Datasets:
ua-l
/

Modalities:
Text
Formats:
json
Languages:
Ukrainian
Libraries:
Datasets
pandas
License:
File size: 13,446 Bytes
c0c4d1e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "5vjOBgTjWZ_H"
      },
      "outputs": [],
      "source": [
        "import polars as pl"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pl.read_ndjson('hf://datasets/ua-l/topics/train.jsonl')"
      ],
      "metadata": {
        "id": "t2QgnnBpWefe"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 380
        },
        "id": "cwyp-iWZWm9K",
        "outputId": "c9727e62-0063-48a2-cca8-9837b986bfe7"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "shape: (9, 4)\n",
              "โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”\n",
              "โ”‚ statistic  โ”† question_title               โ”† question_body               โ”† label                  โ”‚\n",
              "โ”‚ ---        โ”† ---                          โ”† ---                         โ”† ---                    โ”‚\n",
              "โ”‚ str        โ”† str                          โ”† str                         โ”† str                    โ”‚\n",
              "โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก\n",
              "โ”‚ count      โ”† 3246                         โ”† 3246                        โ”† 3246                   โ”‚\n",
              "โ”‚ null_count โ”† 0                            โ”† 0                           โ”† 0                      โ”‚\n",
              "โ”‚ mean       โ”† null                         โ”† null                        โ”† null                   โ”‚\n",
              "โ”‚ std        โ”† null                         โ”† null                        โ”† null                   โ”‚\n",
              "โ”‚ min        โ”† \"ะ’ะ˜ะšะ›ะฎะงะ•ะะ˜ะ™ ะ— ะ’ะ†ะ™ะกะฌะšะžะ’ะžะ“ะž    โ”†                             โ”† administrativnie_pravo โ”‚\n",
              "โ”‚            โ”† ะžะ‘ะ›ะ†โ€ฆ                        โ”†                             โ”†                        โ”‚\n",
              "โ”‚ 25%        โ”† null                         โ”† null                        โ”† null                   โ”‚\n",
              "โ”‚ 50%        โ”† null                         โ”† null                        โ”† null                   โ”‚\n",
              "โ”‚ 75%        โ”† null                         โ”† null                        โ”† null                   โ”‚\n",
              "โ”‚ max        โ”† ั‡ะธ ะผะพะถะฝะฐ ะฟะตั€ะตะฟะธัะฐั‚ะธ ั…ะฐั‚ัƒ ะฝะฐ  โ”† โšก๏ธ ะ ะพะท'ััะฝะตะฝะฝั ั‰ะพะดะพ ะฝะพะฒะพะณะพ  โ”† ziemielnie_pravo       โ”‚\n",
              "โ”‚            โ”† ะบะพโ€ฆ                          โ”† ะผะพะฑโ€ฆ                        โ”†                        โ”‚\n",
              "โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜"
            ],
            "text/html": [
              "<div><style>\n",
              ".dataframe > thead > tr,\n",
              ".dataframe > tbody > tr {\n",
              "  text-align: right;\n",
              "  white-space: pre-wrap;\n",
              "}\n",
              "</style>\n",
              "<small>shape: (9, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>statistic</th><th>question_title</th><th>question_body</th><th>label</th></tr><tr><td>str</td><td>str</td><td>str</td><td>str</td></tr></thead><tbody><tr><td>&quot;count&quot;</td><td>&quot;3246&quot;</td><td>&quot;3246&quot;</td><td>&quot;3246&quot;</td></tr><tr><td>&quot;null_count&quot;</td><td>&quot;0&quot;</td><td>&quot;0&quot;</td><td>&quot;0&quot;</td></tr><tr><td>&quot;mean&quot;</td><td>null</td><td>null</td><td>null</td></tr><tr><td>&quot;std&quot;</td><td>null</td><td>null</td><td>null</td></tr><tr><td>&quot;min&quot;</td><td>&quot;&quot;ะ’ะ˜ะšะ›ะฎะงะ•ะะ˜ะ™ ะ— ะ’ะ†ะ™ะกะฌะšะžะ’ะžะ“ะž ะžะ‘ะ›ะ†โ€ฆ</td><td>&quot;&quot;</td><td>&quot;administrativnie_pravo&quot;</td></tr><tr><td>&quot;25%&quot;</td><td>null</td><td>null</td><td>null</td></tr><tr><td>&quot;50%&quot;</td><td>null</td><td>null</td><td>null</td></tr><tr><td>&quot;75%&quot;</td><td>null</td><td>null</td><td>null</td></tr><tr><td>&quot;max&quot;</td><td>&quot;ั‡ะธ ะผะพะถะฝะฐ ะฟะตั€ะตะฟะธัะฐั‚ะธ ั…ะฐั‚ัƒ ะฝะฐ ะบะพโ€ฆ</td><td>&quot;โšก๏ธ ะ ะพะท&#x27;ััะฝะตะฝะฝั ั‰ะพะดะพ ะฝะพะฒะพะณะพ ะผะพะฑโ€ฆ</td><td>&quot;ziemielnie_pravo&quot;</td></tr></tbody></table></div>"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Count the number of questions with each label"
      ],
      "metadata": {
        "id": "BcwuLyvXWgvg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "labels = df['label'].unique()\n",
        "\n",
        "labels"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "id": "nUiTlg8GWlx9",
        "outputId": "e4f0773a-1285-482c-e02f-cf0bacb60e08"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "shape: (39,)\n",
              "Series: 'label' [str]\n",
              "[\n",
              "\t\"medicina\"\n",
              "\t\"pratsevlashtuvvannya\"\n",
              "\t\"mytne_pravo\"\n",
              "\t\"intieliektualna_vlasnist\"\n",
              "\t\"viiskovie_pravo\"\n",
              "\tโ€ฆ\n",
              "\t\"sudova_praktika\"\n",
              "\t\"korporativnie_pravo\"\n",
              "\t\"prava_spozhivachiv\"\n",
              "\t\"investitsii\"\n",
              "\t\"mizhnarodni_pravovidnosini\"\n",
              "]"
            ],
            "text/html": [
              "<div><style>\n",
              ".dataframe > thead > tr,\n",
              ".dataframe > tbody > tr {\n",
              "  text-align: right;\n",
              "  white-space: pre-wrap;\n",
              "}\n",
              "</style>\n",
              "<small>shape: (39,)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>label</th></tr><tr><td>str</td></tr></thead><tbody><tr><td>&quot;medicina&quot;</td></tr><tr><td>&quot;pratsevlashtuvvannya&quot;</td></tr><tr><td>&quot;mytne_pravo&quot;</td></tr><tr><td>&quot;intieliektualna_vlasnist&quot;</td></tr><tr><td>&quot;viiskovie_pravo&quot;</td></tr><tr><td>&hellip;</td></tr><tr><td>&quot;sudova_praktika&quot;</td></tr><tr><td>&quot;korporativnie_pravo&quot;</td></tr><tr><td>&quot;prava_spozhivachiv&quot;</td></tr><tr><td>&quot;investitsii&quot;</td></tr><tr><td>&quot;mizhnarodni_pravovidnosini&quot;</td></tr></tbody></table></div>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "label_to_question = {}\n",
        "\n",
        "for question in df.iter_rows(named=True):\n",
        "  label = question['label']\n",
        "\n",
        "  if label not in label_to_question:\n",
        "    label_to_question[label] = 1\n",
        "  else:\n",
        "    label_to_question[label] += 1"
      ],
      "metadata": {
        "id": "lVE8GQPaWzxR"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "label_to_question"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a9Mk8OgJXjWt",
        "outputId": "d1301d17-7b40-4ccf-a768-adb366e15f76"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'opodatkuvannia': 119,\n",
              " 'viiskovie_pravo': 445,\n",
              " 'bankivska_diialnist': 88,\n",
              " 'sotsialnyj_zakhist': 167,\n",
              " 'doghovirni_vidnosini': 41,\n",
              " 'prava_spozhivachiv': 29,\n",
              " 'kriminalnie_pravo': 71,\n",
              " 'avtovlasnykam': 130,\n",
              " 'piensiiata_sotsialni_viplati': 137,\n",
              " 'inshe': 527,\n",
              " 'tsivilne_pravo': 109,\n",
              " 'zhitlovi_pravovidnosini': 54,\n",
              " 'prava_vnutrishno_pieriemishchienikh_osib': 99,\n",
              " 'sudova_praktika': 138,\n",
              " 'nierukhomist': 89,\n",
              " 'simejne_pravo': 264,\n",
              " 'pratsevlashtuvvannya': 158,\n",
              " 'ziemielnie_pravo': 63,\n",
              " 'intieliektualna_vlasnist': 21,\n",
              " 'pidpriemnicka_dialnist': 38,\n",
              " 'immighratsiia_iemighratsiia': 92,\n",
              " 'dovircha_vlastnist': 8,\n",
              " 'reyestraciya_likvidaciya_bankrutstvo': 69,\n",
              " 'administrativnie_pravo': 30,\n",
              " 'gospodarskie_pravo': 37,\n",
              " 'korporativnie_pravo': 12,\n",
              " 'spadkove_pravo': 66,\n",
              " 'medicina': 60,\n",
              " 'litsienzuvannia': 8,\n",
              " 'notarialni_pytanniia': 17,\n",
              " 'gromadianski_pravovidnosini': 27,\n",
              " 'mytne_pravo': 3,\n",
              " 'dierzhavni_zakupivli': 2,\n",
              " 'strakhuvannya': 2,\n",
              " 'vighotovliennia_produktsiyi_ta_nadannia_poslugh': 5,\n",
              " 'mizhnarodni_pravovidnosini': 11,\n",
              " 'investitsii': 5,\n",
              " 'ekologiya': 3,\n",
              " 'reklama': 2}"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sorted_data_descending = dict(sorted(label_to_question.items(), key=lambda item: item[1], reverse=True))\n",
        "\n",
        "sorted_data_descending"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kTEXoR3MXg-3",
        "outputId": "0b174953-bd57-48ca-9b30-55f4ad281281"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'inshe': 527,\n",
              " 'viiskovie_pravo': 445,\n",
              " 'simejne_pravo': 264,\n",
              " 'sotsialnyj_zakhist': 167,\n",
              " 'pratsevlashtuvvannya': 158,\n",
              " 'sudova_praktika': 138,\n",
              " 'piensiiata_sotsialni_viplati': 137,\n",
              " 'avtovlasnykam': 130,\n",
              " 'opodatkuvannia': 119,\n",
              " 'tsivilne_pravo': 109,\n",
              " 'prava_vnutrishno_pieriemishchienikh_osib': 99,\n",
              " 'immighratsiia_iemighratsiia': 92,\n",
              " 'nierukhomist': 89,\n",
              " 'bankivska_diialnist': 88,\n",
              " 'kriminalnie_pravo': 71,\n",
              " 'reyestraciya_likvidaciya_bankrutstvo': 69,\n",
              " 'spadkove_pravo': 66,\n",
              " 'ziemielnie_pravo': 63,\n",
              " 'medicina': 60,\n",
              " 'zhitlovi_pravovidnosini': 54,\n",
              " 'doghovirni_vidnosini': 41,\n",
              " 'pidpriemnicka_dialnist': 38,\n",
              " 'gospodarskie_pravo': 37,\n",
              " 'administrativnie_pravo': 30,\n",
              " 'prava_spozhivachiv': 29,\n",
              " 'gromadianski_pravovidnosini': 27,\n",
              " 'intieliektualna_vlasnist': 21,\n",
              " 'notarialni_pytanniia': 17,\n",
              " 'korporativnie_pravo': 12,\n",
              " 'mizhnarodni_pravovidnosini': 11,\n",
              " 'dovircha_vlastnist': 8,\n",
              " 'litsienzuvannia': 8,\n",
              " 'vighotovliennia_produktsiyi_ta_nadannia_poslugh': 5,\n",
              " 'investitsii': 5,\n",
              " 'mytne_pravo': 3,\n",
              " 'ekologiya': 3,\n",
              " 'dierzhavni_zakupivli': 2,\n",
              " 'strakhuvannya': 2,\n",
              " 'reklama': 2}"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    }
  ]
}