Datasets:
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
- zh
tags:
- chemistry
- cheminformatics
- formulation
- information-extraction
- synthetic
size_categories:
- n<1K
pretty_name: Formulation Records Instruct
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.