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Instruct Jev

Instruction corpus compiled from TypeSafe's public Jev documentation: 119 rows split across the Choice, Noul and Score primitives, with the captured source files, a standard-library Python builder and a published HuggingFace dataset.

Stars
1
Language
Python
License
MIT
Published by
Community
Author
ctaxnagomi
Last verified
Oct 2026

About this project

INSTRUCTJEV — a TypeSafe AI Jev / System One instruction corpus, compiled by DeckerGUI from the public TypeSafe AI documentation. 119 instruction rows · choice 47 / noul 51 / score 21. 128 source files captured · 114 unique documents.

Quoted from the project's README. Read the full README.

Highlights

  • 119 instruction rows partitioned by primitive, shipped as a combined train split plus separate JSONL per primitive.
  • A cleaned mirror of 128 captured source files with a manifest, while non-text browser captures are kept out of version control.
  • The builder is standard-library Python and idempotent: it re-mirrors the corpus and rewrites every output file.
  • Counts are stated per primitive and cross-checked in generated metadata and stats files alongside the dataset card.

Watch out

The corpus is compiled from TypeSafe's public documentation by a third party rather than written by TypeSafe, so it inherits whatever that documentation says about the primitives and can drift from the current docs. Non-text capture folders such as PDF and webpage directories are excluded from version control, so the corpus is Markdown, text and JSON only and anything that lived in a rendered page is missing. There is no evaluation harness here: nothing in the repository scores a model on these rows, and the content is documentation text rather than measured behaviour. The builder rewrites tracked output directories, so expect a large diff after a rebuild. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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