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Formulation Records Instruct

A synthetic, de-identified instruction dataset for teaching an LLM to structure and reason over semiconductor wet-chemistry formulation records. Three tasks: extract (messy text → structured JSON), normalize (name/unit → canonical), explain (optimizer result → plain-language explanation).

Built by Formulith. Generator & schema: https://github.com/formulith/formulation-records-dataset.

本專案部分研發由數位發展部數位產業署 115 年 AI 算力平台支持。 Part of this work is supported by the AI Computing Platform (2026), Administration for Digital Industries, Ministry of Digital Affairs, Taiwan.

Data is synthetic

Procedurally generated — no real customer data, no proprietary formulations. Values are illustrative. Schema mirrors a real formulation-optimization pipeline (molecule identity, normalized units, objectives, feasibility).

Fields

See schema.json in the GitHub repo. Each row: { "task", "input", "output" }.

License

CC-BY-4.0.

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