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    "info": {
        "author": "Henry Rosales",
        "author_email": "hrosmendez@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Education",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "# wikitablewrapper\n\n\n**Install virtual ennvironment of python3**\n```sh\nsudo apt-get install curl\nsudo apt install python3-pip\nsudo apt install virtualenv\nvirtualenv env --python=python3\ncd env && source bin/activate\n```\n\n**Install dependencies**\n```sh\npip3 install simplejson\npip3 install xmltodict\n```\n\n**Install locally DBpedia Spotlight**\nUbuntu\n```sh\nsudo snap install docker\n```\nor Debian\n```sh\nwget https://download.docker.com/linux/debian/dists/jessie/pool/stable/amd64/docker-ce_17.03.0~ce-0~debian-jessie_amd64.deb\nsudo dpkg -i docker-ce_17.03.0~ce-0~debian-jessie_amd64.deb\n```\n\nSee if you have the image already in your computer\n```sh\nsudo docker image ls\n```\nif you don't have it, then run\n```sh\nsudo docker pull dbpedia/spotlight-english\nsudo docker run -d -p 2222:80 dbpedia/spotlight-english spotlight.sh\n```\n\nIf you have to stop it, see the CONTAINER ID, and then do it\n```sh\nsudo docker container ls\nsudo docker stop CONTAINER_ID\n```\ntest it\n> curl http://localhost:2222/rest/annotate   -H \"Accept: application/json\"   --data-urlencode \"text=Brazilian state-run giant oil company Petrobras signed a three-year technology and research cooperation agreement with oil service provider Halliburton.\"   --data \"confidence=0.3\"   --data \"support=20\"\n\n**To install this package, just run:**\n```sh\npip3 install -i https://test.pypi.org/simple/ wikitablewrapper\n```\n\n\n# How use it?\n\n\n```python\nwt = WikitableWrapper(20)\nwt.createHtmlFile = True\n\nwt.includeBabelfy = True\nwt.includeTagme = True\nwt.includeFremeNer = True\nwt.includeDBpediaSpotlightLocal = True\n\n# you can do, either\nwt.outputFolder=\"1Out\"  # Optional\nwt.processJson(\"1Tablas/1003231_2.json\")\n\n# or\nwt.ProcessFolderOfJson(\"100Tablas\",\"100Out\")\n```\n\nSee below an example of how use the Benchamrk class\n\n```python\nwb = WikitableBenchmark()\ndSys = {\"Babelfy\":\"_babelfy\", \"TagME\":\"_tagme\", \"FremeNER\":\"_fremener\", \"DBpedia Spotlight\":\"_dbpst\"}\nwb.MeasureF1_and_Summarize(\"100Tablas\",\"100Out\", dSys, \"100Benchmark\")\n```\n\n\n",
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        "home_page": "https://gitlab.com/hrosmendez/wikitablewrapper",
        "keywords": "NIF parser table NLP",
        "license": "",
        "maintainer": "",
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        "name": "wikitablewrapper",
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            "coverage ; extra == 'test'"
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        "summary": "Parsing, Proccesing, Annotating and Storing WikiTables in Json",
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