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   "source": [
    "#dependencies\n",
    "!pip install datasets\n",
    "!pip install tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5829cbc-ff56-435a-a3c8-afdb19f4cfa7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "from tqdm import tqdm\n",
    "\n",
    "subsets = [('bg', 'lv'),('cs', 'lv'),('da', 'lv'),('de', 'lv'),('el', 'lv'),('en', 'lv'),('es', 'lv'),\n",
    "           ('et', 'lv'),('fi', 'lv'),('fr', 'lv'),('hu', 'lv'),('it', 'lv'),('lt', 'lv'),('lv', 'nl'),\n",
    "           ('lv', 'pl'),('lv', 'pt'),('lv', 'ro'),('lv', 'sk'), ('lv', 'sl'),('lv', 'sv')]\n",
    "\n",
    "with open('europarl_lv.txt', 'w') as file:\n",
    "    for subset in tqdm(subsets):\n",
    "        print(f'Downloading subset: {subset[0]} - {subset[1]}')\n",
    "        \n",
    "        dataset = load_dataset('europarl_bilingual', lang1=subset[0], lang2=subset[1], split='train')\n",
    "\n",
    "        for entry in tqdm(dataset):   \n",
    "            file.write(f'{entry[\"translation\"][\"lv\"]}\\n')\n",
    "    \n",
    "    file.close()\n",
    "\n",
    "print('Done')  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b87ada0a-8ced-46a5-a7b5-46d7bb52c9b3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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