grm-tcm/LICENSE-DATA at main · peersky/grm-tcm · GitHub

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CC Attribution 4.0 International (CC BY 4.0)

This license applies to the non-code assets of this repository, namely:
  - synthetic_grm_tcm/*.csv and synthetic_grm_tcm/metadata.json
    (the synthetic dataset)
  - grm_tcm_diagnostics/*, grm_tcm_dynamic/*, grm_tcm_dynamic_eval/*,
    grm_tcm_results/*, grm_tcm_experiments/*
    (generated diagnostic CSVs, JSON certificates, and PNG plots)
  - *.md documentation files (README.md, CLAUDE.md, PROJECT.md, etc.)

Code in this repository (Python source files, build configuration) is
licensed under Apache License 2.0; see ./LICENSE.

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Copyright (c) 2026 Tadej Fius, Tims Pecerskis, and contributors

You are free to:
  - Share — copy and redistribute the material in any medium or format
  - Adapt — remix, transform, and build upon the material for any purpose,
    even commercially.

The licensor cannot revoke these freedoms as long as you follow the
license terms.

Under the following terms:
  - Attribution — You must give appropriate credit, provide a link to the
    license, and indicate if changes were made. You may do so in any
    reasonable manner, but not in any way that suggests the licensor
    endorses you or your use.

  - No additional restrictions — You may not apply legal terms or
    technological measures that legally restrict others from doing
    anything the license permits.

Notices:
  - You do not have to comply with the license for elements of the
    material in the public domain or where your use is permitted by an
    applicable exception or limitation.
  - No warranties are given. The license may not give you all of the
    permissions necessary for your intended use. For example, other
    rights such as publicity, privacy, or moral rights may limit how you
    use the material.

Full legal text:
  https://creativecommons.org/licenses/by/4.0/legalcode

Human-readable summary:
  https://creativecommons.org/licenses/by/4.0/

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How to attribute (suggested form):

  Data from "GRM-TCM Synthetic Benchmark" by Tadej Fius and Tims Pecerskis
  (2026), licensed under CC BY 4.0. https://github.com/tfius/grm-tcm

Or in BibTeX:

  See ./CITATION.cff for the canonical citation in CFF format; common
  generators (Zenodo, GitHub "Cite this repository") will convert it to
  BibTeX automatically.

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Scientific framing (non-license, important):

This is a synthetic benchmark for latent-state recovery and ontology
mismatch detection. It is NOT a biological simulator and does NOT
constitute evidence for Traditional Chinese Medicine, Qi, or any
clinical claim. Any work building on this dataset should preserve that
framing.