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   "metadata": {},
   "source": [
    "# Data download"
   ]
  },
  {
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   "execution_count": null,
   "id": "43fa33c5-070f-402e-aaf0-0be00198010f",
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    "\n",
    "# If you want to create dataset from latest wiki dump, follow the steps below\n",
    "\n",
    "# Download latest wiki dump from here\n",
    "# downloads around 20 GB compressed file. Time taking process. took me 1 day \n",
    "! wget -c https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles-multistream.xml.bz2\n",
    "\n",
    "# extract files using wikiextractor (take a few hours)\n",
    "! python3 -m wikiextractor.WikiExtractor enwiki-latest-pages-articles-multistream.xml.bz2 --json\n",
    "\n",
    "# get cricket records in a separate file\n",
    "# take a few minutes\n",
    "! grep -hi cricket text/*/* > cricket.jsonl\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e23e0fae-2c6e-44af-b370-88c72db1dc4a",
   "metadata": {},
   "source": [
    "# Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df506da6-2989-4ca7-8a43-fd5177528a0c",
   "metadata": {},
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   "source": [
    "# clean data\n",
    "import pandas as pd\n",
    "df = pd.read_json(\"cricket.jsonl\", lines=True)\n",
    "print(len(df))\n",
    "# clean df rows with empty text\n",
    "df = df[df[\"text\"]!=\"\"]\n",
    "print(f\"non empty records: {len(df)}\")\n",
    "# clean df rows with lower case text not containing cricket\n",
    "df = df[~(df[\"text\"].str.lower().str.contains(\"cricket\")==False)]\n",
    "print(f\"cricket_records: {len(df)}\")\n",
    "# write df to jsonl\n",
    "with open(\"cricket.jsonl\", \"w\") as fp:\n",
    "    print(df.to_json(orient='records', lines=True), file=fp)"
   ]
  }
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