MIT License

Copyright (c) 2026 Zhuoqi Lyu

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


===========================================================================
Model Weights License — Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)

The pre-trained model weights (.pth files) distributed alongside this software
are licensed under CC BY-NC 4.0:

  https://creativecommons.org/licenses/by-nc/4.0/

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

Under the following terms:
  - Attribution — You must give appropriate credit
  - NonCommercial — You may not use the material for commercial purposes


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Benchmark Datasets

The benchmark datasets referenced in this project are collected from existing
public OCSR benchmarks and are NOT covered by the above licenses. Please refer
to their original sources for applicable license terms and attribution:

  Dataset       Source
  -------       ------
  USPTO, CLEF,  Rajan et al., 2020 — https://github.com/Kohulan/DECIMER-Image_Transformer
  JPO, UOB,
  Staker
  Indigo,       Qian et al., 2023 — https://github.com/thomas0809/MolScribe
  ChemDraw, ACS
  USPTO-10K     Morin et al., 2023 — https://github.com/DS4SD/molgrapher
  WildMol-10K   Fang et al., 2025 — https://github.com/orgs/Chem-Struct-ML/repositories
