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vanta-research/poetic-imagery-small

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Hugging Face2025-12-03 更新2026-01-03 收录
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--- license: apache-2.0 author: vanta-research tags: - conversational-ai - chat - poetry - emotional-ai - alignment - emotion language: - en --- <div align="center"> ![vanta_trimmed](https://cdn-uploads.huggingface.co/production/uploads/686c460ba3fc457ad14ab6f8/hcGtMtCIizEZG_OuCvfac.png) <h1>VANTA Research</h1> <p><strong>Independent AI research lab building safe, resilient language models optimized for human-AI collaboration</p> <p> <a href="https://unmodeledtyler.com"><img src="https://img.shields.io/badge/Website-unmodeledtyler.com-yellow" alt="Website"/></a> <a href="https://merch.vantaresearch.xyz"><img src="https://img.shields.io/badge/Merch-merch.vantaresearch.xyz-green" alt="Merch"/></a> <a href="https://x.com/vanta_research"><img src="https://img.shields.io/badge/@vanta_research-1DA1F2?logo=x" alt="X"/></a> <a href="https://github.com/vanta-research"><img src="https://img.shields.io/badge/GitHub-vanta--research-181717?logo=github" alt="GitHub"/></a> </p> </div> --- # Poetic Imagery Small This is a small dataset (520 examples) of poetic imagery training examples. This dataset is high quality, synthetically generated training data. All of the data in the file underwent an automated filtering process for quality, and was finally filtered by a human for quality. These examples are designed to give a language model "emotional depth" or the ability to use language in a poetic way, while remaining logically accurate. Seed examples (5-10) where generated by Claude Sonnet 4.5. Examples were then expanded by Deepseek V3.2 Terminus, filtered by GPT-OSS:120B for quality, and then again filtered by a human at the end. # Contact - Organization: hello@vantaresearch.xyz - Engineering/Design: tyler@vantaresearch.xyz
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vanta-research
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