Autonomously refined, AI-cleaned training data scraped from tech blogs, research papers, and AI news — structured into JSONL for LLM fine-tuning.
What's Inside
- Format: JSONL (instruction / input / output / metadata)
- Quality Score: 0.86 average
- Update Frequency: Weekly autonomous injection
- Source: Hacker News, arXiv, TechCrunch, OpenAI Blog, Anthropic, etc.
Schema
{
"instruction": "Analyze text about AI Security",
"input": "",
"output": "{\"facts\": [...], \"rationale\": \"...\", \"quality\": 0.85}",
"metadata": {"topic": "AI Security", "quality_score": 0.85}
}