notebooks/data_preparation/train/train-target-containers.ipynb

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      "Collecting transliterate\r\n",
      "  Downloading transliterate-1.10.2-py2.py3-none-any.whl (45 kB)\r\n",
      "\u001b[K     |████████████████████████████████| 45 kB 1.1 MB/s \r\n",
      "\u001b[?25hRequirement already satisfied: six>=1.1.0 in /opt/conda/lib/python3.7/site-packages (from transliterate) (1.16.0)\r\n",
      "Installing collected packages: transliterate\r\n",
      "Successfully installed transliterate-1.10.2\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\r\n"
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   "source": [
    "import pandas as pd\n",
    "import sys"
   ]
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   "source": [
    "## Wikimatcher Containers"
   ]
  },
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     "text": [
      "Cloning into 'wikimatcher'...\r\n",
      "remote: Enumerating objects: 324, done.\u001b[K\r\n",
      "remote: Counting objects: 100% (324/324), done.\u001b[K\r\n",
      "remote: Compressing objects: 100% (226/226), done.\u001b[K\r\n",
      "remote: Total 324 (delta 216), reused 200 (delta 95), pack-reused 0\u001b[K\r\n",
      "Receiving objects: 100% (324/324), 40.50 KiB | 4.05 MiB/s, done.\r\n",
      "Resolving deltas: 100% (216/216), done.\r\n"
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   "source": [
    "!git clone https://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@github.com/basic-go-ahead/wikimatcher.git\n",
    "!mkdir containers"
   ]
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    "sys.path.append('./wikimatcher')\n",
    "\n",
    "from wikimatcher.containers import TargetNumberContainer, TargetNamedEntitySnipContainer, TargetCapitalWordContainer, \\\n",
    "    AcronymContainer"
   ]
  },
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      "CPU times: user 1min 40s, sys: 881 ms, total: 1min 41s\n",
      "Wall time: 1min 41s\n"
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   "source": [
    "%%time\n",
    "\n",
    "entities_sources = [\n",
    "    '../input/caption-original-ner-part1-3/image_entities.dump', \\\n",
    "    '../input/caption-original-ner-part2-3/image_entities.dump', \\\n",
    "    '../input/caption-original-ner-part3-3/image_entities.dump', \\\n",
    "    '../input/title-final-ner-part1-3/final_page_title_entities.dump', \\\n",
    "    '../input/title-final-ner-part2-3/final_page_title_entities.dump', \\\n",
    "    '../input/title-final-ner-part3-3/final_page_title_entities.dump', \\\n",
    "    '../input/title-lang-ner/page_title_lang_entities.dump', \\\n",
    "    '../input/caption-lang-ner/caption_lang_entities.dump']\n",
    "\n",
    "snips = TargetNamedEntitySnipContainer()\n",
    "snips.process(entities_sources)\n",
    "snips.save('./containers/snips.tsc')"
   ]
  },
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      "CPU times: user 50.4 s, sys: 823 ms, total: 51.2 s\n",
      "Wall time: 53.1 s\n"
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   "source": [
    "%%time\n",
    "\n",
    "matchings = pd.read_csv('../input/combiner-target-dataset-0-of-5/final_matchings.csv', keep_default_na=False)\n",
    "\n",
    "target_numbers = TargetNumberContainer(matchings)\n",
    "target_numbers.save('./containers/numbers.tnc')\n",
    "\n",
    "target_capitals = TargetCapitalWordContainer()\n",
    "target_capitals.process(matchings)\n",
    "target_capitals.save('./containers/capitals.tcwc')\n",
    "\n",
    "AcronymContainer(). \\\n",
    "    process(matchings, columns2process=['final_page_title', 'final_caption'], id_column='target_id'). \\\n",
    "    save('./containers/capital_acronyms.ac')\n",
    "\n",
    "AcronymContainer(). \\\n",
    "    process_crudely(matchings, columns2process=['final_page_title', 'final_caption'], id_column='target_id'). \\\n",
    "    save('./containers/crude_acronyms.ac')"
   ]
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   "source": [
    "!rm -r ./wikimatcher"
   ]
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