| --- |
| 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. |
|
|
