Datasets:
File size: 1,336 Bytes
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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](https://www.formulith.com). 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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