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        "author": "Armand Boschin",
        "author_email": "aboschin@enst.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.7"
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        "description": "============\nWikiDataSets\n============\n\n\n.. image:: https://img.shields.io/pypi/v/wikidatasets.svg\n        :target: https://pypi.python.org/pypi/wikidatasets\n\n.. image:: https://img.shields.io/travis/armand33/wikidatasets.svg\n        :target: https://travis-ci.org/armand33/wikidatasets\n\n.. image:: https://readthedocs.org/projects/wikidatasets/badge/?version=latest\n        :target: https://wikidatasets.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n.. image:: https://pyup.io/repos/github/armand33/wikidatasets/shield.svg\n     :target: https://pyup.io/repos/github/armand33/wikidatasets/\n     :alt: Updates\n\n\n\nBreaking WikiData dumps into smaller knowledge graphs (e.g. graph of human entities).\n\n\n* Free software: BSD license\n* Documentation: https://wikidatasets.readthedocs.io.\n* Paper: https://arxiv.org/abs/1906.04536\n\nData Sets\n---------\nData sets are available on this `page <https://graphs.telecom-paristech.fr/Home_page.html#wikidatasets-section)>`_.\n\nFeatures\n--------\n\nThis is a non-exhaustive list of useful functions :\n\n* ``wikidatasets.processFunction.get_subclasses`` : Gets a list of WikiData IDs of entities which are subclasses of the subject.\n* ``wikidatasets.processFunction.query_wikidata_dump`` : Goes through a Wikidata dump. It can either collect entities that are instances of test_entities or collect the dictionary of labels. It can also do both.\n* ``wikidatasets.processFunction.build_dataset`` : Builds datasets from the pickle files produced by the query_wikidata_dump.\n* ``wikidatasets.utils.load_data_labels`` : Loads the edges and attributes files into Pandas dataframes and merges the labels of entities and relations to get.\n\nThe example/ folder contains examples of scripts to create datasets (e.g. `build_humans.py <https://github.com/armand33/WikiDataSets/blob/master/examples/build_humans.py>`_).\nSuch scripts should be placed in the main directory (along with ``utils.py``, ``processFunctions.py``) and hard-coded paths should be tuned to match your installation.\n\nCitations\n---------\n\nIf you find this code useful in your research, please consider citing our `paper <https://arxiv.org/abs/1906.04536>`_:\n\n.. code-block::\n\n    @misc{arm2019wikidatasets,\n        title={WikiDataSets : Standardized sub-graphs from WikiData},\n        author={Armand Boschin},\n        year={2019},\n        eprint={1906.04536},\n        archivePrefix={arXiv},\n        primaryClass={cs.LG}\n    }\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.2.0 (2019-07-02)\n------------------\n\n* Added export of a nodes.txt to the build_dataset function.\n\n\n\n0.1.0 (2019-07-01)\n------------------\n\n* First release on PyPI.\n\n\n",
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