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CONTRIBUTING.md

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+# How to Contribute
+
+We'd love to accept your patches and contributions to this project. There are
+just a few small guidelines you need to follow.
+
+## Contributor License Agreement
+
+Contributions to this project must be accompanied by a Contributor License
+Agreement. You (or your employer) retain the copyright to your contribution,
+this simply gives us permission to use and redistribute your contributions as
+part of the project. Head over to <https://cla.developers.google.com/> to see
+your current agreements on file or to sign a new one.
+
+You generally only need to submit a CLA once, so if you've already submitted one
+(even if it was for a different project), you probably don't need to do it
+again.
+
+## Code reviews
+
+All submissions, including submissions by project members, require review. We
+use GitHub pull requests for this purpose. Consult
+[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
+information on using pull requests.

LICENSE

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README.md

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+# dSprites - Disentanglement testing Sprites dataset
+
+This repository contains our dSprites dataset, used to assess the
+disentanglement properties of unsupervised learning methods.
+
+If you use this dataset in your work, please cite it as follows:
+
+## Bibtex
+
+```
+@misc{dsprites17,
+author = {Loic Matthey and Irina Higgins and Alexander Lerchner and Demis Hassabis},
+title = {dSprites: Disentanglement testing Sprites dataset},
+howpublished= {https://github.com/deepmind/dsprites-dataset/},
+year = "2017",
+}
+```
+
+## Description
+
+![dsprite_gif](dsprites.gif)
+
+We procedurally generated 2D shapes, depending on 6 disentangled latent factors.
+There are 6 latents factors, controlling the *color*, *shape*, *scale*,
+*rotation*, *x* and *y* positions of a sprite.
+
+All possible combinations of these latents are present exactly once,
+generating N = 737280 total images.
+
+### Latents values
+
+*   Shape: square, ellipse, heart
+*   Scale: 6 values linearly spaced in [0.5, 1]
+*   Orientation: 40 values in [0, 2 pi]
+*   Position X: 32 values in [0, 1]
+*   Position Y: 32 values in [0, 1]
+
+We varied one latent at a time (starting from Position Y, then Position X, etc),
+and sequentially stored the images in fixed order. Hence the order along the
+first dimension is fixed and allows you to map back to the value of the latents
+corresponding to that image.
+
+We chose the latents values deliberately to have the smallest steps changes
+while still ensuring that all pixel outputs were different. No noise was added.
+
+The data is a NPZ NumPy archive with the following fields:
+
+*   `imgs`: (737280 x 3 x 64 x 64, uint8) Images in RGB.
+*   `latents_values`: (737280 x 6, float64) Values of the latent factors.
+*   `latents_classes`: (737280 x 6, int64) Integer index of the latent factor
+    values. Useful as classification targets.
+*   `metadata`: some additional information, including the possible latent
+    values.
+
+Alternatively, a HDF5 version is also available, containing the same data,
+packed as Groups and Datasets.
+
+## Disentanglement metric
+
+This dataset was created to assess the disentanglement properties of
+unsupervised models. In other words, models should recover the ground truth
+latents presented above.
+
+You can see an example usage of this dataset, along with our proposed
+disentanglement metric to assess the disentanglement quality of a model in:
+
+[Higgins, Irina, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot,
+Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner. "beta-VAE: Learning
+basic visual concepts with a constrained variational framework." In *Proceedings
+of the International Conference on Learning Representations (ICLR).
+2017.*](https://openreview.net/forum?id=Sy2fzU9gl)
+
+## Disclaimers
+
+This is not an official Google product.
+
+The images were generated using the LOVE framework, which is licenced under
+zlib/libpng licence:
+
+```
+LOVE is Copyright (c) 2006-2016 LOVE Development Team
+
+This software is provided 'as-is', without any express or implied
+warranty. In no event will the authors be held liable for any damages
+arising from the use of this software.
+
+Permission is granted to anyone to use this software for any purpose,
+including commercial applications, and to alter it and redistribute it
+freely, subject to the following restrictions:
+
+1. The origin of this software must not be misrepresented; you must not
+claim that you wrote the original software. If you use this software
+in a product, an acknowledgment in the product documentation would be
+appreciated but is not required.
+
+2. Altered source versions must be plainly marked as such, and must not be
+misrepresented as being the original software.
+
+3. This notice may not be removed or altered from any source
+distribution.
+```