.. _download:

Download and resources
======================

.. note::

   This dataset is released under the `Creative Commons Attribution 4.0
   International License <https://creativecommons.org/licenses/by/4.0/>`_.


.. note::

   When using the *IntPhys* dataset for publications, please cite our paper on
   `arxiv <https://arxiv.org/abs/1803.07616>`_


.. _datasets:

Datasets
--------

Click on the links below to download the intphys datasets.

* Train dataset includes 15k scenes with full metadata.
* Test datasets include 1080 scenes for each block without metadata.
* Development dataset includes 30 scenes for each block with partial metadata
  (physical plausibility of the scene is given).
* The entire dataset has a size of about 250G.

=================== ============================= ======= ====================================
File                Description                   Size    MD5 sum
=================== ============================= ======= ====================================
`starting_kit.zip`_ Challenge starting kit        180K    ``cf699d546892d206c51ceff352a2534c``
`dev.tar.gz`_       Development data (all blocks) 3G      ``6a72715007f2f3b0e9546bfa8d8fc39b``
`test.O1.tar.gz`_   Test data (block O1)          36G     ``cc998a7a1b14bba988bd1ef31ae6cd6b``
`test.O2.tar.gz`_   Test data (block O2)          36G     ``d6d8475bfd06298e938b8925ad326e7e``
`test.O3.tar.gz`_   Test data (block O3)          36G     ``318445e082357e1256eff63a96348c8b``
`train.1.tar.gz`_   Train data (1/4)              35G     ``3428bcf398441a489111528634530212``
`train.2.tar.gz`_   Train data (2/4)              35G     ``47dc1c3578e079584f4e3b5b8ab8304b``
`train.3.tar.gz`_   Train data (3/4)              35G     ``389782958ad058f7a7e1db2b07748259``
`train.4.tar.gz`_   Train data (4/4)              35G     ``7d345eaa3a33d2abc4a75442eefb277a``
=================== ============================= ======= ====================================


.. _resources:

Additional resources
--------------------

* Download the paper at https://arxiv.org/abs/1803.07616.

* Source code for data generation (train videos only) is available at
  https://github.com/bootphon/intphys. The code for test videos generation is
  kept private.

* Source code for baselines at https://github.com/rronan/IntPhys-Baselines.

* BibTex citation of the reference paper for the dataset:

.. code-block:: bibtex

   @article{DBLP:journals/corr/abs-1803-07616,
      author    = {Ronan Riochet and
                   Mario Ynocente Castro and
                   Mathieu Bernard and
                   Adam Lerer and
                   Rob Fergus and
                   V{\'{e}}ronique Izard and
                   Emmanuel Dupoux},
      title     = {IntPhys: {A} Framework and Benchmark for Visual Intuitive Physics
                   Reasoning},
      journal   = {CoRR},
      volume    = {abs/1803.07616},
      year      = {2018},
      url       = {http://arxiv.org/abs/1803.07616},
      archivePrefix = {arXiv},
      eprint    = {1803.07616},
      timestamp = {Mon, 13 Aug 2018 16:47:10 +0200},
      biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1803-07616},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }


.. _dev.tar.gz: https://download-intphys.cognitive-ml.fr/dev.tar.gz
.. _test.O1.tar.gz: https://download-intphys.cognitive-ml.fr/test.O1.tar.gz
.. _test.O2.tar.gz: https://download-intphys.cognitive-ml.fr/test.O2.tar.gz
.. _test.O3.tar.gz: https://download-intphys.cognitive-ml.fr/test.O3.tar.gz
.. _train.1.tar.gz: https://download-intphys.cognitive-ml.fr/train.1.tar.gz
.. _train.2.tar.gz: https://download-intphys.cognitive-ml.fr/train.2.tar.gz
.. _train.3.tar.gz: https://download-intphys.cognitive-ml.fr/train.3.tar.gz
.. _train.4.tar.gz: https://download-intphys.cognitive-ml.fr/train.4.tar.gz
.. _starting_kit.zip: https://download-intphys.cognitive-ml.fr/starting_kit.zip