BSD 3-Clause License

TinyDigits Dataset License
==========================

TinyDigits is a curated educational subset derived from the sklearn digits dataset.

Original Data Source:
---------------------
scikit-learn digits dataset (sklearn.datasets.load_digits)
- Derived from UCI ML hand-written digits datasets
- Copyright (c) 2007-2024 The scikit-learn developers
- License: BSD 3-Clause

TinyTorch Curation:
------------------
Copyright (c) 2025 TinyTorch Project

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
   contributors may be used to endorse or promote products derived from
   this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Attribution
-----------
When using TinyDigits in research or educational materials, please cite:

1. The original sklearn digits dataset:
   Pedregosa et al., "Scikit-learn: Machine Learning in Python",
   JMLR 12, pp. 2825-2830, 2011.

2. TinyTorch's educational curation:
   TinyTorch Project (2025). "TinyDigits: Curated Educational Dataset
   for ML Systems Learning". Available at: https://github.com/VJHack/TinyTorch