KD
Copyright 2026 Mao, Hao and the Scientific Artificial Intelligence Lab

This product includes software developed by Mao, Hao and the
Scientific Artificial Intelligence Lab
(https://github.com/Scientific-Artificial-Intelligence-Lab/kd).

-------------------------------------------------------------------

This product bundles reference benchmark datasets from the
SGA-PDE project by Yuntian Chen et al., used under the MIT License:

  Copyright (c) 2021 Yuntian Chen
  https://github.com/YuntianChen/SGA-PDE

The bundled files are:
  src/kd/_assets/data/Burgers_equation.mat
  src/kd/_assets/data/KdV_equation.mat
  src/kd/_assets/data/PDE_compound.npy
  src/kd/_assets/data/PDE_divide.npy
  src/kd/_assets/data/chafee_infante_CI.npy
  src/kd/_assets/data/chafee_infante_t.npy
  src/kd/_assets/data/chafee_infante_x.npy

A copy of the MIT License is reproduced below.

  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.

-------------------------------------------------------------------

This product bundles reference benchmark datasets from the EqGPT
project by Xu, H. et al., used under the Apache License, Version 2.0
(the same license as this product; see LICENSE):

  https://github.com/woshixuhao/EqGPT
  Xu, H. et al. Nat. Commun. 16, 10255 (2025), doi:10.1038/s41467-025-65114-2

The bundled files are:
  src/kd/_assets/data/eqgpt_allen_cahn.mat
  src/kd/_assets/data/eqgpt_burgers_2d.mat
  src/kd/_assets/data/eqgpt_convection_diffusion.mat
  src/kd/_assets/data/eqgpt_eq_6_2_12.csv
  src/kd/_assets/data/eqgpt_klein_gordon.mat
  src/kd/_assets/data/eqgpt_laplacian_eitech.xlsx
  src/kd/_assets/data/eqgpt_laplacian_smile.xlsx
  src/kd/_assets/data/eqgpt_pde_compound.csv
  src/kd/_assets/data/eqgpt_poisson_disk.xlsx
  src/kd/_assets/data/eqgpt_wave.mat

This product also bundles wave-breaking laboratory measurements from
the same project (Imperial College London wave-tank experiments
analysed in the paper above), with permission of the authors:

  src/kd/_assets/data/wave_breaking_N_G2Tp12A100_broad.npz

The EqGPT search engine in this product is an independent
re-implementation; only the datasets above are bundled from the EqGPT
project. The pretrained GPT proposer weights (PDEGPT_wave_breaking.pt,
~152 MB) and the per-case wave-breaking surrogate checkpoints are not
part of this package: they are redistributed with permission of the
authors on the Hugging Face Hub (timeoutHao/KD-data, pinned revision,
sha256-verified), and the `eqgpt` search plugin downloads them on first
use, or reads a local copy named by KD_EQGPT_ASSET_DIR /
KD_V1_WAVE_ASSETS (see src/kd/_assets/data/DATASETS.md).
