata": {"topic": "AI Security", "quality_score": 0.85}
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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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# SchemaForge Tech Datasets
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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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## 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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## 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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}
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"metadata": {"topic": "AI Security", "quality_score": 0.85}
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}
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