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Add AcuBench (build-script pattern: skeleton + build/eval scripts, no AcuKG labels)
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AcuBench — NOTICE
=================
This repository packages the AcuBench benchmark using a BUILD-SCRIPT
distribution pattern. Read this notice before use.
1. WHAT IS AND IS NOT REDISTRIBUTED HERE
----------------------------------------
AcuBench's task labels are DERIVED from AcuKG's `Indication.csv`. AcuKG ships
with NO license file (confirmed via the GitHub API: "license": null). Under
default copyright, redistribution rights for AcuKG's raw files — or for a
substantially complete derived copy of them — are NOT granted to us.
Therefore this repository does NOT contain:
* the assembled AcuBench labels (`acubench.jsonl`, 446 rows), or
* any copy of the raw AcuKG data (CSV / RDF / JSON).
This repository DOES contain, and releases under the license in the LICENSE
file (CC BY 4.0 for data artifacts; see LICENSE for the code terms):
* who_acupoints.csv — a from-scratch WHO 361-acupoint skeleton,
independently constructed from published WHO
Standard International Acupuncture Nomenclature
point counts (NOT copied from AcuKG).
* meridian_adjacency.csv — on-meridian adjacency edges over that skeleton.
* build_acubench.py — a deterministic script that regenerates the exact
AcuBench labels + splits LOCALLY from a copy of
AcuKG that the USER clones themselves.
* eval.py — a self-contained evaluation harness.
* sample_labels.jsonl — a small (20-row) illustrative sample, explicitly
attributed to AcuKG (see its "source" field),
included for format illustration only.
2. YOUR RESPONSIBILITY
----------------------
To reproduce the full benchmark you must obtain AcuKG yourself and comply with
AcuKG's own terms of use. Running `build_acubench.py` reads YOUR local AcuKG
clone and writes the labels to YOUR machine; nothing AcuKG-derived is fetched
from or stored in this repository.
3. ATTRIBUTION
--------------
When using AcuBench, please cite both AcuBench and the upstream AcuKG project.
We recommend AcuKG's authors add an explicit LICENSE; contacting them for
permission or clarification is encouraged. This build-script pattern is our
good-faith method of sharing a reproducible benchmark without redistributing
unlicensed third-party data.