{
    "info": {
        "author": "Anastasis Germanidis",
        "author_email": "agermanidis@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Framework :: Jupyter",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
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        "description": "\n\ud83d\udc26 pigeon - Quickly annotate data on Jupyter\n========================\n\nPigeon is a simple widget that lets you quickly annotate a dataset of\nunlabeled examples from the comfort of your Jupyter notebook.\n\nPigeon currently supports annotation for classification tasks (set of\nlabels), regression tasks (int/float range), or captioning tasks\n(variable-length text). Anything that can be displayed on Jupyter\n(text, images, audio, graphs, etc.) can be displayed by pigeon\nby providing the appropriate :code:`display_fn` argument.\n\nExamples\n-----\n\n- Text classification\n\nCode: \n\n.. code-block:: python\n\n    from pigeon import annotate\n    annotations = annotate(\n      ['I love this movie', 'I was really disappointed by the book'],\n      options=['positive', 'negative']\n    )\n\n\nPreview:\n\n.. image:: http://i.imgur.com/00ry4Li.gif\n\n- Image classification\n\nCode: \n\n.. code-block:: python\n\n    from pigeon import annotate\n    from IPython.display import display, Image\n\n    annotations = annotate(\n      ['assets/img_example1.jpg', 'assets/img_example2.jpg'],\n      options=['cat', 'dog', 'horse'],\n      display_fn=lambda filename: display(Image(filename))\n    )\n\nPreview:\n\n.. image:: http://i.imgur.com/PiE3eDt.gif\n",
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        "license": "Apache 2.0",
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        "name": "pigeon-jupyter",
        "package_url": "https://pypi.org/project/pigeon-jupyter/",
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        "summary": "Quickly annotate data on Jupyter notebooks.",
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