dumping/common-crawl/parse-common-crawl-bert.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !wget https://malaya-dataset.s3-ap-southeast-1.amazonaws.com/dumping/common-crawl/feather.zip\n",
    "# !unzip feather.zip\n",
    "# !pip3 install gpt-2-simple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55982"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from glob import glob\n",
    "files = glob('feather/*.feather')\n",
    "len(files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "texts = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def combined(rows):\n",
    "    rows = rows.sort_index(ascending=True)\n",
    "    return [row for row in rows]     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 55982/55982 [09:22<00:00, 99.56it/s] \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "\n",
    "for f in tqdm(files):\n",
    "    df = pd.read_feather(f)\n",
    "    sentences = df.groupby(['domain', 'tld']).agg({'sentence': combined})['sentence'].tolist()\n",
    "    for sentence in sentences:\n",
    "        texts.extend(sentence + [''])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('dumping-commmon-crawl.txt', 'w') as fopen:\n",
    "    fopen.write('\\n'.join(texts))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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