TLT12 dataset — license for the DATA
====================================

This file covers the rendered data in this release: the WebDataset shards under
`shards/`, the animated previews under `examples/`, and the accompanying
metadata (`dataset_info.json`, `stats.json`, `synset_labels.json`).

It does NOT cover the source code shipped alongside it (`wds_dataset.py`,
`example_load.py`, `verify_release.py`, `make_release_manifest.py`), which is
licensed under the GNU General Public License v3.0 — see `LICENSE-CODE`.


License
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Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

    https://creativecommons.org/licenses/by-nc/4.0/
    Legal code: https://creativecommons.org/licenses/by-nc/4.0/legalcode

The full legal code at the URL above is incorporated here by reference and is
the authoritative text. In short, 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, provide a link to the
                    license, and indicate if changes were made.
  * NonCommercial — You may not use the material for commercial purposes.


Upstream terms — ShapeNet
-------------------------

TLT12 consists of images rendered from 3D models in ShapeNetCore.v2. The
underlying 3D models are not ours and are not redistributed here, but this
dataset is a derived work of them. Your use of TLT12 is therefore additionally
subject to the ShapeNet Terms of Use:

    https://shapenet.org/terms

The NonCommercial clause above is chosen to stay consistent with those terms.
Where the two licenses differ, the more restrictive condition applies.


Citation request
----------------

CC BY-NC 4.0 requires attribution. We ask that you satisfy it by citing the
paper that introduced this dataset — see `CITATION.cff` or the "Citation"
section of `README.md` for the BibTeX entry. Please also cite ShapeNet, and,
because the generator derives from it, the 3DIEBench / SIE paper by Garrido
et al.