examples/generation_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UnvyQbdBJemf",
    "outputId": "6d557937-7fa2-424a-d817-0198c2f4d0b1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m55.5/55.5 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m227.1/227.1 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.2/8.2 MB\u001b[0m \u001b[31m84.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m86.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h  Building wheel for docopt (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
     ]
    }
   ],
   "source": [
    "!pip install --quiet pymorphy2 conllu razdel sentence-transformers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4RE2mA8ALDFS"
   },
   "source": [
    "## An example for generating minimal pairs using an UD Treebank\n",
    "\n",
    "Here, we show how to generate minimal pairs using an UD Treebank. The input sentences can be extracted from any text corpus and annotated by any morphosyntactic parser in the UD formatting scheme.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "BajSIASzlcY2"
   },
   "outputs": [],
   "source": [
    "%cd ../src"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "GSG78K1ZQ5ZP"
   },
   "outputs": [],
   "source": [
    "!wget https://github.com/UniversalDependencies/UD_Russian-SynTagRus/raw/master/ru_syntagrus-ud-dev.conllu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "oFt1LC15Q6Y5"
   },
   "outputs": [],
   "source": [
    "phenomena = [\n",
    "    \"aspect\",\n",
    "    \"tense\",\n",
    "    \"negation\",\n",
    "    \"reflexives\",\n",
    "    \"government\",\n",
    "    \"word_formation\",\n",
    "    \"word_inflection\",\n",
    "    \"argument_structure\",\n",
    "    \"agreement\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "SQgNfnrrlHWp"
   },
   "outputs": [],
   "source": [
    "for ph in phenomena:\n",
    "    !python generator.py --phenomenon {ph} --data_fname ru_syntagrus-ud-dev.conllu --output_fdir_name generated_data --sample True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "a7vXekeHoXiH"
   },
   "source": [
    "### The directory `generated_data` will contain folders with dataframes of generated minimal pairs. An example of how to load the generated pairs is the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "oxovocjNo0DJ",
    "outputId": "5c220e8c-78bc-4a57-d495-b97b6bdc45da"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "generated_data/agreement/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/argument_structure/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/aspect/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/government/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/negation/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/reflexives/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/tense/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/word_formation/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n",
      "\n",
      "generated_data/word_inflection/:\n",
      "ru_syntagrus-ud-dev.conllu.tsv\n"
     ]
    }
   ],
   "source": [
    "ls generated_data/*/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 283
    },
    "id": "6_94HTrVRDDo",
    "outputId": "cb13b0e8-22ad-4a97-82d9-a09bfec01008"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"agreement\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"sentence_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2013Algoritm.xml_69\",\n          \"2013Algoritm.xml_5\",\n          \"2013Algoritm.xml_11\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_sentence\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u0410\\u043d\\u0433\\u043b\\u0438\\u0439\\u0441\\u043a\\u0438\\u0439 \\u043f\\u043e\\u044d\\u0442 \\u0414\\u0436\\u0435\\u0444\\u0440\\u0438 \\u0427\\u043e\\u0441\\u0435\\u0440 \\u0432 \\u043f\\u043e\\u044d\\u043c\\u0435 \\\"\\u041a\\u043d\\u0438\\u0433\\u0430 \\u0433\\u0435\\u0440\\u0446\\u043e\\u0433\\u0438\\u043d\\u0438\\\" (1369 \\u0433.) \\u043f\\u0438\\u0448\\u0435\\u0442, \\u0447\\u0442\\u043e \\u0434\\u0430\\u0436\\u0435 \\\"\\u0441\\u043b\\u0430\\u0432\\u043d\\u044b\\u0439 \\u0441\\u0447\\u0435\\u0442\\u0447\\u0438\\u043a \\u0410\\u0440\\u0433\\u0443\\u0441\\\" (noble countour Argu) \\u043d\\u0435 \\u0441\\u043c\\u043e\\u0436\\u0435\\u0442 \\u0441\\u0447\\u0435\\u0441\\u0442\\u044c \\u0447\\u0443\\u0434\\u043e\\u0432\\u0438\\u0449, \\u044f\\u0432\\u0438\\u0432\\u0448\\u0438\\u0445\\u0441\\u044f \\u0432 \\u043a\\u043e\\u0448\\u043c\\u0430\\u0440\\u043d\\u044b\\u0445 \\u0432\\u0438\\u0434\\u0435\\u043d\\u0438\\u044f\\u0445 \\u0433\\u0435\\u0440\\u043e\\u044e.\",\n          \"\\u041d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0435 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438 \\u0438\\u043b\\u0438 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438, \\u0441\\u0442\\u0430\\u0432\\u0448\\u0438\\u0435 \\u043d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u043c\\u0438 \\u0438\\u0437-\\u0437\\u0430 \\u0437\\u0430\\u0432\\u0435\\u0440\\u0448\\u0435\\u043d\\u0438\\u044f \\u0440\\u0430\\u0431\\u043e\\u0442\\u044b \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439, \\u043e\\u0442 \\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0445 \\u043e\\u043d\\u0438 \\u0437\\u0430\\u0432\\u0438\\u0441\\u044f\\u0442, \\u043c\\u043e\\u0433\\u0443\\u0442 \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\u0441\\u044f \\u0432 \\u043f\\u0440\\u043e\\u0438\\u0437\\u0432\\u043e\\u043b\\u044c\\u043d\\u043e\\u043c \\u043f\\u043e\\u0440\\u044f\\u0434\\u043a\\u0435, \\u043f\\u0430\\u0440\\u0430\\u043b\\u043b\\u0435\\u043b\\u044c\\u043d\\u043e \\u0438\\u043b\\u0438 \\u043e\\u0434\\u043d\\u043e\\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u043d\\u043e, \\u0435\\u0441\\u043b\\u0438 \\u044d\\u0442\\u043e \\u043f\\u043e\\u0437\\u0432\\u043e\\u043b\\u044f\\u044e\\u0442 \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u0443\\u0435\\u043c\\u044b\\u0435 \\u043f\\u0440\\u043e\\u0446\\u0435\\u0441\\u0441\\u043e\\u0440 \\u0438 \\u043e\\u043f\\u0435\\u0440\\u0430\\u0446\\u0438\\u043e\\u043d\\u043d\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430.\",\n          \"\\\"\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c - \\u044d\\u0442\\u043e \\u0432\\u0441\\u044f\\u043a\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439, \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445 \\u043f\\u043e \\u0441\\u0442\\u0440\\u043e\\u0433\\u043e \\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u043d\\u044b\\u043c \\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c, \\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f \\u043f\\u043e\\u0441\\u043b\\u0435 \\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e \\u0447\\u0438\\u0441\\u043b\\u0430 \\u0448\\u0430\\u0433\\u043e\\u0432 \\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e \\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442 \\u043a \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e \\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\\". (\\u0410.\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432).\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_sentence\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u0410\\u043d\\u0433\\u043b\\u0438\\u0439\\u0441\\u043a\\u0438\\u0439 \\u043f\\u043e\\u044d\\u0442 \\u0414\\u0436\\u0435\\u0444\\u0440\\u0438 \\u0427\\u043e\\u0441\\u0435\\u0440 \\u0432 \\u043f\\u043e\\u044d\\u043c\\u0435 \\\" \\u041a\\u043d\\u0438\\u0433\\u0430 \\u0433\\u0435\\u0440\\u0446\\u043e\\u0433\\u0438\\u043d\\u0438 \\\" ( 1369 \\u0433. ) \\u043f\\u0438\\u0448\\u0435\\u0448\\u044c , \\u0447\\u0442\\u043e \\u0434\\u0430\\u0436\\u0435 \\\" \\u0441\\u043b\\u0430\\u0432\\u043d\\u044b\\u0439 \\u0441\\u0447\\u0435\\u0442\\u0447\\u0438\\u043a \\u0410\\u0440\\u0433\\u0443\\u0441 \\\" ( noble countour Argu ) \\u043d\\u0435 \\u0441\\u043c\\u043e\\u0436\\u0435\\u0442 \\u0441\\u0447\\u0435\\u0441\\u0442\\u044c \\u0447\\u0443\\u0434\\u043e\\u0432\\u0438\\u0449 , \\u044f\\u0432\\u0438\\u0432\\u0448\\u0438\\u0445\\u0441\\u044f \\u0432 \\u043a\\u043e\\u0448\\u043c\\u0430\\u0440\\u043d\\u044b\\u0445 \\u0432\\u0438\\u0434\\u0435\\u043d\\u0438\\u044f\\u0445 \\u0433\\u0435\\u0440\\u043e\\u044e .\",\n          \"\\u041d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0435 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438 \\u0438\\u043b\\u0438 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438 , \\u0441\\u0442\\u0430\\u0432\\u0448\\u0438\\u0435 \\u043d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u043c\\u0438 \\u0438\\u0437-\\u0437\\u0430 \\u0437\\u0430\\u0432\\u0435\\u0440\\u0448\\u0435\\u043d\\u0438\\u044f \\u0440\\u0430\\u0431\\u043e\\u0442\\u044b \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439 , \\u043e\\u0442 \\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0445 \\u043e\\u043d\\u0438 \\u0437\\u0430\\u0432\\u0438\\u0441\\u044f\\u0442 , \\u043c\\u043e\\u0433\\u0443\\u0442 \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\u0441\\u044f \\u0432 \\u043f\\u0440\\u043e\\u0438\\u0437\\u0432\\u043e\\u043b\\u044c\\u043d\\u043e\\u043c \\u043f\\u043e\\u0440\\u044f\\u0434\\u043a\\u0435 , \\u043f\\u0430\\u0440\\u0430\\u043b\\u043b\\u0435\\u043b\\u044c\\u043d\\u043e \\u0438\\u043b\\u0438 \\u043e\\u0434\\u043d\\u043e\\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u043d\\u043e , \\u0435\\u0441\\u043b\\u0438 \\u044d\\u0442\\u043e \\u043f\\u043e\\u0437\\u0432\\u043e\\u043b\\u044f\\u044e\\u0442 \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u0443\\u0435\\u043c\\u044b\\u0435 \\u043f\\u0440\\u043e\\u0446\\u0435\\u0441\\u0441\\u043e\\u0440 \\u0438 \\u043e\\u043f\\u0435\\u0440\\u0430\\u0446\\u0438\\u043e\\u043d\\u043d\\u043e\\u0439 \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 .\",\n          \"\\\" \\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c - \\u044d\\u0442\\u043e \\u0432\\u0441\\u044f\\u043a\\u043e\\u0439 \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439 , \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445 \\u043f\\u043e \\u0441\\u0442\\u0440\\u043e\\u0433\\u043e \\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u043d\\u044b\\u043c \\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c , \\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f \\u043f\\u043e\\u0441\\u043b\\u0435 \\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e \\u0447\\u0438\\u0441\\u043b\\u0430 \\u0448\\u0430\\u0433\\u043e\\u0432 \\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e \\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442 \\u043a \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e \\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0438 \\\" . ( \\u0410. \\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432 ) .\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"annotation\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"# sent_id = 2013Algoritm.xml_69\\n# text = \\u0410\\u043d\\u0433\\u043b\\u0438\\u0439\\u0441\\u043a\\u0438\\u0439 \\u043f\\u043e\\u044d\\u0442 \\u0414\\u0436\\u0435\\u0444\\u0440\\u0438 \\u0427\\u043e\\u0441\\u0435\\u0440 \\u0432 \\u043f\\u043e\\u044d\\u043c\\u0435 \\\"\\u041a\\u043d\\u0438\\u0433\\u0430 \\u0433\\u0435\\u0440\\u0446\\u043e\\u0433\\u0438\\u043d\\u0438\\\" (1369 \\u0433.) \\u043f\\u0438\\u0448\\u0435\\u0442, \\u0447\\u0442\\u043e \\u0434\\u0430\\u0436\\u0435 \\\"\\u0441\\u043b\\u0430\\u0432\\u043d\\u044b\\u0439 \\u0441\\u0447\\u0451\\u0442\\u0447\\u0438\\u043a \\u0410\\u0440\\u0433\\u0443\\u0441\\\" (noble countour Argu) \\u043d\\u0435 \\u0441\\u043c\\u043e\\u0436\\u0435\\u0442 \\u0441\\u0447\\u0435\\u0441\\u0442\\u044c \\u0447\\u0443\\u0434\\u043e\\u0432\\u0438\\u0449, \\u044f\\u0432\\u0438\\u0432\\u0448\\u0438\\u0445\\u0441\\u044f \\u0432 \\u043a\\u043e\\u0448\\u043c\\u0430\\u0440\\u043d\\u044b\\u0445 \\u0432\\u0438\\u0434\\u0435\\u043d\\u0438\\u044f\\u0445 \\u0433\\u0435\\u0440\\u043e\\u044e.\\n1\\t\\u0410\\u043d\\u0433\\u043b\\u0438\\u0439\\u0441\\u043a\\u0438\\u0439\\t\\u0430\\u043d\\u0433\\u043b\\u0438\\u0439\\u0441\\u043a\\u0438\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Gender=Masc|Number=Sing\\t2\\tamod\\t2:amod\\t_\\n2\\t\\u043f\\u043e\\u044d\\u0442\\t\\u043f\\u043e\\u044d\\u0442\\tNOUN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t15\\tnsubj\\t15:nsubj\\t_\\n3\\t\\u0414\\u0436\\u0435\\u0444\\u0440\\u0438\\t\\u0414\\u0436\\u0435\\u0444\\u0444\\u0440\\u0438\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t2\\tappos\\t2:appos\\t_\\n4\\t\\u0427\\u043e\\u0441\\u0435\\u0440\\t\\u0427\\u043e\\u0441\\u0435\\u0440\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t3\\tflat:name\\t3:flat:name\\t_\\n5\\t\\u0432\\t\\u0432\\tADP\\t_\\t_\\t6\\tcase\\t6:case\\t_\\n6\\t\\u043f\\u043e\\u044d\\u043c\\u0435\\t\\u043f\\u043e\\u044d\\u043c\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Loc|Gender=Fem|Number=Sing\\t15\\tobl\\t15:obl:\\u0432:loc\\t_\\n7\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t8\\tpunct\\t8:punct\\tSpaceAfter=No\\n8\\t\\u041a\\u043d\\u0438\\u0433\\u0430\\t\\u043a\\u043d\\u0438\\u0433\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t6\\tappos\\t6:appos\\t_\\n9\\t\\u0433\\u0435\\u0440\\u0446\\u043e\\u0433\\u0438\\u043d\\u0438\\t\\u0433\\u0435\\u0440\\u0446\\u043e\\u0433\\u0438\\u043d\\u044f\\tNOUN\\t_\\tAnimacy=Anim|Case=Gen|Gender=Fem|Number=Sing\\t8\\tnmod\\t8:nmod:gen\\tSpaceAfter=No\\n10\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t8\\tpunct\\t8:punct\\t_\\n11\\t(\\t(\\tPUNCT\\t_\\t_\\t13\\tpunct\\t13:punct\\tSpaceAfter=No\\n12\\t1369\\t1369\\tADJ\\t_\\tDegree=Pos\\t13\\tamod\\t13:amod\\t_\\n13\\t\\u0433.\\t\\u0433\\u043e\\u0434\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Masc|Number=Sing\\t6\\tparataxis\\t6:parataxis\\tSpaceAfter=No\\n14\\t)\\t)\\tPUNCT\\t_\\t_\\t13\\tpunct\\t13:punct\\t_\\n15\\t\\u043f\\u0438\\u0448\\u0435\\u0442\\t\\u043f\\u0438\\u0441\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t0\\troot\\t0:root\\tSpaceAfter=No\\tTrue\\n16\\t,\\t,\\tPUNCT\\t_\\t_\\t30\\tpunct\\t30:punct\\t_\\n17\\t\\u0447\\u0442\\u043e\\t\\u0447\\u0442\\u043e\\tSCONJ\\t_\\t_\\t30\\tmark\\t30:mark\\t_\\n18\\t\\u0434\\u0430\\u0436\\u0435\\t\\u0434\\u0430\\u0436\\u0435\\tPART\\t_\\t_\\t21\\tadvmod\\t21:advmod\\t_\\n19\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t21\\tpunct\\t21:punct\\tSpaceAfter=No\\n20\\t\\u0441\\u043b\\u0430\\u0432\\u043d\\u044b\\u0439\\t\\u0441\\u043b\\u0430\\u0432\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Gender=Masc|Number=Sing\\t21\\tamod\\t21:amod\\t_\\n21\\t\\u0441\\u0447\\u0451\\u0442\\u0447\\u0438\\u043a\\t\\u0441\\u0447\\u0435\\u0442\\u0447\\u0438\\u043a\\tNOUN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t30\\tnsubj\\t30:nsubj|31:nsubj\\t_\\n22\\t\\u0410\\u0440\\u0433\\u0443\\u0441\\t\\u0410\\u0440\\u0433\\u0443\\u0441\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t21\\tappos\\t21:appos\\tSpaceAfter=No\\n23\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t21\\tpunct\\t21:punct\\t_\\n24\\t(\\t(\\tPUNCT\\t_\\t_\\t25\\tpunct\\t25:punct\\tSpaceAfter=No\\n25\\tnoble\\tnoble\\tX\\t_\\tForeign=Yes\\t21\\tflat:foreign\\t21:flat:foreign\\t_\\n26\\tcountour\\tcountour\\tX\\t_\\tForeign=Yes\\t21\\tflat:foreign\\t21:flat:foreign\\t_\\n27\\tArgu\\tArgu\\tPROPN\\t_\\tForeign=Yes\\t21\\tflat:foreign\\t21:flat:foreign\\tSpaceAfter=No\\n28\\t)\\t)\\tPUNCT\\t_\\t_\\t27\\tpunct\\t27:punct\\t_\\n29\\t\\u043d\\u0435\\t\\u043d\\u0435\\tPART\\t_\\t_\\t30\\tadvmod\\t30:advmod\\t_\\n30\\t\\u0441\\u043c\\u043e\\u0436\\u0435\\u0442\\t\\u043c\\u043e\\u0447\\u044c\\tVERB\\t_\\tAspect=Perf|Mood=Ind|Number=Sing|Person=3|Tense=Fut|VerbForm=Fin|Voice=Act\\t15\\tccomp\\t15:ccomp\\t_\\tTrue\\n31\\t\\u0441\\u0447\\u0435\\u0441\\u0442\\u044c\\t\\u0441\\u0447\\u0435\\u0441\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|VerbForm=Inf|Voice=Act\\t30\\txcomp\\t30:xcomp\\t_\\n32\\t\\u0447\\u0443\\u0434\\u043e\\u0432\\u0438\\u0449\\t\\u0447\\u0443\\u0434\\u043e\\u0432\\u0438\\u0449\\u0435\\tNOUN\\t_\\tAnimacy=Anim|Case=Gen|Gender=Neut|Number=Plur\\t31\\tobl\\t31:obl:gen\\tSpaceAfter=No\\n33\\t,\\t,\\tPUNCT\\t_\\t_\\t34\\tpunct\\t34:punct\\t_\\n34\\t\\u044f\\u0432\\u0438\\u0432\\u0448\\u0438\\u0445\\u0441\\u044f\\t\\u044f\\u0432\\u0438\\u0442\\u044c\\u0441\\u044f\\tVERB\\t_\\tAspect=Perf|Case=Gen|Number=Plur|Tense=Past|VerbForm=Part|Voice=Mid\\t32\\tacl\\t32:acl\\t_\\n35\\t\\u0432\\t\\u0432\\tADP\\t_\\t_\\t37\\tcase\\t37:case\\t_\\n36\\t\\u043a\\u043e\\u0448\\u043c\\u0430\\u0440\\u043d\\u044b\\u0445\\t\\u043a\\u043e\\u0448\\u043c\\u0430\\u0440\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Loc|Degree=Pos|Number=Plur\\t37\\tamod\\t37:amod\\t_\\n37\\t\\u0432\\u0438\\u0434\\u0435\\u043d\\u0438\\u044f\\u0445\\t\\u0432\\u0438\\u0434\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Loc|Gender=Neut|Number=Plur\\t34\\tobl\\t34:obl:\\u0432:loc\\t_\\n38\\t\\u0433\\u0435\\u0440\\u043e\\u044e\\t\\u0433\\u0435\\u0440\\u043e\\u0439\\tNOUN\\t_\\tAnimacy=Anim|Case=Dat|Gender=Masc|Number=Sing\\t34\\tiobj\\t34:iobj\\tSpaceAfter=No\\n39\\t.\\t.\\tPUNCT\\t_\\t_\\t15\\tpunct\\t15:punct\\t_\\n\\n\",\n          \"# sent_id = 2013Algoritm.xml_5\\n# text = \\u041d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0435 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438 \\u0438\\u043b\\u0438 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438, \\u0441\\u0442\\u0430\\u0432\\u0448\\u0438\\u0435 \\u043d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u043c\\u0438 \\u0438\\u0437-\\u0437\\u0430 \\u0437\\u0430\\u0432\\u0435\\u0440\\u0448\\u0435\\u043d\\u0438\\u044f \\u0440\\u0430\\u0431\\u043e\\u0442\\u044b \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439, \\u043e\\u0442 \\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0445 \\u043e\\u043d\\u0438 \\u0437\\u0430\\u0432\\u0438\\u0441\\u044f\\u0442, \\u043c\\u043e\\u0433\\u0443\\u0442 \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\u0441\\u044f \\u0432 \\u043f\\u0440\\u043e\\u0438\\u0437\\u0432\\u043e\\u043b\\u044c\\u043d\\u043e\\u043c \\u043f\\u043e\\u0440\\u044f\\u0434\\u043a\\u0435, \\u043f\\u0430\\u0440\\u0430\\u043b\\u043b\\u0435\\u043b\\u044c\\u043d\\u043e \\u0438\\u043b\\u0438 \\u043e\\u0434\\u043d\\u043e\\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u043d\\u043e, \\u0435\\u0441\\u043b\\u0438 \\u044d\\u0442\\u043e \\u043f\\u043e\\u0437\\u0432\\u043e\\u043b\\u044f\\u044e\\u0442 \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u0443\\u0435\\u043c\\u044b\\u0435 \\u043f\\u0440\\u043e\\u0446\\u0435\\u0441\\u0441\\u043e\\u0440 \\u0438 \\u043e\\u043f\\u0435\\u0440\\u0430\\u0446\\u0438\\u043e\\u043d\\u043d\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430.\\n1\\t\\u041d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0435\\t\\u043d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Number=Plur\\t2\\tamod\\t2:amod\\t_\\n2\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Plur\\t18\\tnsubj\\t18:nsubj|19:nsubj\\t_\\n3\\t\\u0438\\u043b\\u0438\\t\\u0438\\u043b\\u0438\\tCCONJ\\t_\\t_\\t4\\tcc\\t4:cc\\t_\\n4\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0438\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Plur\\t2\\tconj\\t2:conj|18:nsubj|19:nsubj\\tSpaceAfter=No\\n5\\t,\\t,\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n6\\t\\u0441\\u0442\\u0430\\u0432\\u0448\\u0438\\u0435\\t\\u0441\\u0442\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Case=Nom|Number=Plur|Tense=Past|VerbForm=Part|Voice=Mid\\t4\\tacl\\t4:acl\\t_\\n7\\t\\u043d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u043c\\u0438\\t\\u043d\\u0435\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0439\\tADJ\\t_\\tCase=Ins|Degree=Pos|Number=Plur\\t6\\tobl\\t6:obl:ins\\t_\\n8\\t\\u0438\\u0437-\\u0437\\u0430\\t\\u0438\\u0437-\\u0437\\u0430\\tADP\\t_\\t_\\t9\\tcase\\t9:case\\t_\\n9\\t\\u0437\\u0430\\u0432\\u0435\\u0440\\u0448\\u0435\\u043d\\u0438\\u044f\\t\\u0437\\u0430\\u0432\\u0435\\u0440\\u0448\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Sing\\t6\\tobl\\t6:obl:\\u0438\\u0437\\u0437\\u0430:gen\\t_\\n10\\t\\u0440\\u0430\\u0431\\u043e\\u0442\\u044b\\t\\u0440\\u0430\\u0431\\u043e\\u0442\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Sing\\t9\\tnmod\\t9:nmod:gen\\t_\\n11\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Plur\\t10\\tnmod\\t10:nmod:gen|16:obl:\\u043e\\u0442:gen\\tSpaceAfter=No\\n12\\t,\\t,\\tPUNCT\\t_\\t_\\t16\\tpunct\\t16:punct\\t_\\n13\\t\\u043e\\u0442\\t\\u043e\\u0442\\tADP\\t_\\t_\\t14\\tcase\\t14:case\\t_\\n14\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0445\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0439\\tPRON\\t_\\tCase=Gen|PronType=Int,Rel|Gender=Fem\\t16\\tobl\\t11:ref\\t_\\n15\\t\\u043e\\u043d\\u0438\\t\\u043e\\u043d\\u0438\\tPRON\\t_\\tCase=Nom|Number=Plur|Person=3|PronType=Prs\\t16\\tnsubj\\t16:nsubj\\t_\\n16\\t\\u0437\\u0430\\u0432\\u0438\\u0441\\u044f\\u0442\\t\\u0437\\u0430\\u0432\\u0438\\u0441\\u0435\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t11\\tacl:relcl\\t11:acl:relcl\\tSpaceAfter=No\\tTrue\\n17\\t,\\t,\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n18\\t\\u043c\\u043e\\u0433\\u0443\\u0442\\t\\u043c\\u043e\\u0447\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t0\\troot\\t0:root\\t_\\tTrue\\n19\\t\\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\u0441\\u044f\\t\\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|VerbForm=Inf|Voice=Pass\\t18\\txcomp\\t18:xcomp\\t_\\n20\\t\\u0432\\t\\u0432\\tADP\\t_\\t_\\t22\\tcase\\t22:case\\t_\\n21\\t\\u043f\\u0440\\u043e\\u0438\\u0437\\u0432\\u043e\\u043b\\u044c\\u043d\\u043e\\u043c\\t\\u043f\\u0440\\u043e\\u0438\\u0437\\u0432\\u043e\\u043b\\u044c\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Loc|Degree=Pos|Gender=Masc|Number=Sing\\t22\\tamod\\t22:amod\\t_\\n22\\t\\u043f\\u043e\\u0440\\u044f\\u0434\\u043a\\u0435\\t\\u043f\\u043e\\u0440\\u044f\\u0434\\u043e\\u043a\\tNOUN\\t_\\tAnimacy=Inan|Case=Loc|Gender=Masc|Number=Sing\\t19\\tobl\\t19:obl:\\u0432:loc\\tSpaceAfter=No\\n23\\t,\\t,\\tPUNCT\\t_\\t_\\t24\\tpunct\\t24:punct\\t_\\n24\\t\\u043f\\u0430\\u0440\\u0430\\u043b\\u043b\\u0435\\u043b\\u044c\\u043d\\u043e\\t\\u043f\\u0430\\u0440\\u0430\\u043b\\u043b\\u0435\\u043b\\u044c\\u043d\\u043e\\tADV\\t_\\tDegree=Pos\\t22\\tconj\\t19:advmod|22:conj\\t_\\n25\\t\\u0438\\u043b\\u0438\\t\\u0438\\u043b\\u0438\\tCCONJ\\t_\\t_\\t26\\tcc\\t26:cc\\t_\\n26\\t\\u043e\\u0434\\u043d\\u043e\\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u043d\\u043e\\t\\u043e\\u0434\\u043d\\u043e\\u0432\\u0440\\u0435\\u043c\\u0435\\u043d\\u043d\\u043e\\tADV\\t_\\tDegree=Pos\\t22\\tconj\\t19:advmod|22:conj\\tSpaceAfter=No\\n27\\t,\\t,\\tPUNCT\\t_\\t_\\t30\\tpunct\\t30:punct\\t_\\n28\\t\\u0435\\u0441\\u043b\\u0438\\t\\u0435\\u0441\\u043b\\u0438\\tSCONJ\\t_\\t_\\t30\\tmark\\t30:mark\\t_\\n29\\t\\u044d\\u0442\\u043e\\t\\u044d\\u0442\\u043e\\tPRON\\t_\\tAnimacy=Inan|Case=Acc|Gender=Neut|Number=Sing|PronType=Dem\\t30\\tobj\\t30:obj\\t_\\n30\\t\\u043f\\u043e\\u0437\\u0432\\u043e\\u043b\\u044f\\u044e\\u0442\\t\\u043f\\u043e\\u0437\\u0432\\u043e\\u043b\\u044f\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t19\\tadvcl\\t19:advcl:\\u0435\\u0441\\u043b\\u0438\\t_\\tTrue\\n31\\t\\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u0443\\u0435\\u043c\\u044b\\u0435\\t\\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Case=Nom|Number=Plur|Tense=Pres|VerbForm=Part|Voice=Pass\\t32\\tamod\\t32:amod\\t_\\n32\\t\\u043f\\u0440\\u043e\\u0446\\u0435\\u0441\\u0441\\u043e\\u0440\\t\\u043f\\u0440\\u043e\\u0446\\u0435\\u0441\\u0441\\u043e\\u0440\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Masc|Number=Sing\\t30\\tnsubj\\t30:nsubj\\t_\\n33\\t\\u0438\\t\\u0438\\tCCONJ\\t_\\t_\\t35\\tcc\\t35:cc\\t_\\n34\\t\\u043e\\u043f\\u0435\\u0440\\u0430\\u0446\\u0438\\u043e\\u043d\\u043d\\u0430\\u044f\\t\\u043e\\u043f\\u0435\\u0440\\u0430\\u0446\\u0438\\u043e\\u043d\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Gender=Fem|Number=Sing\\t35\\tamod\\t35:amod\\t_\\n35\\t\\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430\\t\\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t32\\tconj\\t30:nsubj|32:conj\\tSpaceAfter=No\\n36\\t.\\t.\\tPUNCT\\t_\\t_\\t18\\tpunct\\t18:punct\\t_\\n\\n\",\n          \"# sent_id = 2013Algoritm.xml_11\\n# text = \\\"\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c - \\u044d\\u0442\\u043e \\u0432\\u0441\\u044f\\u043a\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439, \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445 \\u043f\\u043e \\u0441\\u0442\\u0440\\u043e\\u0433\\u043e \\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0451\\u043d\\u043d\\u044b\\u043c \\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c, \\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f \\u043f\\u043e\\u0441\\u043b\\u0435 \\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e \\u0447\\u0438\\u0441\\u043b\\u0430 \\u0448\\u0430\\u0433\\u043e\\u0432 \\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e \\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442 \\u043a \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e \\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\\". (\\u0410.\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432).\\n1\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\tSpaceAfter=No\\n2\\t\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\t\\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Masc|Number=Sing\\t6\\tnsubj\\t6:nsubj\\t_\\n3\\t-\\t-\\tPUNCT\\t_\\t_\\t2\\tpunct\\t2:punct\\t_\\n4\\t\\u044d\\u0442\\u043e\\t\\u044d\\u0442\\u043e\\tPRON\\t_\\tPronType=Dem\\t6\\texpl\\t6:expl\\t_\\n5\\t\\u0432\\u0441\\u044f\\u043a\\u0430\\u044f\\t\\u0432\\u0441\\u044f\\u043a\\u0438\\u0439\\tDET\\t_\\tCase=Nom|Gender=Fem|Number=Sing|PronType=Tot\\t6\\tdet\\t6:det\\t_\\n6\\t\\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430\\t\\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t0\\troot\\t0:root\\t_\\tTrue\\n7\\t\\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439\\t\\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Plur\\t6\\tnmod\\t6:nmod:gen\\tSpaceAfter=No\\n8\\t,\\t,\\tPUNCT\\t_\\t_\\t9\\tpunct\\t9:punct\\t_\\n9\\t\\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445\\t\\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Case=Gen|Number=Plur|Tense=Pres|VerbForm=Part|Voice=Pass\\t7\\tacl\\t7:acl\\t_\\n10\\t\\u043f\\u043e\\t\\u043f\\u043e\\tADP\\t_\\t_\\t13\\tcase\\t13:case\\t_\\n11\\t\\u0441\\u0442\\u0440\\u043e\\u0433\\u043e\\t\\u0441\\u0442\\u0440\\u043e\\u0433\\u043e\\tADV\\t_\\tDegree=Pos\\t12\\tadvmod\\t12:advmod\\t_\\n12\\t\\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0451\\u043d\\u043d\\u044b\\u043c\\t\\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Case=Dat|Number=Plur|Tense=Past|VerbForm=Part|Voice=Pass\\t13\\tacl\\t13:acl\\t_\\n13\\t\\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c\\t\\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Dat|Gender=Neut|Number=Plur\\t9\\tobl\\t9:obl:\\u043f\\u043e:dat\\tSpaceAfter=No\\n14\\t,\\t,\\tPUNCT\\t_\\t_\\t9\\tpunct\\t9:punct\\t_\\n15\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0439\\tPRON\\t_\\tCase=Nom|PronType=Int,Rel|Gender=Fem\\t21\\tnsubj\\t21:nsubj\\t_\\n16\\t\\u043f\\u043e\\u0441\\u043b\\u0435\\t\\u043f\\u043e\\u0441\\u043b\\u0435\\tADP\\t_\\t_\\t18\\tcase\\t18:case\\t_\\n17\\t\\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e\\t\\u043a\\u0430\\u043a\\u043e\\u0439-\\u043b\\u0438\\u0431\\u043e\\tDET\\t_\\tCase=Gen|Gender=Neut|Number=Sing|PronType=Ind\\t18\\tdet\\t18:det\\t_\\n18\\t\\u0447\\u0438\\u0441\\u043b\\u0430\\t\\u0447\\u0438\\u0441\\u043b\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Sing\\t21\\tobl\\t21:obl:\\u043f\\u043e\\u0441\\u043b\\u0435:gen\\t_\\n19\\t\\u0448\\u0430\\u0433\\u043e\\u0432\\t\\u0448\\u0430\\u0433\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Masc|Number=Plur\\t18\\tnmod\\t18:nmod:gen\\t_\\n20\\t\\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e\\t\\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e\\tADV\\t_\\tDegree=Pos\\t21\\tadvmod\\t21:advmod\\t_\\n21\\t\\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442\\t\\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t6\\tacl:relcl\\t6:acl\\t_\\tTrue\\n22\\t\\u043a\\t\\u043a\\tADP\\t_\\t_\\t23\\tcase\\t23:case\\t_\\n23\\t\\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e\\t\\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Dat|Gender=Neut|Number=Sing\\t21\\tobl\\t21:obl:\\u043a:dat\\t_\\n24\\t\\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439\\t\\u0441\\u0442\\u0430\\u0432\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Case=Gen|Gender=Fem|Number=Sing|Tense=Past|VerbForm=Part|Voice=Pass\\t25\\tamod\\t25:amod\\t_\\n25\\t\\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\t\\u0437\\u0430\\u0434\\u0430\\u0447\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Sing\\t23\\tnmod\\t23:nmod:gen\\tSpaceAfter=No\\n26\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\tSpaceAfter=No\\n27\\t.\\t.\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n28\\t(\\t(\\tPUNCT\\t_\\t_\\t29\\tpunct\\t29:punct\\tSpaceAfter=No\\n29\\t\\u0410.\\t\\u0410.\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t6\\tparataxis\\t6:parataxis\\tSpaceAfter=No\\n30\\t\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432\\t\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t29\\tflat:name\\t29:flat\\tSpaceAfter=No\\n31\\t)\\t)\\tPUNCT\\t_\\t_\\t29\\tpunct\\t29:punct\\tSpaceAfter=No\\n32\\t.\\t.\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"phenomenon\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"agreement\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"phenomenon_subtype\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"subj_predicate_agreement_gender_attractor\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_word\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u043f\\u0438\\u0448\\u0435\\u0442\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_word\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u043f\\u0438\\u0448\\u0435\\u0448\\u044c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_word_feats\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"{'id': 15, 'form': '\\u043f\\u0438\\u0448\\u0435\\u0442', 'lemma': '\\u043f\\u0438\\u0441\\u0430\\u0442\\u044c', 'upos': 'verb', 'head': 0, 'deprel': 'root', 'has_distractors': False, 'distractors_ids': '', 'phenomenon_subtype': 'subject-subj_nominal', 'distance': 12, 'skip_punct': False, 'controller_first': True, 'is_conjunct': False, 'agr_rel': {'subject-subj_nominal'}, 'agrees': {'subject-subj_nominal': {'number'}}, 'paradigm_homonyms': [], 'kind': 'agreer', 'Case': None, 'Gender': None, 'Person': '3', 'Number': 'sing', 'Animacy': None, 'Tense': 'pres', 'VerbForm': 'fin', 'Variant': None}\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_word_feats\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"{'id': 15, 'form': '\\u043f\\u0438\\u0448\\u0435\\u0448\\u044c', 'lemma': '\\u043f\\u0438\\u0441\\u0430\\u0442\\u044c', 'upos': 'verb', 'head': 0, 'deprel': 'root', 'has_distractors': False, 'distractors_ids': '', 'phenomenon_subtype': 'subject-subj_nominal', 'distance': 12, 'skip_punct': False, 'controller_first': True, 'is_conjunct': False, 'agr_rel': {'subject-subj_nominal'}, 'agrees': {'subject-subj_nominal': {'number'}}, 'paradigm_homonyms': [], 'kind': 'agreer', 'altered': True, 'Case': None, 'Gender': None, 'Person': '2', 'Number': 'sing', 'Animacy': None, 'Tense': 'pres', 'VerbForm': 'fin', 'Variant': None}\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"feature\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"gender\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"length\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7,\n        \"min\": 19,\n        \"max\": 39,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          39\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ipm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.09698134515546192,\n        \"min\": 0.75,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.75\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tree_depth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 7,\n        \"max\": 16,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-0f281793-4606-450d-a8d9-6f354e25dc2b\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence_id</th>\n",
       "      <th>source_sentence</th>\n",
       "      <th>target_sentence</th>\n",
       "      <th>annotation</th>\n",
       "      <th>phenomenon</th>\n",
       "      <th>phenomenon_subtype</th>\n",
       "      <th>source_word</th>\n",
       "      <th>target_word</th>\n",
       "      <th>source_word_feats</th>\n",
       "      <th>target_word_feats</th>\n",
       "      <th>feature</th>\n",
       "      <th>length</th>\n",
       "      <th>ipm</th>\n",
       "      <th>tree_depth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>2013Algoritm.xml_80</td>\n",
       "      <td>Новое с огромным трудом пробивало себе дорогу,...</td>\n",
       "      <td>Новое с огромным трудом пробивал себе дорогу ,...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_80\\n# text = Ново...</td>\n",
       "      <td>agreement</td>\n",
       "      <td>subj_predicate_agreement_gender_attractor</td>\n",
       "      <td>пробивало</td>\n",
       "      <td>пробивал</td>\n",
       "      <td>{'id': 5, 'form': 'пробивало', 'lemma': 'проби...</td>\n",
       "      <td>{'id': 5, 'form': 'пробивал', 'lemma': 'пробив...</td>\n",
       "      <td>gender</td>\n",
       "      <td>35</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>2013Algoritm.xml_69</td>\n",
       "      <td>Английский поэт Джефри Чосер в поэме \"Книга ге...</td>\n",
       "      <td>Английский поэт Джефри Чосер в поэме \" Книга г...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_69\\n# text = Англ...</td>\n",
       "      <td>agreement</td>\n",
       "      <td>noun_subj_predicate_agreement_person</td>\n",
       "      <td>пишет</td>\n",
       "      <td>пишешь</td>\n",
       "      <td>{'id': 15, 'form': 'пишет', 'lemma': 'писать',...</td>\n",
       "      <td>{'id': 15, 'form': 'пишешь', 'lemma': 'писать'...</td>\n",
       "      <td>person</td>\n",
       "      <td>39</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2013Algoritm.xml_11</td>\n",
       "      <td>\"Алгоритм - это всякая система вычислений, вып...</td>\n",
       "      <td>\" Алгоритм - это всякой система вычислений , в...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_11\\n# text = \"Алг...</td>\n",
       "      <td>agreement</td>\n",
       "      <td>np_agreement_case</td>\n",
       "      <td>всякая</td>\n",
       "      <td>всякой</td>\n",
       "      <td>{'id': 5, 'form': 'всякая', 'lemma': 'всякий',...</td>\n",
       "      <td>{'id': 5, 'form': 'всякой', 'lemma': 'всякий',...</td>\n",
       "      <td>case</td>\n",
       "      <td>32</td>\n",
       "      <td>0.956522</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>2013Algoritm.xml_91</td>\n",
       "      <td>Позднее и оно, в свою очередь, подверглось иск...</td>\n",
       "      <td>Позднее и оно , в свою очередь , подверглась и...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_91\\n# text = Позд...</td>\n",
       "      <td>agreement</td>\n",
       "      <td>subj_predicate_agreement_gender_attractor</td>\n",
       "      <td>подверглось</td>\n",
       "      <td>подверглась</td>\n",
       "      <td>{'id': 9, 'form': 'подверглось', 'lemma': 'под...</td>\n",
       "      <td>{'id': 9, 'form': 'подверглась', 'lemma': 'под...</td>\n",
       "      <td>gender</td>\n",
       "      <td>19</td>\n",
       "      <td>0.928571</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2013Algoritm.xml_5</td>\n",
       "      <td>Независимые инструкции или инструкции, ставшие...</td>\n",
       "      <td>Независимые инструкции или инструкции , ставши...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_5\\n# text = Незав...</td>\n",
       "      <td>agreement</td>\n",
       "      <td>np_agreement_case</td>\n",
       "      <td>операционная</td>\n",
       "      <td>операционной</td>\n",
       "      <td>{'id': 34, 'form': 'операционная', 'lemma': 'о...</td>\n",
       "      <td>{'id': 34, 'form': 'операционной', 'lemma': 'о...</td>\n",
       "      <td>case</td>\n",
       "      <td>36</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0f281793-4606-450d-a8d9-6f354e25dc2b')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-0f281793-4606-450d-a8d9-6f354e25dc2b button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-0f281793-4606-450d-a8d9-6f354e25dc2b');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "<div id=\"df-d68033e8-92d0-45de-b98f-5ee80f339e55\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d68033e8-92d0-45de-b98f-5ee80f339e55')\"\n",
       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "     width=\"24px\">\n",
       "    <g>\n",
       "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-d68033e8-92d0-45de-b98f-5ee80f339e55 button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "             sentence_id                                    source_sentence  \\\n",
       "808  2013Algoritm.xml_80  Новое с огромным трудом пробивало себе дорогу,...   \n",
       "666  2013Algoritm.xml_69  Английский поэт Джефри Чосер в поэме \"Книга ге...   \n",
       "126  2013Algoritm.xml_11  \"Алгоритм - это всякая система вычислений, вып...   \n",
       "928  2013Algoritm.xml_91  Позднее и оно, в свою очередь, подверглось иск...   \n",
       "55    2013Algoritm.xml_5  Независимые инструкции или инструкции, ставшие...   \n",
       "\n",
       "                                       target_sentence  \\\n",
       "808  Новое с огромным трудом пробивал себе дорогу ,...   \n",
       "666  Английский поэт Джефри Чосер в поэме \" Книга г...   \n",
       "126  \" Алгоритм - это всякой система вычислений , в...   \n",
       "928  Позднее и оно , в свою очередь , подверглась и...   \n",
       "55   Независимые инструкции или инструкции , ставши...   \n",
       "\n",
       "                                            annotation phenomenon  \\\n",
       "808  # sent_id = 2013Algoritm.xml_80\\n# text = Ново...  agreement   \n",
       "666  # sent_id = 2013Algoritm.xml_69\\n# text = Англ...  agreement   \n",
       "126  # sent_id = 2013Algoritm.xml_11\\n# text = \"Алг...  agreement   \n",
       "928  # sent_id = 2013Algoritm.xml_91\\n# text = Позд...  agreement   \n",
       "55   # sent_id = 2013Algoritm.xml_5\\n# text = Незав...  agreement   \n",
       "\n",
       "                            phenomenon_subtype   source_word   target_word  \\\n",
       "808  subj_predicate_agreement_gender_attractor     пробивало      пробивал   \n",
       "666       noun_subj_predicate_agreement_person         пишет        пишешь   \n",
       "126                          np_agreement_case        всякая        всякой   \n",
       "928  subj_predicate_agreement_gender_attractor   подверглось   подверглась   \n",
       "55                           np_agreement_case  операционная  операционной   \n",
       "\n",
       "                                     source_word_feats  \\\n",
       "808  {'id': 5, 'form': 'пробивало', 'lemma': 'проби...   \n",
       "666  {'id': 15, 'form': 'пишет', 'lemma': 'писать',...   \n",
       "126  {'id': 5, 'form': 'всякая', 'lemma': 'всякий',...   \n",
       "928  {'id': 9, 'form': 'подверглось', 'lemma': 'под...   \n",
       "55   {'id': 34, 'form': 'операционная', 'lemma': 'о...   \n",
       "\n",
       "                                     target_word_feats feature  length  \\\n",
       "808  {'id': 5, 'form': 'пробивал', 'lemma': 'пробив...  gender      35   \n",
       "666  {'id': 15, 'form': 'пишешь', 'lemma': 'писать'...  person      39   \n",
       "126  {'id': 5, 'form': 'всякой', 'lemma': 'всякий',...    case      32   \n",
       "928  {'id': 9, 'form': 'подверглась', 'lemma': 'под...  gender      19   \n",
       "55   {'id': 34, 'form': 'операционной', 'lemma': 'о...    case      36   \n",
       "\n",
       "          ipm  tree_depth  \n",
       "808  0.866667          14  \n",
       "666  0.750000          14  \n",
       "126  0.956522          11  \n",
       "928  0.928571           7  \n",
       "55   1.000000          16  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "\n",
    "agreement = pd.read_csv(\n",
    "    \"generated_data/agreement/ru_syntagrus-ud-dev.conllu.tsv\", sep=\"\\t\"\n",
    ")\n",
    "agreement.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "R5_ai9__qrRV",
    "outputId": "2e4c407b-5e55-4032-b17f-902854792e7c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "phenomenon_subtype\n",
       "np_agreement_case                            558\n",
       "np_agreement_number                           91\n",
       "noun_subj_predicate_agreement_gender          89\n",
       "np_agreement_gender                           87\n",
       "noun_subj_predicate_agreement_person          85\n",
       "noun_subj_predicate_agreement_number          75\n",
       "subj_predicate_agreement_gender_attractor     15\n",
       "subj_predicate_agreement_number_attractor     12\n",
       "floating_quantifier_agreement_case             2\n",
       "floating_quantifier_agreement_gender           1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agreement.phenomenon_subtype.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 189
    },
    "id": "3BP9vWHDa9qD",
    "outputId": "3c7a0591-b07a-4469-d106-f30a0d5512b5"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"negation\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"sentence_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"2013Algoritm.xml_3\",\n          \"2013Algoritm.xml_11\",\n          \"2013Algoritm.xml_90\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_sentence\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"\\u042d\\u0442\\u043e \\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043e \\u0441 \\u0442\\u0435\\u043c, \\u0447\\u0442\\u043e \\u0440\\u0430\\u0431\\u043e\\u0442\\u0430 \\u043a\\u0430\\u043a\\u0438\\u0445-\\u0442\\u043e \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439 \\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\u0430 \\u043c\\u043e\\u0436\\u0435\\u0442 \\u0431\\u044b\\u0442\\u044c \\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u0430 \\u043e\\u0442 \\u0434\\u0440\\u0443\\u0433\\u0438\\u0445 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439 \\u0438\\u043b\\u0438 \\u0440\\u0435\\u0437\\u0443\\u043b\\u044c\\u0442\\u0430\\u0442\\u043e\\u0432 \\u0438\\u0445 \\u0440\\u0430\\u0431\\u043e\\u0442\\u044b.\",\n          \"\\\"\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c - \\u044d\\u0442\\u043e \\u0432\\u0441\\u044f\\u043a\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439, \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445 \\u043f\\u043e \\u0441\\u0442\\u0440\\u043e\\u0433\\u043e \\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u043d\\u044b\\u043c \\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c, \\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f \\u043f\\u043e\\u0441\\u043b\\u0435 \\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e \\u0447\\u0438\\u0441\\u043b\\u0430 \\u0448\\u0430\\u0433\\u043e\\u0432 \\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e \\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442 \\u043a \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e \\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\\". (\\u0410.\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432).\",\n          \"\\u041c\\u043e\\u0436\\u043d\\u043e \\u043e\\u0431\\u0440\\u0430\\u0442\\u0438\\u0442\\u044c \\u0432\\u043d\\u0438\\u043c\\u0430\\u043d\\u0438\\u0435 \\u043d\\u0430 \\u0442\\u043e, \\u0447\\u0442\\u043e \\u043f\\u0435\\u0440\\u0432\\u043e\\u043d\\u0430\\u0447\\u0430\\u043b\\u044c\\u043d\\u0430\\u044f \\u0444\\u043e\\u0440\\u043c\\u0430 algorismi \\u0441\\u043f\\u0443\\u0441\\u0442\\u044f \\u043a\\u0430\\u043a\\u043e\\u0435-\\u0442\\u043e \\u0432\\u0440\\u0435\\u043c\\u044f \\u043f\\u043e\\u0442\\u0435\\u0440\\u044f\\u043b\\u0430 \\u043f\\u043e\\u0441\\u043b\\u0435\\u0434\\u043d\\u044e\\u044e \\u0431\\u0443\\u043a\\u0432\\u0443, \\u0438 \\u0441\\u043b\\u043e\\u0432\\u043e \\u043f\\u0440\\u0438\\u043e\\u0431\\u0440\\u0435\\u043b\\u043e \\u0431\\u043e\\u043b\\u0435\\u0435 \\u0443\\u0434\\u043e\\u0431\\u043d\\u044b\\u0439 \\u0434\\u043b\\u044f \\u0435\\u0432\\u0440\\u043e\\u043f\\u0435\\u0439\\u0441\\u043a\\u043e\\u0433\\u043e \\u043f\\u0440\\u043e\\u0438\\u0437\\u043d\\u043e\\u0448\\u0435\\u043d\\u0438\\u044f \\u0432\\u0438\\u0434 algorism.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_sentence\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"\\u042d\\u0442\\u043e \\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043e \\u0441 \\u0442\\u0435\\u043c, \\u0447\\u0442\\u043e \\u0440\\u0430\\u0431\\u043e\\u0442\\u0430 \\u043a\\u0430\\u043a\\u0438\\u0445-\\u0442\\u043e \\u043d\\u0438\\u043a\\u0430\\u043a\\u0438\\u0445 \\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\u0430 \\u043c\\u043e\\u0436\\u0435\\u0442 \\u0431\\u044b\\u0442\\u044c \\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u0430 \\u043e\\u0442 \\u0434\\u0440\\u0443\\u0433\\u0438\\u0445 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439 \\u0438\\u043b\\u0438 \\u0440\\u0435\\u0437\\u0443\\u043b\\u044c\\u0442\\u0430\\u0442\\u043e\\u0432 \\u0438\\u0445 \\u0440\\u0430\\u0431\\u043e\\u0442\\u044b.\",\n          \"\\\"\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c - \\u044d\\u0442\\u043e \\u0432\\u0441\\u044f\\u043a\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439, \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445 \\u043f\\u043e \\u0441\\u0442\\u0440\\u043e\\u0433\\u043e \\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u043d\\u044b\\u043c \\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c, \\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f \\u043f\\u043e\\u0441\\u043b\\u0435 \\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e \\u0447\\u0438\\u0441\\u043b\\u0430 \\u0448\\u0430\\u0433\\u043e\\u0432 \\u043d\\u0438\\u043a\\u0430\\u043a\\u043e\\u0433\\u043e \\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442 \\u043a \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e \\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\\". (\\u0410.\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432).\",\n          \"\\u041c\\u043e\\u0436\\u043d\\u043e \\u043e\\u0431\\u0440\\u0430\\u0442\\u0438\\u0442\\u044c \\u0432\\u043d\\u0438\\u043c\\u0430\\u043d\\u0438\\u0435 \\u043d\\u0430 \\u0442\\u043e, \\u0447\\u0442\\u043e \\u043f\\u0435\\u0440\\u0432\\u043e\\u043d\\u0430\\u0447\\u0430\\u043b\\u044c\\u043d\\u0430\\u044f \\u0444\\u043e\\u0440\\u043c\\u0430 algorismi \\u0441\\u043f\\u0443\\u0441\\u0442\\u044f \\u043a\\u0430\\u043a\\u043e\\u0435-\\u0442\\u043e \\u043d\\u0438\\u043a\\u0430\\u043a\\u043e\\u0435 \\u043f\\u043e\\u0442\\u0435\\u0440\\u044f\\u043b\\u0430 \\u043f\\u043e\\u0441\\u043b\\u0435\\u0434\\u043d\\u044e\\u044e \\u0431\\u0443\\u043a\\u0432\\u0443, \\u0438 \\u0441\\u043b\\u043e\\u0432\\u043e \\u043f\\u0440\\u0438\\u043e\\u0431\\u0440\\u0435\\u043b\\u043e \\u0431\\u043e\\u043b\\u0435\\u0435 \\u0443\\u0434\\u043e\\u0431\\u043d\\u044b\\u0439 \\u0434\\u043b\\u044f \\u0435\\u0432\\u0440\\u043e\\u043f\\u0435\\u0439\\u0441\\u043a\\u043e\\u0433\\u043e \\u043f\\u0440\\u043e\\u0438\\u0437\\u043d\\u043e\\u0448\\u0435\\u043d\\u0438\\u044f \\u0432\\u0438\\u0434 algorism.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"annotation\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"# sent_id = 2013Algoritm.xml_3\\n# text = \\u042d\\u0442\\u043e \\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043e \\u0441 \\u0442\\u0435\\u043c, \\u0447\\u0442\\u043e \\u0440\\u0430\\u0431\\u043e\\u0442\\u0430 \\u043a\\u0430\\u043a\\u0438\\u0445-\\u0442\\u043e \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439 \\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\u0430 \\u043c\\u043e\\u0436\\u0435\\u0442 \\u0431\\u044b\\u0442\\u044c \\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u0430 \\u043e\\u0442 \\u0434\\u0440\\u0443\\u0433\\u0438\\u0445 \\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439 \\u0438\\u043b\\u0438 \\u0440\\u0435\\u0437\\u0443\\u043b\\u044c\\u0442\\u0430\\u0442\\u043e\\u0432 \\u0438\\u0445 \\u0440\\u0430\\u0431\\u043e\\u0442\\u044b.\\n1\\t\\u042d\\u0442\\u043e\\t\\u044d\\u0442\\u043e\\tPRON\\t_\\tAnimacy=Inan|Case=Nom|Gender=Neut|Number=Sing|PronType=Dem\\t2\\tnsubj:pass\\t2:nsubj:pass\\t_\\n2\\t\\u0441\\u0432\\u044f\\u0437\\u0430\\u043d\\u043e\\t\\u0441\\u0432\\u044f\\u0437\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Gender=Neut|Number=Sing|Tense=Past|Variant=Short|VerbForm=Part|Voice=Pass\\t0\\troot\\t0:root\\t_\\n3\\t\\u0441\\t\\u0441\\tADP\\t_\\t_\\t4\\tcase\\t4:case\\t_\\n4\\t\\u0442\\u0435\\u043c\\t\\u0442\\u043e\\tPRON\\t_\\tAnimacy=Inan|Case=Ins|Gender=Neut|Number=Sing|PronType=Dem\\t2\\tobl\\t2:obl:\\u0441:ins\\tSpaceAfter=No\\n5\\t,\\t,\\tPUNCT\\t_\\t_\\t11\\tpunct\\t11:punct\\t_\\n6\\t\\u0447\\u0442\\u043e\\t\\u0447\\u0442\\u043e\\tSCONJ\\t_\\t_\\t11\\tmark\\t11:mark\\t_\\n7\\t\\u0440\\u0430\\u0431\\u043e\\u0442\\u0430\\t\\u0440\\u0430\\u0431\\u043e\\u0442\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t11\\tnsubj\\t11:nsubj\\t_\\n8\\t\\u043a\\u0430\\u043a\\u0438\\u0445-\\u0442\\u043e\\t\\u043a\\u0430\\u043a\\u043e\\u0439-\\u0442\\u043e\\tDET\\t_\\tCase=Gen|Number=Plur|PronType=Ind|pronoun_type=indefinite\\t9\\tdet\\t9:det\\t_\\n9\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Plur\\t7\\tnmod\\t7:nmod:gen\\t_\\n10\\t\\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\u0430\\t\\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Masc|Number=Sing\\t9\\tnmod\\t9:nmod:gen\\t_\\n11\\t\\u043c\\u043e\\u0436\\u0435\\u0442\\t\\u043c\\u043e\\u0447\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t4\\tacl\\t4:acl:\\u0447\\u0442\\u043e\\t_\\n12\\t\\u0431\\u044b\\u0442\\u044c\\t\\u0431\\u044b\\u0442\\u044c\\tAUX\\t_\\tAspect=Imp|VerbForm=Inf|Voice=Act\\t13\\tcop\\t13:cop\\t_\\n13\\t\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u0430\\t\\u0437\\u0430\\u0432\\u0438\\u0441\\u0438\\u043c\\u044b\\u0439\\tADJ\\t_\\tDegree=Pos|Gender=Fem|Number=Sing|Variant=Short\\t11\\tobl\\t11:obl\\t_\\n14\\t\\u043e\\u0442\\t\\u043e\\u0442\\tADP\\t_\\t_\\t16\\tcase\\t16:case\\t_\\n15\\t\\u0434\\u0440\\u0443\\u0433\\u0438\\u0445\\t\\u0434\\u0440\\u0443\\u0433\\u043e\\u0439\\tADJ\\t_\\tCase=Gen|Degree=Pos|Number=Plur\\t16\\tamod\\t16:amod\\t_\\n16\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u0439\\t\\u0438\\u043d\\u0441\\u0442\\u0440\\u0443\\u043a\\u0446\\u0438\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Plur\\t13\\tobl\\t13:obl:\\u043e\\u0442:gen\\t_\\n17\\t\\u0438\\u043b\\u0438\\t\\u0438\\u043b\\u0438\\tCCONJ\\t_\\t_\\t18\\tcc\\t18:cc\\t_\\n18\\t\\u0440\\u0435\\u0437\\u0443\\u043b\\u044c\\u0442\\u0430\\u0442\\u043e\\u0432\\t\\u0440\\u0435\\u0437\\u0443\\u043b\\u044c\\u0442\\u0430\\u0442\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Masc|Number=Plur\\t16\\tconj\\t13:obl:\\u043e\\u0442:gen|16:conj\\t_\\n19\\t\\u0438\\u0445\\t\\u0438\\u0445\\tDET\\t_\\tPoss=Yes|PronType=Prs\\t20\\tdet\\t20:det\\t_\\n20\\t\\u0440\\u0430\\u0431\\u043e\\u0442\\u044b\\t\\u0440\\u0430\\u0431\\u043e\\u0442\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Sing\\t18\\tnmod\\t18:nmod:gen\\tSpaceAfter=No\\n21\\t.\\t.\\tPUNCT\\t_\\t_\\t2\\tpunct\\t2:punct\\t_\\n\\n\",\n          \"# sent_id = 2013Algoritm.xml_11\\n# text = \\\"\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c - \\u044d\\u0442\\u043e \\u0432\\u0441\\u044f\\u043a\\u0430\\u044f \\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430 \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439, \\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445 \\u043f\\u043e \\u0441\\u0442\\u0440\\u043e\\u0433\\u043e \\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0451\\u043d\\u043d\\u044b\\u043c \\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c, \\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f \\u043f\\u043e\\u0441\\u043b\\u0435 \\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e \\u0447\\u0438\\u0441\\u043b\\u0430 \\u0448\\u0430\\u0433\\u043e\\u0432 \\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e \\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442 \\u043a \\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e \\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439 \\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\\". (\\u0410.\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432).\\n1\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\tSpaceAfter=No\\n2\\t\\u0410\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\t\\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0442\\u043c\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Masc|Number=Sing\\t6\\tnsubj\\t6:nsubj\\t_\\n3\\t-\\t-\\tPUNCT\\t_\\t_\\t2\\tpunct\\t2:punct\\t_\\n4\\t\\u044d\\u0442\\u043e\\t\\u044d\\u0442\\u043e\\tPRON\\t_\\tPronType=Dem\\t6\\texpl\\t6:expl\\t_\\n5\\t\\u0432\\u0441\\u044f\\u043a\\u0430\\u044f\\t\\u0432\\u0441\\u044f\\u043a\\u0438\\u0439\\tDET\\t_\\tCase=Nom|Gender=Fem|Number=Sing|PronType=Tot\\t6\\tdet\\t6:det\\t_\\n6\\t\\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430\\t\\u0441\\u0438\\u0441\\u0442\\u0435\\u043c\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t0\\troot\\t0:root\\t_\\n7\\t\\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439\\t\\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Plur\\t6\\tnmod\\t6:nmod:gen\\tSpaceAfter=No\\n8\\t,\\t,\\tPUNCT\\t_\\t_\\t9\\tpunct\\t9:punct\\t_\\n9\\t\\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0435\\u043c\\u044b\\u0445\\t\\u0432\\u044b\\u043f\\u043e\\u043b\\u043d\\u044f\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Case=Gen|Number=Plur|Tense=Pres|VerbForm=Part|Voice=Pass\\t7\\tacl\\t7:acl\\t_\\n10\\t\\u043f\\u043e\\t\\u043f\\u043e\\tADP\\t_\\t_\\t13\\tcase\\t13:case\\t_\\n11\\t\\u0441\\u0442\\u0440\\u043e\\u0433\\u043e\\t\\u0441\\u0442\\u0440\\u043e\\u0433\\u043e\\tADV\\t_\\tDegree=Pos\\t12\\tadvmod\\t12:advmod\\t_\\n12\\t\\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0451\\u043d\\u043d\\u044b\\u043c\\t\\u043e\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Case=Dat|Number=Plur|Tense=Past|VerbForm=Part|Voice=Pass\\t13\\tacl\\t13:acl\\t_\\n13\\t\\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u0430\\u043c\\t\\u043f\\u0440\\u0430\\u0432\\u0438\\u043b\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Dat|Gender=Neut|Number=Plur\\t9\\tobl\\t9:obl:\\u043f\\u043e:dat\\tSpaceAfter=No\\n14\\t,\\t,\\tPUNCT\\t_\\t_\\t9\\tpunct\\t9:punct\\t_\\n15\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u0430\\u044f\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0439\\tPRON\\t_\\tCase=Nom|PronType=Int,Rel\\t21\\tnsubj\\t21:nsubj\\t_\\n16\\t\\u043f\\u043e\\u0441\\u043b\\u0435\\t\\u043f\\u043e\\u0441\\u043b\\u0435\\tADP\\t_\\t_\\t18\\tcase\\t18:case\\t_\\n17\\t\\u043a\\u0430\\u043a\\u043e\\u0433\\u043e-\\u043b\\u0438\\u0431\\u043e\\t\\u043a\\u0430\\u043a\\u043e\\u0439-\\u043b\\u0438\\u0431\\u043e\\tDET\\t_\\tCase=Gen|Gender=Neut|Number=Sing|PronType=Ind|pronoun_type=indefinite\\t18\\tdet\\t18:det\\t_\\n18\\t\\u0447\\u0438\\u0441\\u043b\\u0430\\t\\u0447\\u0438\\u0441\\u043b\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Sing\\t21\\tobl\\t21:obl:\\u043f\\u043e\\u0441\\u043b\\u0435:gen\\t_\\n19\\t\\u0448\\u0430\\u0433\\u043e\\u0432\\t\\u0448\\u0430\\u0433\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Masc|Number=Plur\\t18\\tnmod\\t18:nmod:gen\\t_\\n20\\t\\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e\\t\\u0437\\u0430\\u0432\\u0435\\u0434\\u043e\\u043c\\u043e\\tADV\\t_\\tDegree=Pos\\t21\\tadvmod\\t21:advmod\\t_\\n21\\t\\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442\\t\\u043f\\u0440\\u0438\\u0432\\u043e\\u0434\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t6\\tacl:relcl\\t6:acl\\t_\\n22\\t\\u043a\\t\\u043a\\tADP\\t_\\t_\\t23\\tcase\\t23:case\\t_\\n23\\t\\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u044e\\t\\u0440\\u0435\\u0448\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Dat|Gender=Neut|Number=Sing\\t21\\tobl\\t21:obl:\\u043a:dat\\t_\\n24\\t\\u043f\\u043e\\u0441\\u0442\\u0430\\u0432\\u043b\\u0435\\u043d\\u043d\\u043e\\u0439\\t\\u0441\\u0442\\u0430\\u0432\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Case=Gen|Gender=Fem|Number=Sing|Tense=Past|VerbForm=Part|Voice=Pass\\t25\\tamod\\t25:amod\\t_\\n25\\t\\u0437\\u0430\\u0434\\u0430\\u0447\\u0438\\t\\u0437\\u0430\\u0434\\u0430\\u0447\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Sing\\t23\\tnmod\\t23:nmod:gen\\tSpaceAfter=No\\n26\\t\\\"\\t\\\"\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\tSpaceAfter=No\\n27\\t.\\t.\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n28\\t(\\t(\\tPUNCT\\t_\\t_\\t29\\tpunct\\t29:punct\\tSpaceAfter=No\\n29\\t\\u0410.\\t\\u0410.\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t6\\tparataxis\\t6:parataxis\\tSpaceAfter=No\\n30\\t\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432\\t\\u041a\\u043e\\u043b\\u043c\\u043e\\u0433\\u043e\\u0440\\u043e\\u0432\\tPROPN\\t_\\tAnimacy=Anim|Case=Nom|Gender=Masc|Number=Sing\\t29\\tflat:name\\t29:flat\\tSpaceAfter=No\\n31\\t)\\t)\\tPUNCT\\t_\\t_\\t29\\tpunct\\t29:punct\\tSpaceAfter=No\\n32\\t.\\t.\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n\\n\",\n          \"# sent_id = 2013Algoritm.xml_90\\n# text = \\u041c\\u043e\\u0436\\u043d\\u043e \\u043e\\u0431\\u0440\\u0430\\u0442\\u0438\\u0442\\u044c \\u0432\\u043d\\u0438\\u043c\\u0430\\u043d\\u0438\\u0435 \\u043d\\u0430 \\u0442\\u043e, \\u0447\\u0442\\u043e \\u043f\\u0435\\u0440\\u0432\\u043e\\u043d\\u0430\\u0447\\u0430\\u043b\\u044c\\u043d\\u0430\\u044f \\u0444\\u043e\\u0440\\u043c\\u0430 algorismi \\u0441\\u043f\\u0443\\u0441\\u0442\\u044f \\u043a\\u0430\\u043a\\u043e\\u0435-\\u0442\\u043e \\u0432\\u0440\\u0435\\u043c\\u044f \\u043f\\u043e\\u0442\\u0435\\u0440\\u044f\\u043b\\u0430 \\u043f\\u043e\\u0441\\u043b\\u0435\\u0434\\u043d\\u044e\\u044e \\u0431\\u0443\\u043a\\u0432\\u0443, \\u0438 \\u0441\\u043b\\u043e\\u0432\\u043e \\u043f\\u0440\\u0438\\u043e\\u0431\\u0440\\u0435\\u043b\\u043e \\u0431\\u043e\\u043b\\u0435\\u0435 \\u0443\\u0434\\u043e\\u0431\\u043d\\u044b\\u0439 \\u0434\\u043b\\u044f \\u0435\\u0432\\u0440\\u043e\\u043f\\u0435\\u0439\\u0441\\u043a\\u043e\\u0433\\u043e \\u043f\\u0440\\u043e\\u0438\\u0437\\u043d\\u043e\\u0448\\u0435\\u043d\\u0438\\u044f \\u0432\\u0438\\u0434 algorism.\\n1\\t\\u041c\\u043e\\u0436\\u043d\\u043e\\t\\u043c\\u043e\\u0436\\u043d\\u043e\\tADV\\t_\\tDegree=Pos\\t0\\troot\\t0:root\\t_\\n2\\t\\u043e\\u0431\\u0440\\u0430\\u0442\\u0438\\u0442\\u044c\\t\\u043e\\u0431\\u0440\\u0430\\u0442\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|VerbForm=Inf|Voice=Act\\t1\\tcsubj\\t1:csubj\\t_\\n3\\t\\u0432\\u043d\\u0438\\u043c\\u0430\\u043d\\u0438\\u0435\\t\\u0432\\u043d\\u0438\\u043c\\u0430\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Neut|Number=Sing\\t2\\tobj\\t2:obj\\t_\\n4\\t\\u043d\\u0430\\t\\u043d\\u0430\\tADP\\t_\\t_\\t5\\tcase\\t5:case\\t_\\n5\\t\\u0442\\u043e\\t\\u0442\\u043e\\tPRON\\t_\\tAnimacy=Inan|Case=Acc|Gender=Neut|Number=Sing|PronType=Dem\\t3\\tnmod\\t3:nmod:\\u043d\\u0430:acc\\tSpaceAfter=No\\n6\\t,\\t,\\tPUNCT\\t_\\t_\\t14\\tpunct\\t14:punct\\t_\\n7\\t\\u0447\\u0442\\u043e\\t\\u0447\\u0442\\u043e\\tSCONJ\\t_\\t_\\t14\\tmark\\t14:mark\\t_\\n8\\t\\u043f\\u0435\\u0440\\u0432\\u043e\\u043d\\u0430\\u0447\\u0430\\u043b\\u044c\\u043d\\u0430\\u044f\\t\\u043f\\u0435\\u0440\\u0432\\u043e\\u043d\\u0430\\u0447\\u0430\\u043b\\u044c\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Gender=Fem|Number=Sing\\t9\\tamod\\t9:amod\\t_\\n9\\t\\u0444\\u043e\\u0440\\u043c\\u0430\\t\\u0444\\u043e\\u0440\\u043c\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t14\\tnsubj\\t14:nsubj\\t_\\n10\\talgorismi\\talgorismi\\tX\\t_\\tForeign=Yes\\t9\\tflat:foreign\\t9:flat:foreign\\t_\\n11\\t\\u0441\\u043f\\u0443\\u0441\\u0442\\u044f\\t\\u0441\\u043f\\u0443\\u0441\\u0442\\u044f\\tADP\\t_\\t_\\t13\\tcase\\t13:case\\t_\\n12\\t\\u043a\\u0430\\u043a\\u043e\\u0435-\\u0442\\u043e\\t\\u043a\\u0430\\u043a\\u043e\\u0439-\\u0442\\u043e\\tDET\\t_\\tCase=Acc|Gender=Neut|Number=Sing|PronType=Ind|pronoun_type=indefinite\\t13\\tdet\\t13:det\\t_\\n13\\t\\u0432\\u0440\\u0435\\u043c\\u044f\\t\\u0432\\u0440\\u0435\\u043c\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Neut|Number=Sing\\t14\\tobl\\t14:obl:\\u0441\\u043f\\u0443\\u0441\\u0442\\u044f:acc\\t_\\n14\\t\\u043f\\u043e\\u0442\\u0435\\u0440\\u044f\\u043b\\u0430\\t\\u0442\\u0435\\u0440\\u044f\\u0442\\u044c\\tVERB\\t_\\tAspect=Perf|Gender=Fem|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act\\t5\\tacl\\t5:acl:\\u0447\\u0442\\u043e\\t_\\n15\\t\\u043f\\u043e\\u0441\\u043b\\u0435\\u0434\\u043d\\u044e\\u044e\\t\\u043f\\u043e\\u0441\\u043b\\u0435\\u0434\\u043d\\u0438\\u0439\\tADJ\\t_\\tCase=Acc|Degree=Pos|Gender=Fem|Number=Sing\\t16\\tamod\\t16:amod\\t_\\n16\\t\\u0431\\u0443\\u043a\\u0432\\u0443\\t\\u0431\\u0443\\u043a\\u0432\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Fem|Number=Sing\\t14\\tobj\\t14:obj\\tSpaceAfter=No\\n17\\t,\\t,\\tPUNCT\\t_\\t_\\t20\\tpunct\\t20:punct\\t_\\n18\\t\\u0438\\t\\u0438\\tCCONJ\\t_\\t_\\t20\\tcc\\t20:cc\\t_\\n19\\t\\u0441\\u043b\\u043e\\u0432\\u043e\\t\\u0441\\u043b\\u043e\\u0432\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Neut|Number=Sing\\t20\\tnsubj\\t20:nsubj\\t_\\n20\\t\\u043f\\u0440\\u0438\\u043e\\u0431\\u0440\\u0435\\u043b\\u043e\\t\\u043f\\u0440\\u0438\\u043e\\u0431\\u0440\\u0435\\u0441\\u0442\\u0438\\tVERB\\t_\\tAspect=Perf|Gender=Neut|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act\\t14\\tconj\\t5:acl:\\u0447\\u0442\\u043e|14:conj\\t_\\n21\\t\\u0431\\u043e\\u043b\\u0435\\u0435\\t\\u0431\\u043e\\u043b\\u0435\\u0435\\tADV\\t_\\tDegree=Cmp\\t22\\tobl\\t22:obl\\t_\\n22\\t\\u0443\\u0434\\u043e\\u0431\\u043d\\u044b\\u0439\\t\\u0443\\u0434\\u043e\\u0431\\u043d\\u044b\\u0439\\tADJ\\t_\\tAnimacy=Inan|Case=Acc|Degree=Pos|Gender=Masc|Number=Sing\\t26\\tamod\\t26:amod\\t_\\n23\\t\\u0434\\u043b\\u044f\\t\\u0434\\u043b\\u044f\\tADP\\t_\\t_\\t25\\tcase\\t25:case\\t_\\n24\\t\\u0435\\u0432\\u0440\\u043e\\u043f\\u0435\\u0439\\u0441\\u043a\\u043e\\u0433\\u043e\\t\\u0435\\u0432\\u0440\\u043e\\u043f\\u0435\\u0439\\u0441\\u043a\\u0438\\u0439\\tADJ\\t_\\tCase=Gen|Degree=Pos|Gender=Neut|Number=Sing\\t25\\tamod\\t25:amod\\t_\\n25\\t\\u043f\\u0440\\u043e\\u0438\\u0437\\u043d\\u043e\\u0448\\u0435\\u043d\\u0438\\u044f\\t\\u043f\\u0440\\u043e\\u0438\\u0437\\u043d\\u043e\\u0448\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Sing\\t22\\tobl\\t22:obl:\\u0434\\u043b\\u044f:gen\\t_\\n26\\t\\u0432\\u0438\\u0434\\t\\u0432\\u0438\\u0434\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Masc|Number=Sing\\t20\\tobj\\t20:obj\\t_\\n27\\talgorism\\talgorism\\tX\\t_\\tForeign=Yes\\t26\\tflat:foreign\\t26:flat:foreign\\tSpaceAfter=No\\n28\\t.\\t.\\tPUNCT\\t_\\t_\\t1\\tpunct\\t1:punct\\t_\\n\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"phenomenon\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"negation\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"phenomenon_subtype\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"negative_pronouns_to\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_word\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"\\u043a\\u0430\\u043a\\u0438\\u0445-\\u0442\\u043e\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_word\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"\\u043d\\u0438\\u043a\\u0430\\u043a\\u0438\\u0445\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_word_feats\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"{'Case': 'Gen', 'Number': 'Plur', 'PronType': 'Ind', 'pronoun_type': 'indefinite'}\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_word_feats\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"{'Case': 'Gen', 'Number': 'Plur', 'PronType': 'Ind', 'pronoun_type': 'negative'}\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"feature\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"pronoun_type\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"length\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 21,\n        \"max\": 32,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          21\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ipm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04005037785371795,\n        \"min\": 0.92,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tree_depth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 9,\n        \"max\": 12,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "negation"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-1f2ee361-3b1e-4c26-9c81-d8084cf639b3\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence_id</th>\n",
       "      <th>source_sentence</th>\n",
       "      <th>target_sentence</th>\n",
       "      <th>annotation</th>\n",
       "      <th>phenomenon</th>\n",
       "      <th>phenomenon_subtype</th>\n",
       "      <th>source_word</th>\n",
       "      <th>target_word</th>\n",
       "      <th>source_word_feats</th>\n",
       "      <th>target_word_feats</th>\n",
       "      <th>feature</th>\n",
       "      <th>length</th>\n",
       "      <th>ipm</th>\n",
       "      <th>tree_depth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013Algoritm.xml_3</td>\n",
       "      <td>Это связано с тем, что работа каких-то инструк...</td>\n",
       "      <td>Это связано с тем, что работа каких-то никаких...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_3\\n# text = Это с...</td>\n",
       "      <td>negation</td>\n",
       "      <td>negative_pronouns_to</td>\n",
       "      <td>каких-то</td>\n",
       "      <td>никаких</td>\n",
       "      <td>{'Case': 'Gen', 'Number': 'Plur', 'PronType': ...</td>\n",
       "      <td>{'Case': 'Gen', 'Number': 'Plur', 'PronType': ...</td>\n",
       "      <td>pronoun_type</td>\n",
       "      <td>21</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013Algoritm.xml_11</td>\n",
       "      <td>\"Алгоритм - это всякая система вычислений, вып...</td>\n",
       "      <td>\"Алгоритм - это всякая система вычислений, вып...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_11\\n# text = \"Алг...</td>\n",
       "      <td>negation</td>\n",
       "      <td>negative_pronouns_to</td>\n",
       "      <td>какого-либо</td>\n",
       "      <td>никакого</td>\n",
       "      <td>{'Case': 'Gen', 'Gender': 'Neut', 'Number': 'S...</td>\n",
       "      <td>{'Case': 'Gen', 'Gender': 'Neut', 'Number': 'S...</td>\n",
       "      <td>pronoun_type</td>\n",
       "      <td>32</td>\n",
       "      <td>0.956522</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013Algoritm.xml_90</td>\n",
       "      <td>Можно обратить внимание на то, что первоначаль...</td>\n",
       "      <td>Можно обратить внимание на то, что первоначаль...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_90\\n# text = Можн...</td>\n",
       "      <td>negation</td>\n",
       "      <td>negative_pronouns_to</td>\n",
       "      <td>какое-то</td>\n",
       "      <td>никакое</td>\n",
       "      <td>{'Case': 'Acc', 'Gender': 'Neut', 'Number': 'S...</td>\n",
       "      <td>{'Case': 'Acc', 'Gender': 'Neut', 'Number': 'S...</td>\n",
       "      <td>pronoun_type</td>\n",
       "      <td>28</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1f2ee361-3b1e-4c26-9c81-d8084cf639b3')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-1f2ee361-3b1e-4c26-9c81-d8084cf639b3 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-1f2ee361-3b1e-4c26-9c81-d8084cf639b3');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "<div id=\"df-fe2f379a-5f56-495f-87c0-a2cd3eeb99a3\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fe2f379a-5f56-495f-87c0-a2cd3eeb99a3')\"\n",
       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "     width=\"24px\">\n",
       "    <g>\n",
       "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-fe2f379a-5f56-495f-87c0-a2cd3eeb99a3 button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "  <div id=\"id_bc2876e8-aa47-41e3-8ae2-b60479301179\">\n",
       "    <style>\n",
       "      .colab-df-generate {\n",
       "        background-color: #E8F0FE;\n",
       "        border: none;\n",
       "        border-radius: 50%;\n",
       "        cursor: pointer;\n",
       "        display: none;\n",
       "        fill: #1967D2;\n",
       "        height: 32px;\n",
       "        padding: 0 0 0 0;\n",
       "        width: 32px;\n",
       "      }\n",
       "\n",
       "      .colab-df-generate:hover {\n",
       "        background-color: #E2EBFA;\n",
       "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "        fill: #174EA6;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate {\n",
       "        background-color: #3B4455;\n",
       "        fill: #D2E3FC;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate:hover {\n",
       "        background-color: #434B5C;\n",
       "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "        fill: #FFFFFF;\n",
       "      }\n",
       "    </style>\n",
       "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('negation')\"\n",
       "            title=\"Generate code using this dataframe.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
       "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "    <script>\n",
       "      (() => {\n",
       "      const buttonEl =\n",
       "        document.querySelector('#id_bc2876e8-aa47-41e3-8ae2-b60479301179 button.colab-df-generate');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      buttonEl.onclick = () => {\n",
       "        google.colab.notebook.generateWithVariable('negation');\n",
       "      }\n",
       "      })();\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "           sentence_id                                    source_sentence  \\\n",
       "0   2013Algoritm.xml_3  Это связано с тем, что работа каких-то инструк...   \n",
       "1  2013Algoritm.xml_11  \"Алгоритм - это всякая система вычислений, вып...   \n",
       "2  2013Algoritm.xml_90  Можно обратить внимание на то, что первоначаль...   \n",
       "\n",
       "                                     target_sentence  \\\n",
       "0  Это связано с тем, что работа каких-то никаких...   \n",
       "1  \"Алгоритм - это всякая система вычислений, вып...   \n",
       "2  Можно обратить внимание на то, что первоначаль...   \n",
       "\n",
       "                                          annotation phenomenon  \\\n",
       "0  # sent_id = 2013Algoritm.xml_3\\n# text = Это с...   negation   \n",
       "1  # sent_id = 2013Algoritm.xml_11\\n# text = \"Алг...   negation   \n",
       "2  # sent_id = 2013Algoritm.xml_90\\n# text = Можн...   negation   \n",
       "\n",
       "     phenomenon_subtype  source_word target_word  \\\n",
       "0  negative_pronouns_to     каких-то     никаких   \n",
       "1  negative_pronouns_to  какого-либо    никакого   \n",
       "2  negative_pronouns_to     какое-то     никакое   \n",
       "\n",
       "                                   source_word_feats  \\\n",
       "0  {'Case': 'Gen', 'Number': 'Plur', 'PronType': ...   \n",
       "1  {'Case': 'Gen', 'Gender': 'Neut', 'Number': 'S...   \n",
       "2  {'Case': 'Acc', 'Gender': 'Neut', 'Number': 'S...   \n",
       "\n",
       "                                   target_word_feats       feature  length  \\\n",
       "0  {'Case': 'Gen', 'Number': 'Plur', 'PronType': ...  pronoun_type      21   \n",
       "1  {'Case': 'Gen', 'Gender': 'Neut', 'Number': 'S...  pronoun_type      32   \n",
       "2  {'Case': 'Acc', 'Gender': 'Neut', 'Number': 'S...  pronoun_type      28   \n",
       "\n",
       "        ipm  tree_depth  \n",
       "0  1.000000           9  \n",
       "1  0.956522          11  \n",
       "2  0.920000          12  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negation = pd.read_csv(\n",
    "    \"generated_data/negation/ru_syntagrus-ud-dev.conllu.tsv\", sep=\"\\t\"\n",
    ")\n",
    "negation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 283
    },
    "id": "2MKO-qyELWdl",
    "outputId": "feb13e72-74dd-4951-91c2-f25a326f2636"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"government\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"sentence_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2013Algoritm.xml_54\",\n          \"2013Algoritm.xml_43\",\n          \"2013Algoritm.xml_80\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_sentence\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u0418 \\u0432\\u0441\\u0435 \\u043e\\u043d\\u0438 \\u0432 \\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u0438 \\u0438\\u043c\\u0435\\u043b\\u0438 \\u0441\\u043b\\u043e\\u0432\\u043e algoritmi \\u0438\\u043b\\u0438 algorismi.\",\n          \"\\u0418\\u0437 \\u043e\\u0440\\u0438\\u0433\\u0438\\u043d\\u0430\\u043b\\u044c\\u043d\\u043e\\u0433\\u043e \\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u044f \\u043a\\u043d\\u0438\\u0433\\u0438 \\u043f\\u0440\\u043e\\u0438\\u0441\\u0445\\u043e\\u0434\\u0438\\u0442 \\u0441\\u043b\\u043e\\u0432\\u043e \\u0410\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430 (\\u0430\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430 - \\u0430\\u043b\\u044c-\\u0434\\u0436\\u0435\\u0431\\u0440 - \\u0441\\u043b\\u043e\\u0436\\u0435\\u043d\\u0438\\u0435).\",\n          \"\\u041d\\u043e\\u0432\\u043e\\u0435 \\u0441 \\u043e\\u0433\\u0440\\u043e\\u043c\\u043d\\u044b\\u043c \\u0442\\u0440\\u0443\\u0434\\u043e\\u043c \\u043f\\u0440\\u043e\\u0431\\u0438\\u0432\\u0430\\u043b\\u043e \\u0441\\u0435\\u0431\\u0435 \\u0434\\u043e\\u0440\\u043e\\u0433\\u0443, \\u0438 \\u0432 \\u0438\\u0441\\u0442\\u043e\\u0440\\u0438\\u044e \\u043c\\u0430\\u0442\\u0435\\u043c\\u0430\\u0442\\u0438\\u043a\\u0438 \\u0432\\u043e\\u0448\\u043b\\u043e \\u0443\\u043f\\u043e\\u0440\\u043d\\u043e\\u0435 \\u043f\\u0440\\u043e\\u0442\\u0438\\u0432\\u043e\\u0441\\u0442\\u043e\\u044f\\u043d\\u0438\\u0435 \\u043b\\u0430\\u0433\\u0435\\u0440\\u0435\\u0439 \\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0441\\u043c\\u0438\\u043a\\u043e\\u0432 \\u0438 \\u0430\\u0431\\u0430\\u0446\\u0438\\u0441\\u0442\\u043e\\u0432 (\\u0438\\u043d\\u043e\\u0433\\u0434\\u0430 \\u043d\\u0430\\u0437\\u044b\\u0432\\u0430\\u0435\\u043c\\u044b\\u0445 \\u0433\\u0435\\u0440\\u0431\\u0435\\u043a\\u0438\\u0441\\u0442\\u0430\\u043c\\u0438), \\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0435 \\u043f\\u0440\\u043e\\u043f\\u0430\\u0433\\u0430\\u043d\\u0434\\u0438\\u0440\\u043e\\u0432\\u0430\\u043b\\u0438 \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u0435 \\u0434\\u043b\\u044f \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439 \\u0430\\u0431\\u0430\\u043a\\u0430 \\u0432\\u043c\\u0435\\u0441\\u0442\\u043e \\u0430\\u0440\\u0430\\u0431\\u0441\\u043a\\u0438\\u0445 \\u0446\\u0438\\u0444\\u0440.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_sentence\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u0418 \\u0432\\u0441\\u0435 \\u043e\\u043d\\u0438 \\u0432 \\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u0438 \\u0438\\u043c\\u0435\\u043b\\u0438 \\u0441\\u043b\\u043e\\u0432\\u0443 algoritmi \\u0438\\u043b\\u0438 algorismi.\",\n          \"\\u0418\\u0437 \\u043e\\u0440\\u0438\\u0433\\u0438\\u043d\\u0430\\u043b\\u044c\\u043d\\u043e\\u0433\\u043e \\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u044f \\u043a\\u043d\\u0438\\u0433\\u0430 \\u043f\\u0440\\u043e\\u0438\\u0441\\u0445\\u043e\\u0434\\u0438\\u0442 \\u0441\\u043b\\u043e\\u0432\\u043e \\u0410\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430 (\\u0430\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430 - \\u0430\\u043b\\u044c-\\u0434\\u0436\\u0435\\u0431\\u0440 - \\u0441\\u043b\\u043e\\u0436\\u0435\\u043d\\u0438\\u0435).\",\n          \"\\u041d\\u043e\\u0432\\u043e\\u0435 \\u0441 \\u043e\\u0433\\u0440\\u043e\\u043c\\u043d\\u044b\\u043c \\u0442\\u0440\\u0443\\u0434\\u043e\\u043c \\u043f\\u0440\\u043e\\u0431\\u0438\\u0432\\u0430\\u043b\\u043e \\u0441\\u0435\\u0431\\u0435 \\u0434\\u043e\\u0440\\u043e\\u0433\\u0435 \\u0438 \\u0432 \\u0438\\u0441\\u0442\\u043e\\u0440\\u0438\\u044e \\u043c\\u0430\\u0442\\u0435\\u043c\\u0430\\u0442\\u0438\\u043a\\u0438 \\u0432\\u043e\\u0448\\u043b\\u043e \\u0443\\u043f\\u043e\\u0440\\u043d\\u043e\\u0435 \\u043f\\u0440\\u043e\\u0442\\u0438\\u0432\\u043e\\u0441\\u0442\\u043e\\u044f\\u043d\\u0438\\u0435 \\u043b\\u0430\\u0433\\u0435\\u0440\\u0435\\u0439 \\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0441\\u043c\\u0438\\u043a\\u043e\\u0432 \\u0438 \\u0430\\u0431\\u0430\\u0446\\u0438\\u0441\\u0442\\u043e\\u0432 (\\u0438\\u043d\\u043e\\u0433\\u0434\\u0430 \\u043d\\u0430\\u0437\\u044b\\u0432\\u0430\\u0435\\u043c\\u044b\\u0445 \\u0433\\u0435\\u0440\\u0431\\u0435\\u043a\\u0438\\u0441\\u0442\\u0430\\u043c\\u0438), \\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0435 \\u043f\\u0440\\u043e\\u043f\\u0430\\u0433\\u0430\\u043d\\u0434\\u0438\\u0440\\u043e\\u0432\\u0430\\u043b\\u0438 \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u0435 \\u0434\\u043b\\u044f \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439 \\u0430\\u0431\\u0430\\u043a\\u0430 \\u0432\\u043c\\u0435\\u0441\\u0442\\u043e \\u0430\\u0440\\u0430\\u0431\\u0441\\u043a\\u0438\\u0445 \\u0446\\u0438\\u0444\\u0440.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"annotation\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"# sent_id = 2013Algoritm.xml_54\\n# text = \\u0418 \\u0432\\u0441\\u0435 \\u043e\\u043d\\u0438 \\u0432 \\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u0438 \\u0438\\u043c\\u0435\\u043b\\u0438 \\u0441\\u043b\\u043e\\u0432\\u043e algoritmi \\u0438\\u043b\\u0438 algorismi.\\n1\\t\\u0418\\t\\u0438\\tCCONJ\\t_\\t_\\t6\\tcc\\t6:cc\\t_\\n2\\t\\u0432\\u0441\\u0435\\t\\u0432\\u0435\\u0441\\u044c\\tDET\\t_\\tCase=Nom|Number=Plur|PronType=Tot\\t3\\tdet\\t3:det\\t_\\n3\\t\\u043e\\u043d\\u0438\\t\\u043e\\u043d\\u0438\\tPRON\\t_\\tCase=Nom|Number=Plur|Person=3|PronType=Prs\\t6\\tnsubj\\t6:nsubj\\t_\\n4\\t\\u0432\\t\\u0432\\tADP\\t_\\t_\\t5\\tcase\\t5:case\\t_\\n5\\t\\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u0438\\t\\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Loc|Gender=Neut|Number=Sing\\t6\\tobl\\t6:obl:\\u0432:loc\\t_\\n6\\t\\u0438\\u043c\\u0435\\u043b\\u0438\\t\\u0438\\u043c\\u0435\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Plur|Tense=Past|VerbForm=Fin|Voice=Act\\t0\\troot\\t0:root\\t_\\n7\\t\\u0441\\u043b\\u043e\\u0432\\u043e\\t\\u0441\\u043b\\u043e\\u0432\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Neut|Number=Sing|upos=NOUN\\t6\\tobj\\t6:obj\\t_\\n8\\talgoritmi\\talgoritmi\\tX\\t_\\tForeign=Yes\\t7\\tflat:foreign\\t7:flat:foreign\\t_\\n9\\t\\u0438\\u043b\\u0438\\t\\u0438\\u043b\\u0438\\tCCONJ\\t_\\t_\\t7\\tcc\\t7:cc\\t_\\n10\\talgorismi\\talgorismi\\tX\\t_\\tForeign=Yes\\t7\\tflat:foreign\\t7:flat:foreign\\tSpaceAfter=No\\n11\\t.\\t.\\tPUNCT\\t_\\t_\\t6\\tpunct\\t6:punct\\t_\\n\\n\",\n          \"# sent_id = 2013Algoritm.xml_43\\n# text = \\u0418\\u0437 \\u043e\\u0440\\u0438\\u0433\\u0438\\u043d\\u0430\\u043b\\u044c\\u043d\\u043e\\u0433\\u043e \\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u044f \\u043a\\u043d\\u0438\\u0433\\u0438 \\u043f\\u0440\\u043e\\u0438\\u0441\\u0445\\u043e\\u0434\\u0438\\u0442 \\u0441\\u043b\\u043e\\u0432\\u043e \\u0410\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430 (\\u0430\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430 - \\u0430\\u043b\\u044c-\\u0434\\u0436\\u0435\\u0431\\u0440 - \\u0441\\u043b\\u043e\\u0436\\u0435\\u043d\\u0438\\u0435).\\n1\\t\\u0418\\u0437\\t\\u0438\\u0437\\tADP\\t_\\t_\\t3\\tcase\\t3:case\\t_\\n2\\t\\u043e\\u0440\\u0438\\u0433\\u0438\\u043d\\u0430\\u043b\\u044c\\u043d\\u043e\\u0433\\u043e\\t\\u043e\\u0440\\u0438\\u0433\\u0438\\u043d\\u0430\\u043b\\u044c\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Gen|Degree=Pos|Gender=Neut|Number=Sing\\t3\\tamod\\t3:amod\\t_\\n3\\t\\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u044f\\t\\u043d\\u0430\\u0437\\u0432\\u0430\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Sing\\t5\\tobl\\t5:obl:\\u0438\\u0437:gen\\t_\\n4\\t\\u043a\\u043d\\u0438\\u0433\\u0438\\t\\u043a\\u043d\\u0438\\u0433\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Sing|upos=NOUN\\t3\\tnmod\\t3:nmod:gen\\t_\\n5\\t\\u043f\\u0440\\u043e\\u0438\\u0441\\u0445\\u043e\\u0434\\u0438\\u0442\\t\\u043f\\u0440\\u043e\\u0438\\u0441\\u0445\\u043e\\u0434\\u0438\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act\\t0\\troot\\t0:root\\t_\\n6\\t\\u0441\\u043b\\u043e\\u0432\\u043e\\t\\u0441\\u043b\\u043e\\u0432\\u043e\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Neut|Number=Sing\\t5\\tnsubj\\t5:nsubj\\t_\\n7\\t\\u0410\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430\\t\\u0410\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430\\tPROPN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t6\\tnmod\\t6:nmod:nom\\t_\\n8\\t(\\t(\\tPUNCT\\t_\\t_\\t9\\tpunct\\t9:punct\\tSpaceAfter=No\\n9\\t\\u0430\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430\\t\\u0430\\u043b\\u0433\\u0435\\u0431\\u0440\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Fem|Number=Sing\\t7\\tappos\\t7:appos\\t_\\n10\\t-\\t-\\tPUNCT\\t_\\t_\\t11\\tpunct\\t11:punct\\t_\\n11\\t\\u0430\\u043b\\u044c\\t\\u0430\\u043b\\u044c\\tX\\t_\\tForeign=Yes\\t9\\tparataxis\\t9:parataxis\\tSpaceAfter=No\\n12\\t-\\t-\\tPUNCT\\t_\\t_\\t13\\tpunct\\t13:punct\\tSpaceAfter=No\\n13\\t\\u0434\\u0436\\u0435\\u0431\\u0440\\t\\u0434\\u0436\\u0435\\u0431\\u0440\\tX\\t_\\tForeign=Yes\\t11\\tappos\\t11:appos\\t_\\n14\\t-\\t-\\tPUNCT\\t_\\t_\\t15\\tpunct\\t15:punct\\t_\\n15\\t\\u0441\\u043b\\u043e\\u0436\\u0435\\u043d\\u0438\\u0435\\t\\u0441\\u043b\\u043e\\u0436\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Neut|Number=Sing\\t11\\tparataxis\\t11:parataxis\\tSpaceAfter=No\\n16\\t)\\t)\\tPUNCT\\t_\\t_\\t9\\tpunct\\t9:punct\\tSpaceAfter=No\\n17\\t.\\t.\\tPUNCT\\t_\\t_\\t5\\tpunct\\t5:punct\\t_\\n\\n\",\n          \"# sent_id = 2013Algoritm.xml_80\\n# text = \\u041d\\u043e\\u0432\\u043e\\u0435 \\u0441 \\u043e\\u0433\\u0440\\u043e\\u043c\\u043d\\u044b\\u043c \\u0442\\u0440\\u0443\\u0434\\u043e\\u043c \\u043f\\u0440\\u043e\\u0431\\u0438\\u0432\\u0430\\u043b\\u043e \\u0441\\u0435\\u0431\\u0435 \\u0434\\u043e\\u0440\\u043e\\u0433\\u0443, \\u0438 \\u0432 \\u0438\\u0441\\u0442\\u043e\\u0440\\u0438\\u044e \\u043c\\u0430\\u0442\\u0435\\u043c\\u0430\\u0442\\u0438\\u043a\\u0438 \\u0432\\u043e\\u0448\\u043b\\u043e \\u0443\\u043f\\u043e\\u0440\\u043d\\u043e\\u0435 \\u043f\\u0440\\u043e\\u0442\\u0438\\u0432\\u043e\\u0441\\u0442\\u043e\\u044f\\u043d\\u0438\\u0435 \\u043b\\u0430\\u0433\\u0435\\u0440\\u0435\\u0439 \\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0441\\u043c\\u0438\\u043a\\u043e\\u0432 \\u0438 \\u0430\\u0431\\u0430\\u0446\\u0438\\u0441\\u0442\\u043e\\u0432 (\\u0438\\u043d\\u043e\\u0433\\u0434\\u0430 \\u043d\\u0430\\u0437\\u044b\\u0432\\u0430\\u0435\\u043c\\u044b\\u0445 \\u0433\\u0435\\u0440\\u0431\\u0435\\u043a\\u0438\\u0441\\u0442\\u0430\\u043c\\u0438), \\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0435 \\u043f\\u0440\\u043e\\u043f\\u0430\\u0433\\u0430\\u043d\\u0434\\u0438\\u0440\\u043e\\u0432\\u0430\\u043b\\u0438 \\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u0435 \\u0434\\u043b\\u044f \\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439 \\u0430\\u0431\\u0430\\u043a\\u0430 \\u0432\\u043c\\u0435\\u0441\\u0442\\u043e \\u0430\\u0440\\u0430\\u0431\\u0441\\u043a\\u0438\\u0445 \\u0446\\u0438\\u0444\\u0440.\\n1\\t\\u041d\\u043e\\u0432\\u043e\\u0435\\t\\u043d\\u043e\\u0432\\u044b\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Gender=Neut|Number=Sing\\t5\\tnsubj\\t5:nsubj\\t_\\n2\\t\\u0441\\t\\u0441\\tADP\\t_\\t_\\t4\\tcase\\t4:case\\t_\\n3\\t\\u043e\\u0433\\u0440\\u043e\\u043c\\u043d\\u044b\\u043c\\t\\u043e\\u0433\\u0440\\u043e\\u043c\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Ins|Degree=Pos|Gender=Masc|Number=Sing\\t4\\tamod\\t4:amod\\t_\\n4\\t\\u0442\\u0440\\u0443\\u0434\\u043e\\u043c\\t\\u0442\\u0440\\u0443\\u0434\\tNOUN\\t_\\tAnimacy=Inan|Case=Ins|Gender=Masc|Number=Sing\\t5\\tobl\\t5:obl:\\u0441:ins\\t_\\n5\\t\\u043f\\u0440\\u043e\\u0431\\u0438\\u0432\\u0430\\u043b\\u043e\\t\\u043f\\u0440\\u043e\\u0431\\u0438\\u0432\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Gender=Neut|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act\\t0\\troot\\t0:root\\t_\\n6\\t\\u0441\\u0435\\u0431\\u0435\\t\\u0441\\u0435\\u0431\\u044f\\tPRON\\t_\\tCase=Dat|PronType=Prs|Reflex=Yes\\t5\\tiobj\\t5:iobj\\t_\\n7\\t\\u0434\\u043e\\u0440\\u043e\\u0433\\u0443\\t\\u0434\\u043e\\u0440\\u043e\\u0433\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Fem|Number=Sing|upos=NOUN\\t5\\tobj\\t5:obj\\tSpaceAfter=No\\n8\\t,\\t,\\tPUNCT\\t_\\t_\\t13\\tpunct\\t13:punct\\t_\\n9\\t\\u0438\\t\\u0438\\tCCONJ\\t_\\t_\\t13\\tcc\\t13:cc\\t_\\n10\\t\\u0432\\t\\u0432\\tADP\\t_\\t_\\t11\\tcase\\t11:case\\t_\\n11\\t\\u0438\\u0441\\u0442\\u043e\\u0440\\u0438\\u044e\\t\\u0438\\u0441\\u0442\\u043e\\u0440\\u0438\\u044f\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Fem|Number=Sing\\t13\\tobl\\t13:obl:\\u0432:acc\\t_\\n12\\t\\u043c\\u0430\\u0442\\u0435\\u043c\\u0430\\u0442\\u0438\\u043a\\u0438\\t\\u043c\\u0430\\u0442\\u0435\\u043c\\u0430\\u0442\\u0438\\u043a\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Sing\\t11\\tnmod\\t11:nmod:gen\\t_\\n13\\t\\u0432\\u043e\\u0448\\u043b\\u043e\\t\\u0432\\u043e\\u0439\\u0442\\u0438\\tVERB\\t_\\tAspect=Perf|Gender=Neut|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act\\t5\\tconj\\t0:root|5:conj\\t_\\n14\\t\\u0443\\u043f\\u043e\\u0440\\u043d\\u043e\\u0435\\t\\u0443\\u043f\\u043e\\u0440\\u043d\\u044b\\u0439\\tADJ\\t_\\tCase=Nom|Degree=Pos|Gender=Neut|Number=Sing\\t15\\tamod\\t15:amod\\t_\\n15\\t\\u043f\\u0440\\u043e\\u0442\\u0438\\u0432\\u043e\\u0441\\u0442\\u043e\\u044f\\u043d\\u0438\\u0435\\t\\u043f\\u0440\\u043e\\u0442\\u0438\\u0432\\u043e\\u0441\\u0442\\u043e\\u044f\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Nom|Gender=Neut|Number=Sing\\t13\\tnsubj\\t13:nsubj\\t_\\n16\\t\\u043b\\u0430\\u0433\\u0435\\u0440\\u0435\\u0439\\t\\u043b\\u0430\\u0433\\u0435\\u0440\\u044c\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Masc|Number=Plur\\t15\\tnmod\\t15:nmod:gen\\t_\\n17\\t\\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0441\\u043c\\u0438\\u043a\\u043e\\u0432\\t\\u0430\\u043b\\u0433\\u043e\\u0440\\u0438\\u0441\\u043c\\u0438\\u043a\\tNOUN\\t_\\tAnimacy=Anim|Case=Gen|Gender=Masc|Number=Plur\\t16\\tnmod\\t16:nmod:gen\\t_\\n18\\t\\u0438\\t\\u0438\\tCCONJ\\t_\\t_\\t19\\tcc\\t19:cc\\t_\\n19\\t\\u0430\\u0431\\u0430\\u0446\\u0438\\u0441\\u0442\\u043e\\u0432\\t\\u0430\\u0431\\u0430\\u0446\\u0438\\u0441\\u0442\\tNOUN\\t_\\tAnimacy=Anim|Case=Gen|Gender=Masc|Number=Plur\\t17\\tconj\\t16:nmod:gen|17:conj|27:nsubj\\t_\\n20\\t(\\t(\\tPUNCT\\t_\\t_\\t22\\tpunct\\t22:punct\\tSpaceAfter=No\\n21\\t\\u0438\\u043d\\u043e\\u0433\\u0434\\u0430\\t\\u0438\\u043d\\u043e\\u0433\\u0434\\u0430\\tADV\\t_\\tDegree=Pos\\t22\\tadvmod\\t22:advmod\\t_\\n22\\t\\u043d\\u0430\\u0437\\u044b\\u0432\\u0430\\u0435\\u043c\\u044b\\u0445\\t\\u043d\\u0430\\u0437\\u044b\\u0432\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Case=Gen|Number=Plur|Tense=Pres|VerbForm=Part|Voice=Pass\\t19\\tparataxis\\t19:parataxis\\t_\\n23\\t\\u0433\\u0435\\u0440\\u0431\\u0435\\u043a\\u0438\\u0441\\u0442\\u0430\\u043c\\u0438\\t\\u0433\\u0435\\u0440\\u0431\\u0435\\u043a\\u0438\\u0441\\u0442\\tNOUN\\t_\\tAnimacy=Anim|Case=Ins|Gender=Masc|Number=Plur\\t22\\tobl\\t22:obl:ins\\tSpaceAfter=No\\n24\\t)\\t)\\tPUNCT\\t_\\t_\\t22\\tpunct\\t22:punct\\tSpaceAfter=No\\n25\\t,\\t,\\tPUNCT\\t_\\t_\\t22\\tpunct\\t22:punct\\t_\\n26\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0435\\t\\u043a\\u043e\\u0442\\u043e\\u0440\\u044b\\u0439\\tPRON\\t_\\tCase=Nom|PronType=Int,Rel\\t27\\tnsubj\\t19:ref\\t_\\n27\\t\\u043f\\u0440\\u043e\\u043f\\u0430\\u0433\\u0430\\u043d\\u0434\\u0438\\u0440\\u043e\\u0432\\u0430\\u043b\\u0438\\t\\u043f\\u0440\\u043e\\u043f\\u0430\\u0433\\u0430\\u043d\\u0434\\u0438\\u0440\\u043e\\u0432\\u0430\\u0442\\u044c\\tVERB\\t_\\tAspect=Imp|Mood=Ind|Number=Plur|Tense=Past|VerbForm=Fin|Voice=Act\\t19\\tacl:relcl\\t19:acl:relcl\\t_\\n28\\t\\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u0435\\t\\u0438\\u0441\\u043f\\u043e\\u043b\\u044c\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Acc|Gender=Neut|Number=Sing\\t27\\tobj\\t27:obj\\t_\\n29\\t\\u0434\\u043b\\u044f\\t\\u0434\\u043b\\u044f\\tADP\\t_\\t_\\t30\\tcase\\t30:case\\t_\\n30\\t\\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0439\\t\\u0432\\u044b\\u0447\\u0438\\u0441\\u043b\\u0435\\u043d\\u0438\\u0435\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Neut|Number=Plur\\t28\\tnmod\\t28:nmod:\\u0434\\u043b\\u044f:gen\\t_\\n31\\t\\u0430\\u0431\\u0430\\u043a\\u0430\\t\\u0430\\u0431\\u0430\\u043a\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Masc|Number=Sing\\t28\\tnmod\\t28:nmod:gen\\t_\\n32\\t\\u0432\\u043c\\u0435\\u0441\\u0442\\u043e\\t\\u0432\\u043c\\u0435\\u0441\\u0442\\u043e\\tADP\\t_\\t_\\t34\\tcase\\t34:case\\t_\\n33\\t\\u0430\\u0440\\u0430\\u0431\\u0441\\u043a\\u0438\\u0445\\t\\u0430\\u0440\\u0430\\u0431\\u0441\\u043a\\u0438\\u0439\\tADJ\\t_\\tCase=Gen|Degree=Pos|Number=Plur\\t34\\tamod\\t34:amod\\t_\\n34\\t\\u0446\\u0438\\u0444\\u0440\\t\\u0446\\u0438\\u0444\\u0440\\u0430\\tNOUN\\t_\\tAnimacy=Inan|Case=Gen|Gender=Fem|Number=Plur\\t31\\tnmod\\t31:nmod:\\u0432\\u043c\\u0435\\u0441\\u0442\\u043e:gen\\tSpaceAfter=No\\n35\\t.\\t.\\tPUNCT\\t_\\t_\\t5\\tpunct\\t5:punct\\t_\\n\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"phenomenon\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"government\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"phenomenon_subtype\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"verb_acc_object\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_word\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"\\u0441\\u043b\\u043e\\u0432\\u043e\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_word\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"\\u0441\\u043b\\u043e\\u0432\\u0443\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_word_feats\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"{'Animacy': 'Inan', 'Case': 'Acc', 'Gender': 'Neut', 'Number': 'Sing', 'upos': 'NOUN', 'government_form': '\\u0438\\u043c\\u0435\\u043b\\u0438'}\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target_word_feats\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"{'Animacy': 'Inan', 'Case': 'Dat', 'Gender': 'Neut', 'Number': 'Sing', 'upos': 'NOUN', 'government_form': '\\u0438\\u043c\\u0435\\u043b\\u0438'}\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"feature\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Case\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"length\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10,\n        \"min\": 9,\n        \"max\": 35,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ipm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.10801566584506271,\n        \"min\": 0.7272727272727273,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tree_depth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 3,\n        \"max\": 14,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-ac242fd9-2968-4ac4-b816-d52a81773750\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence_id</th>\n",
       "      <th>source_sentence</th>\n",
       "      <th>target_sentence</th>\n",
       "      <th>annotation</th>\n",
       "      <th>phenomenon</th>\n",
       "      <th>phenomenon_subtype</th>\n",
       "      <th>source_word</th>\n",
       "      <th>target_word</th>\n",
       "      <th>source_word_feats</th>\n",
       "      <th>target_word_feats</th>\n",
       "      <th>feature</th>\n",
       "      <th>length</th>\n",
       "      <th>ipm</th>\n",
       "      <th>tree_depth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2013Algoritm.xml_97</td>\n",
       "      <td>Мы видим, что понимание Эйлером алгоритма как ...</td>\n",
       "      <td>Мы видим, что понимание Эйлером алгоритма как ...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_97\\n# text = Мы в...</td>\n",
       "      <td>government</td>\n",
       "      <td>nominalization_case</td>\n",
       "      <td>задачи</td>\n",
       "      <td>задачу</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Gen', 'Gender': '...</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Acc', 'Gender': '...</td>\n",
       "      <td>Case</td>\n",
       "      <td>18</td>\n",
       "      <td>0.937500</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2013Algoritm.xml_54</td>\n",
       "      <td>И все они в названии имели слово algoritmi или...</td>\n",
       "      <td>И все они в названии имели слову algoritmi или...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_54\\n# text = И вс...</td>\n",
       "      <td>government</td>\n",
       "      <td>verb_acc_object</td>\n",
       "      <td>слово</td>\n",
       "      <td>слову</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Acc', 'Gender': '...</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Dat', 'Gender': '...</td>\n",
       "      <td>Case</td>\n",
       "      <td>11</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2013Algoritm.xml_80</td>\n",
       "      <td>Новое с огромным трудом пробивало себе дорогу,...</td>\n",
       "      <td>Новое с огромным трудом пробивало себе дороге ...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_80\\n# text = Ново...</td>\n",
       "      <td>government</td>\n",
       "      <td>verb_acc_object</td>\n",
       "      <td>дорогу</td>\n",
       "      <td>дороге</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Acc', 'Gender': '...</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Dat', 'Gender': '...</td>\n",
       "      <td>Case</td>\n",
       "      <td>35</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2013Algoritm.xml_56</td>\n",
       "      <td>Очень распространенной была версия о греческом...</td>\n",
       "      <td>Очень распространенной была версия о греческом...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_56\\n# text = Очен...</td>\n",
       "      <td>government</td>\n",
       "      <td>nominalization_case</td>\n",
       "      <td>книги</td>\n",
       "      <td>книга</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Gen', 'Gender': '...</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Nom', 'Gender': '...</td>\n",
       "      <td>Case</td>\n",
       "      <td>9</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2013Algoritm.xml_43</td>\n",
       "      <td>Из оригинального названия книги происходит сло...</td>\n",
       "      <td>Из оригинального названия книга происходит сло...</td>\n",
       "      <td># sent_id = 2013Algoritm.xml_43\\n# text = Из о...</td>\n",
       "      <td>government</td>\n",
       "      <td>nominalization_case</td>\n",
       "      <td>книги</td>\n",
       "      <td>книга</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Gen', 'Gender': '...</td>\n",
       "      <td>{'Animacy': 'Inan', 'Case': 'Nom', 'Gender': '...</td>\n",
       "      <td>Case</td>\n",
       "      <td>17</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ac242fd9-2968-4ac4-b816-d52a81773750')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-ac242fd9-2968-4ac4-b816-d52a81773750 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-ac242fd9-2968-4ac4-b816-d52a81773750');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "<div id=\"df-5ebf493d-235a-4b34-927b-a7744c415f64\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5ebf493d-235a-4b34-927b-a7744c415f64')\"\n",
       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "     width=\"24px\">\n",
       "    <g>\n",
       "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-5ebf493d-235a-4b34-927b-a7744c415f64 button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "            sentence_id                                    source_sentence  \\\n",
       "52  2013Algoritm.xml_97  Мы видим, что понимание Эйлером алгоритма как ...   \n",
       "27  2013Algoritm.xml_54  И все они в названии имели слово algoritmi или...   \n",
       "46  2013Algoritm.xml_80  Новое с огромным трудом пробивало себе дорогу,...   \n",
       "32  2013Algoritm.xml_56  Очень распространенной была версия о греческом...   \n",
       "25  2013Algoritm.xml_43  Из оригинального названия книги происходит сло...   \n",
       "\n",
       "                                      target_sentence  \\\n",
       "52  Мы видим, что понимание Эйлером алгоритма как ...   \n",
       "27  И все они в названии имели слову algoritmi или...   \n",
       "46  Новое с огромным трудом пробивало себе дороге ...   \n",
       "32  Очень распространенной была версия о греческом...   \n",
       "25  Из оригинального названия книга происходит сло...   \n",
       "\n",
       "                                           annotation  phenomenon  \\\n",
       "52  # sent_id = 2013Algoritm.xml_97\\n# text = Мы в...  government   \n",
       "27  # sent_id = 2013Algoritm.xml_54\\n# text = И вс...  government   \n",
       "46  # sent_id = 2013Algoritm.xml_80\\n# text = Ново...  government   \n",
       "32  # sent_id = 2013Algoritm.xml_56\\n# text = Очен...  government   \n",
       "25  # sent_id = 2013Algoritm.xml_43\\n# text = Из о...  government   \n",
       "\n",
       "     phenomenon_subtype source_word target_word  \\\n",
       "52  nominalization_case      задачи      задачу   \n",
       "27      verb_acc_object       слово       слову   \n",
       "46      verb_acc_object      дорогу      дороге   \n",
       "32  nominalization_case       книги       книга   \n",
       "25  nominalization_case       книги       книга   \n",
       "\n",
       "                                    source_word_feats  \\\n",
       "52  {'Animacy': 'Inan', 'Case': 'Gen', 'Gender': '...   \n",
       "27  {'Animacy': 'Inan', 'Case': 'Acc', 'Gender': '...   \n",
       "46  {'Animacy': 'Inan', 'Case': 'Acc', 'Gender': '...   \n",
       "32  {'Animacy': 'Inan', 'Case': 'Gen', 'Gender': '...   \n",
       "25  {'Animacy': 'Inan', 'Case': 'Gen', 'Gender': '...   \n",
       "\n",
       "                                    target_word_feats feature  length  \\\n",
       "52  {'Animacy': 'Inan', 'Case': 'Acc', 'Gender': '...    Case      18   \n",
       "27  {'Animacy': 'Inan', 'Case': 'Dat', 'Gender': '...    Case      11   \n",
       "46  {'Animacy': 'Inan', 'Case': 'Dat', 'Gender': '...    Case      35   \n",
       "32  {'Animacy': 'Inan', 'Case': 'Nom', 'Gender': '...    Case       9   \n",
       "25  {'Animacy': 'Inan', 'Case': 'Nom', 'Gender': '...    Case      17   \n",
       "\n",
       "         ipm  tree_depth  \n",
       "52  0.937500           8  \n",
       "27  0.800000           4  \n",
       "46  0.866667          14  \n",
       "32  1.000000           3  \n",
       "25  0.727273           8  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "government = pd.read_csv(\n",
    "    \"generated_data/government/ru_syntagrus-ud-dev.conllu.tsv\", sep=\"\\t\"\n",
    ")\n",
    "government.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "55YzjTqlqzek",
    "outputId": "2ab46f46-c11c-4940-d8f2-83052a0041e3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "phenomenon_subtype\n",
       "nominalization_case    24\n",
       "verb_acc_object        20\n",
       "adp_government_case     9\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "government.phenomenon_subtype.value_counts()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "machine_shape": "hm",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}