data_preprocessing.ipynb

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        "<a href=\"https://colab.research.google.com/github/bushra-rafia/Bangla-Chatbot/blob/master/data_preprocessing.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "source": [
        "**Import libraries**"
      ],
      "metadata": {
        "id": "ratIVCQpOiLz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
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          "base_uri": "https://localhost:8080/"
        },
        "id": "2v5lwn3_-vj3",
        "outputId": "6b073f8d-6307-4872-d68a-dd5f81b528aa"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import os"
      ],
      "metadata": {
        "id": "1GSgyGYLOmSR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Load the Dataset**"
      ],
      "metadata": {
        "id": "kEy2eybrOpV-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# private dataset\n",
        "df= pd.read_csv(\"/content/drive/MyDrive/CSE715-Project Group 6/Codebase/dataset/bangla_conversational_dataset.csv\")"
      ],
      "metadata": {
        "id": "Rrm54LmtOo-a"
      },
      "execution_count": null,
      "outputs": []
    },
    {
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      "source": [
        "df.tail()"
      ],
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        "id": "OreW1PXmO6Cf",
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              "                      Question                                   Response  \\\n",
              "12680  আপনার কথার কোন অর্থ নাই          তুমি আমার কাছে নিখুঁত অর্থবোধ কর.   \n",
              "12681  আপনার কথার কোন অর্থ নাই  এটা আমার কৃত্রিম মস্তিষ্ক সব অর্থবোধ করে.   \n",
              "12682       আপনি কি বুদ্ধিমান?                                        না.   \n",
              "12683     কোন ভাষায় লেখা আছে?                                     পাইথন.   \n",
              "12684     কোন ভাষায় লেখা আছে?                           আমি পাইথনে লেখা.   \n",
              "\n",
              "                   Tag  \n",
              "12680  Veriety Convo 3  \n",
              "12681  Veriety Convo 3  \n",
              "12682  Veriety Convo 3  \n",
              "12683  Veriety Convo 3  \n",
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          "metadata": {},
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    {
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      "source": [
        "**Check NULL values**"
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              "       Question  Response    Tag\n",
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              "      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-e584b19b-d0df-4553-ac5f-cb7716a974ec 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-e584b19b-d0df-4553-ac5f-cb7716a974ec');\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-83d2c053-3000-4a50-978f-cf98981a08ca\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-83d2c053-3000-4a50-978f-cf98981a08ca')\"\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-83d2c053-3000-4a50-978f-cf98981a08ca button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "61STLQVwNzSp",
        "outputId": "a5c366e6-ffcf-47f7-8a96-e68beb6bda87"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 12685 entries, 0 to 12684\n",
            "Data columns (total 3 columns):\n",
            " #   Column    Non-Null Count  Dtype \n",
            "---  ------    --------------  ----- \n",
            " 0   Question  12685 non-null  object\n",
            " 1   Response  12685 non-null  object\n",
            " 2   Tag       12680 non-null  object\n",
            "dtypes: object(3)\n",
            "memory usage: 297.4+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# check for NULL values\n",
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PDgDB-Y9N1kr",
        "outputId": "2825710b-f779-40ca-8ecd-380cdaa8523d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Question    0\n",
              "Response    0\n",
              "Tag         5\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Remove empty values**"
      ],
      "metadata": {
        "id": "xddeAD2LYxdJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Remove empty values for each column\n",
        "# df = df.apply(lambda col: col.dropna().reset_index(drop=True))"
      ],
      "metadata": {
        "id": "uXAF8HQhYwbS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Drop Tag coloumn**"
      ],
      "metadata": {
        "id": "0GrLjMWLNu9q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# drop Attribution\n",
        "df.drop(['Tag'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "JM7SkBN_Pg62"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Conver values to string format**"
      ],
      "metadata": {
        "id": "IUbbZytxN9QR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# convert all values to string format\n",
        "df['Question'] = df['Question'].astype(str)\n",
        "df['Response'] = df['Response'].astype(str)"
      ],
      "metadata": {
        "id": "Qwx9bwKjSdn7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Remove mutiple spaces**"
      ],
      "metadata": {
        "id": "DnrzdUAwuVun"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# remove mutiple spaces if exists\n",
        "df.Queries = df.Question.apply(lambda x: \" \".join(x.split()))\n",
        "df.Response = df.Response.apply(lambda x: \" \".join(x.split()))"
      ],
      "metadata": {
        "id": "S5K8aDisRfjT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fbcfed0f-4bef-455a-943a-c023266b49e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-58-1f271c6e6574>:2: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
            "  df.Queries = df.Question.apply(lambda x: \" \".join(x.split()))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Remove all punctuations**"
      ],
      "metadata": {
        "id": "bK-BS3kvTFNc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import string\n",
        "string.punctuation"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "fm8uTOCYSgYF",
        "outputId": "2de6ed49-e1fa-4a6d-b088-088eaf476c4e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "translator= str.maketrans('','', string.punctuation)"
      ],
      "metadata": {
        "id": "wmG3m66QSwpa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.Question= df.Question.apply(lambda x: x.translate(translator))\n",
        "df.Response= df.Response.apply(lambda x: x.translate(translator))"
      ],
      "metadata": {
        "id": "SG9JwvYnS9WL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# df = df.drop_duplicates()"
      ],
      "metadata": {
        "id": "pFzDtB1LkkPF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Add special tokens in response at start and at end**"
      ],
      "metadata": {
        "id": "wPTXSjHRjQMM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.Response = df.Response.apply(lambda x: 'শুরু '+ x +' শেষ')"
      ],
      "metadata": {
        "id": "GODJz4B3jZ1G"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.Question"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QPd0UzwSjibl",
        "outputId": "124fb7b8-fc3d-4650-9ebe-98220dc8596d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                          এই যে\n",
              "1                           হেলো\n",
              "2                         হ্যালো\n",
              "3                            হাই\n",
              "4                             হে\n",
              "                  ...           \n",
              "12680    আপনার কথার কোন অর্থ নাই\n",
              "12681    আপনার কথার কোন অর্থ নাই\n",
              "12682          আপনি কি বুদ্ধিমান\n",
              "12683        কোন ভাষায় লেখা আছে\n",
              "12684        কোন ভাষায় লেখা আছে\n",
              "Name: Question, Length: 12685, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.Response"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EffxoXzajlCL",
        "outputId": "75d78045-ddb9-4da6-a3b3-37906394a1e2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                শুরু হাই আমি কীভাবে সাহায্য করতে পারি শেষ\n",
              "1        শুরু হ্যালো আমি আপনাকে কীভাবে সাহায্য করতে পার...\n",
              "2              শুরু হ্যালো আমি আপনার জন্য কী করতে পারি শেষ\n",
              "3         শুরু হাই আমি আপনাকে কীভাবে সাহায্য করতে পারি শেষ\n",
              "4                 শুরু হাই আমি আপনার জন্য কী করতে পারি শেষ\n",
              "                               ...                        \n",
              "12680            শুরু তুমি আমার কাছে নিখুঁত অর্থবোধ কর শেষ\n",
              "12681    শুরু এটা আমার কৃত্রিম মস্তিষ্ক সব অর্থবোধ করে শেষ\n",
              "12682                                          শুরু না শেষ\n",
              "12683                                       শুরু পাইথন শেষ\n",
              "12684                             শুরু আমি পাইথনে লেখা শেষ\n",
              "Name: Response, Length: 12685, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# import re\n",
        "\n",
        "# def clean_text(text):\n",
        "#     text = re.sub(r\"[-()\\\"#/@;:<>{}`+=~|.!?,।]\", \"\", text)\n",
        "#     text = \" \".join(text.split())\n",
        "#     return text\n",
        "\n",
        "# clean_queries = []\n",
        "# for item in df.Queries:\n",
        "#     clean_queries.append(clean_text(str(item)))\n",
        "# clean_response = []\n",
        "# for item in df.Response:\n",
        "#     clean_response.append(clean_text(str(item)))\n",
        "\n",
        "# print(len(clean_queries))\n",
        "# print(len(clean_response))"
      ],
      "metadata": {
        "id": "nj9BGxhdjzWP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# get in one list\n",
        "clean_queries = df.Question.to_list()\n",
        "clean_response = df.Response.to_list()"
      ],
      "metadata": {
        "id": "Y72yIrCiWCI8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clean_response[:10]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7Rs556XHWJey",
        "outputId": "8ef1a869-4621-48d0-be4d-4620738e74be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['শুরু হাই আমি কীভাবে সাহায্য করতে পারি শেষ',\n",
              " 'শুরু হ্যালো আমি আপনাকে কীভাবে সাহায্য করতে পারি শেষ',\n",
              " 'শুরু হ্যালো আমি আপনার জন্য কী করতে পারি শেষ',\n",
              " 'শুরু হাই আমি আপনাকে কীভাবে সাহায্য করতে পারি শেষ',\n",
              " 'শুরু হাই আমি আপনার জন্য কী করতে পারি শেষ',\n",
              " 'শুরু হ্যালো কেমন আছেন শেষ',\n",
              " 'শুরু হাই ভালোই আছি শেষ',\n",
              " 'শুরু এইতো ভালো আছি কিভাবে সাহায্য করতে পারি শেষ',\n",
              " 'শুরু ভালো চলছেআপনি কি জানতে চান শেষ',\n",
              " 'শুরু আমি ভালো আছি আমি কি করতে পারি শেষ']"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_queries[:10]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i9SLVjxQWHiy",
        "outputId": "0bc93e98-3cbd-4ebc-bcb7-73394a6e781a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['এই যে',\n",
              " 'হেলো',\n",
              " 'হ্যালো',\n",
              " 'হাই',\n",
              " 'হে',\n",
              " 'হায়',\n",
              " 'হাই কেমন আছো ',\n",
              " 'কেমন চলছে দিন কাল ',\n",
              " 'আপনি কেমন আছেন',\n",
              " 'হাই আপনি কেমন আছেন']"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Check for max queries length**"
      ],
      "metadata": {
        "id": "tb2r9B-ZOKLQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sentence_with_max_words = max(clean_queries, key=lambda x: len(x.split()))\n",
        "\n",
        "print(sentence_with_max_words)\n",
        "print(len(sentence_with_max_words.split()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SIkyU5U5Hmm7",
        "outputId": "761e5fc6-72b5-4ac8-da7f-66a033160725"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "যদিও কোন বাংলার জনসংখ্যা ছিল সবচেয়ে বেশি কিন্তু ওঁনার উদ্যোগ ছিল সাম্য আনা যাতে পূর্ব ও পশ্চিম পাকিস্তানের মধ্যে সর্বক্ষেত্রে সমতা প্রতিষ্ঠিত হয় সে ব্যাপারে তিনি একটা উদ্যোগ নিয়েছিলেন বলে মনে হয় কিন্তু প্রকৃতপক্ষে তিনি বলে ফেললেন আমি প্রধানমন্ত্রী হয়েছি তাতেই তো ৮০ ভাগ পূর্ব পাকিস্তানের সার্বভৌমত্ব এসে গেছে। \n",
            "49\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Check for min queries length**"
      ],
      "metadata": {
        "id": "AJu7JmzdOQQp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sentence_with_max_words = min(clean_queries, key=lambda x: len(x.split()))\n",
        "\n",
        "print(sentence_with_max_words)\n",
        "print(len(sentence_with_max_words.split()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sp2j5o8tLOeJ",
        "outputId": "ee69b6b7-3e63-471d-ae77-c72eecaa48b4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "হেলো\n",
            "1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Check for max response length**"
      ],
      "metadata": {
        "id": "ZmxVei6KObx4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sentence_with_max_words = max(clean_response, key=lambda x: len(x.split()))\n",
        "\n",
        "print(sentence_with_max_words)\n",
        "print(len(sentence_with_max_words.split()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "woGXqBQUHrQr",
        "outputId": "c11d722d-63de-41eb-aa99-ba82108d79c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "শুরু এটি সম্পর্কে খুব বেশি নিশ্চিত বোধ করছেন না টিবিএইচ। আমি খুব ব্যস্ত ছিলাম তাই আমি খুব বেশি অধ্যয়ন করি না আমি পরে কিছু অধ্যয়নের সেশনে যোগ দিতে পারি শেষ\n",
            "30\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Check for min response length**"
      ],
      "metadata": {
        "id": "3Kf2Lmf5Of2_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sentence_with_max_words = min(clean_response, key=lambda x: len(x.split()))\n",
        "\n",
        "print(sentence_with_max_words)\n",
        "print(len(sentence_with_max_words.split()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2JYjORlmLQXv",
        "outputId": "ca703984-8dfb-4528-faae-b8266dd56742"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "শুরু ধন্যবাদ শেষ\n",
            "3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Keep sentences length between 1 to 30**"
      ],
      "metadata": {
        "id": "z8grc17QO2cQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Remove questions and answers that are shorter than 1 word and longer than 30 words.\n",
        "min_line_length = 1\n",
        "max_line_length = 30\n",
        "\n",
        "# Filter out the questions that are too short/long\n",
        "short_questions_temp = []\n",
        "short_answers_temp = []\n",
        "\n",
        "for i, question in enumerate(clean_queries):\n",
        "    if len(question.split()) >= min_line_length and len(question.split()) <= max_line_length:\n",
        "        short_questions_temp.append(question)\n",
        "        short_answers_temp.append(clean_response[i])"
      ],
      "metadata": {
        "id": "pvfagnjq7hMc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "max_line_length = 30\n",
        "# Filter out the answers that are too short/long\n",
        "short_questions = []\n",
        "short_answers = []\n",
        "\n",
        "for i, answer in enumerate(short_answers_temp):\n",
        "    if len(answer.split()) >= min_line_length and len(answer.split()) <= max_line_length:\n",
        "        short_answers.append(answer)\n",
        "        short_questions.append(short_questions_temp[i])"
      ],
      "metadata": {
        "id": "JOBT0zyH7wum"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(len(short_questions))\n",
        "print(len(short_answers))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Ke7ap5O70aZ",
        "outputId": "230f1aa5-0be2-476f-ffa5-4da66b91a9d9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12629\n",
            "12629\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "r = np.random.randint(1,len(short_questions))\n",
        "\n",
        "for i in range(r, r+3):\n",
        "    print(short_questions[i])\n",
        "    print(short_answers[i])\n",
        "    print()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k2oIIyl07jAs",
        "outputId": "c04d76e6-4e11-4906-e8ca-af0cbf6f157f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "আসুন ডাবলচেক করার জন্য এটির সমস্ত কিছুর উপরে যাই\n",
            "শুরু অবশ্যই আসুন এটি করি শেষ\n",
            "\n",
            "অবশ্যই আসুন এটি করি\n",
            "শুরু এখানে উত্তর পত্রক আপনি কি এমন একটি জায়গা দেখতে পাচ্ছেন যেখানে আমি কিছু ভুল চিহ্নিত করেছি যা সঠিক হওয়া উচিত ছিল শেষ\n",
            "\n",
            "এখানে উত্তর পত্রক আপনি কি এমন একটি জায়গা দেখতে পাচ্ছেন যেখানে আমি কিছু ভুল চিহ্নিত করেছি যা সঠিক হওয়া উচিত ছিল\n",
            "শুরু আমি কোনো ভুল দেখি না শেষ\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = {'Queries': short_questions, 'Response': short_answers}\n",
        "df = pd.DataFrame(data)\n",
        "\n",
        "# print(df)"
      ],
      "metadata": {
        "id": "ADyD1lEg8dJ-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ZuzcfRnfRVjy",
        "outputId": "5cf20cf3-14d1-450f-f481-230bfb17b9c9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Queries                                           Response\n",
              "0   এই যে          শুরু হাই আমি কীভাবে সাহায্য করতে পারি শেষ\n",
              "1    হেলো  শুরু হ্যালো আমি আপনাকে কীভাবে সাহায্য করতে পার...\n",
              "2  হ্যালো        শুরু হ্যালো আমি আপনার জন্য কী করতে পারি শেষ\n",
              "3     হাই   শুরু হাই আমি আপনাকে কীভাবে সাহায্য করতে পারি শেষ\n",
              "4      হে           শুরু হাই আমি আপনার জন্য কী করতে পারি শেষ"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d1c8ce9d-6f17-4202-917d-69a51bf6f2bf\" 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>Queries</th>\n",
              "      <th>Response</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>এই যে</td>\n",
              "      <td>শুরু হাই আমি কীভাবে সাহায্য করতে পারি শেষ</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>হেলো</td>\n",
              "      <td>শুরু হ্যালো আমি আপনাকে কীভাবে সাহায্য করতে পার...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>হ্যালো</td>\n",
              "      <td>শুরু হ্যালো আমি আপনার জন্য কী করতে পারি শেষ</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>হাই</td>\n",
              "      <td>শুরু হাই আমি আপনাকে কীভাবে সাহায্য করতে পারি শেষ</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>হে</td>\n",
              "      <td>শুরু হাই আমি আপনার জন্য কী করতে পারি শেষ</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-d1c8ce9d-6f17-4202-917d-69a51bf6f2bf')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </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-d1c8ce9d-6f17-4202-917d-69a51bf6f2bf 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-d1c8ce9d-6f17-4202-917d-69a51bf6f2bf');\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-1bcffce6-f971-4923-a552-a080e1afc74e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1bcffce6-f971-4923-a552-a080e1afc74e')\"\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",
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              "    </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-1bcffce6-f971-4923-a552-a080e1afc74e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Save the cleaned dataset**"
      ],
      "metadata": {
        "id": "-0VKBvV3O_ZD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# save the cleaned dataset\n",
        "df.to_csv(\"/content/drive/MyDrive/CSE715-Project Group 6/Codebase/dataset/cleaned_dataset.csv\",index=None)"
      ],
      "metadata": {
        "id": "3zxsI2gv2QJY"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}