[colab]_Text_Classification_using_NN.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "#**Text Classification using Neural Network (Torchtext)**\n",
        "**Nguyen Tri Cao**\n"
      ],
      "metadata": {
        "id": "taaQW5YzqXCf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**I. Pytorch & Torchtext**"
      ],
      "metadata": {
        "id": "Q6VH4oC_qgd3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q torchtext==0.16.0"
      ],
      "metadata": {
        "id": "iq2ZcvmMrDKS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##**1. Index-based Representation**"
      ],
      "metadata": {
        "id": "OrMGVUn0q6YT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from torchtext.data.utils import get_tokenizer\n",
        "from torchtext.vocab import build_vocab_from_iterator\n",
        "\n",
        "data = [\"dog bites man\", \"man bites dog\", \"dog eats meat\", \"man eats food\"]\n",
        "\n",
        "# Define the max vocabulary size\n",
        "vocab_size = 8\n",
        "\n",
        "# Define tokenizer function\n",
        "tokenizer = get_tokenizer('basic_english')\n",
        "\n",
        "# Create a function to yield list of tokens\n",
        "def yield_tokens(examples):\n",
        "    for text in examples:\n",
        "        yield tokenizer(text)\n",
        "\n",
        "# Create vocabulary\n",
        "vocab = build_vocab_from_iterator(\n",
        "    yield_tokens(data),\n",
        "    max_tokens=vocab_size,\n",
        "    specials=[\"<unk>\"]\n",
        ")\n",
        "vocab.set_default_index(vocab[\"<unk>\"])\n",
        "\n",
        "vocab.get_stoi()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "175VD-_CqnM-",
        "outputId": "2ba43813-1e7a-4e62-bca0-0b1f7228c824"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'food': 5, 'eats': 4, 'bites': 3, 'meat': 6, 'man': 2, 'dog': 1, '<unk>': 0}"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vocab(tokenizer(\"dog bites man\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Bc1SyABgrJW2",
        "outputId": "c8b89985-6f1b-433c-b72b-b6139029ff71"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 3, 2]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vocab(tokenizer(\"dog and man\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l5kUZZ8irLLx",
        "outputId": "231f2933-732b-4f39-bc84-c191bb944fd4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 0, 2]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##**2. Padding**"
      ],
      "metadata": {
        "id": "lO0R_l0MrVdY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from torchtext.data.utils import get_tokenizer\n",
        "from torchtext.vocab import build_vocab_from_iterator\n",
        "\n",
        "data = [\"dog bites man\", \"man bites dog\", \"dog eats meat\", \"man eats food\"]\n",
        "\n",
        "# Define the max vocabulary size\n",
        "vocab_size = 8\n",
        "\n",
        "# Define tokenizer function\n",
        "tokenizer = get_tokenizer('basic_english')\n",
        "\n",
        "# Create a function to yield list of tokens\n",
        "def yield_tokens(examples):\n",
        "    for text in examples:\n",
        "        yield tokenizer(text)\n",
        "\n",
        "# Create vocabulary\n",
        "vocab = build_vocab_from_iterator(\n",
        "    yield_tokens(data),\n",
        "    max_tokens=vocab_size,\n",
        "    specials=[\"<pad>\", \"<unk>\"]\n",
        ")\n",
        "vocab.set_default_index(vocab[\"<unk>\"])\n",
        "\n",
        "vocab.get_stoi()['<pad>']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zJSMYLmMrX1V",
        "outputId": "ef7f56df-bbc6-4617-b370-3084fdda29c9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from torchtext.transforms import PadTransform\n",
        "\n",
        "# define padding\n",
        "max_len = 4\n",
        "pad_id = vocab.get_stoi()['<pad>']\n",
        "padder = PadTransform(max_len, pad_id)\n",
        "\n",
        "input = torch.tensor([2, 4, 3])\n",
        "padded_input = padder(input)\n",
        "padded_input"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MK6ETXOircBi",
        "outputId": "02accc67-06f2-45a3-9c92-62cbe7c066c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([2, 4, 3, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##**3. Truncating**"
      ],
      "metadata": {
        "id": "X2YWSqGnrmWb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torchtext.transforms import Truncate\n",
        "\n",
        "# define padding\n",
        "max_len = 3\n",
        "truncater = Truncate(max_len)\n",
        "\n",
        "input = [2, 2, 4, 3]\n",
        "truncated_input = truncater(input)\n",
        "truncated_input"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aMTbpkmyrpZN",
        "outputId": "22992c52-06eb-4818-95b9-e3485253068a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[2, 2, 4]"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##**4. Embedding Layer**"
      ],
      "metadata": {
        "id": "Cim-c7C0rvlb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import torch.nn as nn\n",
        "\n",
        "vocab_size = 7\n",
        "embedding_dim = 3\n",
        "embedding = nn.Embedding(vocab_size, embedding_dim)\n",
        "embedding.weight"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qPVzaMwhryuM",
        "outputId": "fc6e4e06-a6fc-43e0-f4e4-bc6f1ecb2fd2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Parameter containing:\n",
              "tensor([[-0.6559,  1.3594,  0.1479],\n",
              "        [-1.8895, -2.0806,  0.5763],\n",
              "        [ 0.3984, -0.4017,  0.2369],\n",
              "        [-0.4685,  0.4417,  0.2814],\n",
              "        [ 0.8080,  0.3747,  1.2526],\n",
              "        [ 1.4169, -0.2143,  1.6728],\n",
              "        [-0.1761,  0.8684,  0.6982]], requires_grad=True)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "\n",
        "input = torch.LongTensor([[1, 2, 4], [4, 3, 2]])\n",
        "embedding(input)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vNLfTWGQr3Yp",
        "outputId": "d48f3be9-74ed-48b4-ba7f-a5631a7dec0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[[-1.8895, -2.0806,  0.5763],\n",
              "         [ 0.3984, -0.4017,  0.2369],\n",
              "         [ 0.8080,  0.3747,  1.2526]],\n",
              "\n",
              "        [[ 0.8080,  0.3747,  1.2526],\n",
              "         [-0.4685,  0.4417,  0.2814],\n",
              "         [ 0.3984, -0.4017,  0.2369]]], grad_fn=<EmbeddingBackward0>)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##**5. EmbeddingBag**"
      ],
      "metadata": {
        "id": "vkAYWWrGr6KB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import torch.nn as nn\n",
        "\n",
        "vocab_size = 7\n",
        "embedding_dim = 4\n",
        "embedding_sum = nn.EmbeddingBag(vocab_size, embedding_dim, mode='sum')\n",
        "embedding_sum.weight"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JD5u7gcLr8pc",
        "outputId": "d28d8aa8-ebe9-4477-d5b2-07dbe27866d8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Parameter containing:\n",
              "tensor([[-2.6702e-01,  5.8259e-02,  1.3152e-01,  6.7637e-01],\n",
              "        [ 2.0520e-01, -4.8388e-01,  7.6478e-01, -1.1857e-01],\n",
              "        [-4.4869e-01,  5.8414e-01,  2.8653e-01,  1.3255e+00],\n",
              "        [ 5.8145e-01,  3.1610e-01,  4.5692e-04,  7.9475e-02],\n",
              "        [-4.7870e-01, -3.6110e-01, -2.1863e+00, -1.1441e+00],\n",
              "        [ 5.2941e-02,  6.4727e-01,  7.5345e-02,  9.6576e-02],\n",
              "        [-1.0077e+00, -1.2717e+00,  1.2289e+00, -1.4177e+00]],\n",
              "       requires_grad=True)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "inputs = torch.tensor([1, 2, 4, 5, 4, 3], dtype=torch.long)\n",
        "offsets = torch.tensor([0, 3], dtype=torch.long)\n",
        "embedding_sum(inputs, offsets)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IdpnoMNysAwj",
        "outputId": "0187cdec-095d-4a40-c3de-12c0bc1c49e5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[-0.7222, -0.2608, -1.1350,  0.0629],\n",
              "        [ 0.1557,  0.6023, -2.1105, -0.9680]], grad_fn=<EmbeddingBagBackward0>)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch.nn as nn\n",
        "\n",
        "vocab_size = 7\n",
        "embedding_dim = 4\n",
        "embedding_sum = nn.EmbeddingBag(vocab_size, embedding_dim, mode='mean')\n",
        "embedding_sum.weight"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rct1KtdysFDM",
        "outputId": "9786bc55-24a5-43b3-e003-e9e98cd872c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Parameter containing:\n",
              "tensor([[-0.8216, -0.3100, -1.2001, -0.6886],\n",
              "        [ 0.8103,  1.1072, -1.6553, -2.0181],\n",
              "        [ 0.9720, -0.3425,  0.0490,  0.1603],\n",
              "        [-1.9053,  0.8655, -0.0293,  2.0686],\n",
              "        [-1.1435, -1.7515, -2.0975, -1.3768],\n",
              "        [-1.2042,  0.0940,  0.1093, -0.9185],\n",
              "        [ 0.4268, -0.4048, -0.7835,  0.2372]], requires_grad=True)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "inputs = torch.tensor([1, 2, 4, 5, 4, 3], dtype=torch.long)\n",
        "offsets = torch.tensor([0, 3], dtype=torch.long)\n",
        "embedding_sum(inputs, offsets)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PHJXnxYxsHzs",
        "outputId": "4a9c3558-9faf-4513-a874-0a7d360c5763"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[ 0.2129, -0.3290, -1.2346, -1.0782],\n",
              "        [-1.4177, -0.2640, -0.6725, -0.0756]], grad_fn=<EmbeddingBagBackward0>)"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**II. Text Classification**"
      ],
      "metadata": {
        "id": "zNLm4l85rQN4"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dbtPHUfVrkrB"
      },
      "source": [
        "##**1. Download Dataset from Github**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "O0DiBQK5rkrD",
        "outputId": "31e26d7e-fdd5-4531-fb03-95da3490b417",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'ntc-scv'...\n",
            "remote: Enumerating objects: 39, done.\u001b[K\n",
            "remote: Counting objects: 100% (4/4), done.\u001b[K\n",
            "remote: Compressing objects: 100% (3/3), done.\u001b[K\n",
            "remote: Total 39 (delta 0), reused 4 (delta 0), pack-reused 35\u001b[K\n",
            "Receiving objects: 100% (39/39), 186.94 MiB | 33.88 MiB/s, done.\n",
            "Resolving deltas: 100% (9/9), done.\n",
            "Updating files: 100% (11/11), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/congnghia0609/ntc-scv.git"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yU1hU_UvrkrE",
        "outputId": "bf5ef4fe-70bb-4b1e-fd47-406096ae64f6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "  inflating: ./data/data_train/train/pos/31228.txt  \n",
            "  inflating: ./data/data_train/train/pos/3123.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3138.txt  \n",
            "  inflating: ./data/data_train/train/pos/31384.txt  \n",
            "  inflating: ./data/data_train/train/pos/31385.txt  \n",
            "  inflating: ./data/data_train/train/pos/31386.txt  \n",
            "  inflating: ./data/data_train/train/pos/31387.txt  \n",
            "  inflating: ./data/data_train/train/pos/31388.txt  \n",
            "  inflating: ./data/data_train/train/pos/31389.txt  \n",
            "  inflating: ./data/data_train/train/pos/3139.txt  \n",
            "  inflating: ./data/data_train/train/pos/31394.txt  \n",
            "  inflating: ./data/data_train/train/pos/31395.txt  \n",
            "  inflating: ./data/data_train/train/pos/31396.txt  \n",
            "  inflating: ./data/data_train/train/pos/31397.txt  \n",
            " extracting: ./data/data_train/train/pos/31401.txt  \n",
            " extracting: ./data/data_train/train/pos/31404.txt  \n",
            "  inflating: ./data/data_train/train/pos/31405.txt  \n",
            "  inflating: ./data/data_train/train/pos/31406.txt  \n",
            "  inflating: ./data/data_train/train/pos/31407.txt  \n",
            "  inflating: ./data/data_train/train/pos/31408.txt  \n",
            "  inflating: ./data/data_train/train/pos/31409.txt  \n",
            "  inflating: ./data/data_train/train/pos/31410.txt  \n",
            "  inflating: ./data/data_train/train/pos/31419.txt  \n",
            "  inflating: ./data/data_train/train/pos/3142.txt  \n",
            "  inflating: ./data/data_train/train/pos/31422.txt  \n",
            "  inflating: ./data/data_train/train/pos/31423.txt  \n",
            "  inflating: ./data/data_train/train/pos/31425.txt  \n",
            "  inflating: ./data/data_train/train/pos/31426.txt  \n",
            "  inflating: ./data/data_train/train/pos/31427.txt  \n",
            "  inflating: ./data/data_train/train/pos/31428.txt  \n",
            "  inflating: ./data/data_train/train/pos/31429.txt  \n",
            "  inflating: ./data/data_train/train/pos/31433.txt  \n",
            "  inflating: ./data/data_train/train/pos/3144.txt  \n",
            "  inflating: ./data/data_train/train/pos/31446.txt  \n",
            "  inflating: ./data/data_train/train/pos/31447.txt  \n",
            "  inflating: ./data/data_train/train/pos/31448.txt  \n",
            "  inflating: ./data/data_train/train/pos/31449.txt  \n",
            "  inflating: ./data/data_train/train/pos/3145.txt  \n",
            "  inflating: ./data/data_train/train/pos/31451.txt  \n",
            "  inflating: ./data/data_train/train/pos/31452.txt  \n",
            "  inflating: ./data/data_train/train/pos/31453.txt  \n",
            "  inflating: ./data/data_train/train/pos/31454.txt  \n",
            "  inflating: ./data/data_train/train/pos/31460.txt  \n",
            "  inflating: ./data/data_train/train/pos/31461.txt  \n",
            "  inflating: ./data/data_train/train/pos/31463.txt  \n",
            "  inflating: ./data/data_train/train/pos/31464.txt  \n",
            "  inflating: ./data/data_train/train/pos/31465.txt  \n",
            "  inflating: ./data/data_train/train/pos/31466.txt  \n",
            "  inflating: ./data/data_train/train/pos/31467.txt  \n",
            "  inflating: ./data/data_train/train/pos/31468.txt  \n",
            "  inflating: ./data/data_train/train/pos/31469.txt  \n",
            "  inflating: ./data/data_train/train/pos/3147.txt  \n",
            "  inflating: ./data/data_train/train/pos/31471.txt  \n",
            "  inflating: ./data/data_train/train/pos/31472.txt  \n",
            "  inflating: ./data/data_train/train/pos/31479.txt  \n",
            "  inflating: ./data/data_train/train/pos/31481.txt  \n",
            "  inflating: ./data/data_train/train/pos/31484.txt  \n",
            "  inflating: ./data/data_train/train/pos/31486.txt  \n",
            "  inflating: ./data/data_train/train/pos/31487.txt  \n",
            "  inflating: ./data/data_train/train/pos/31490.txt  \n",
            "  inflating: ./data/data_train/train/pos/31491.txt  \n",
            "  inflating: ./data/data_train/train/pos/31499.txt  \n",
            "  inflating: ./data/data_train/train/pos/315.txt  \n",
            "  inflating: ./data/data_train/train/pos/3150.txt  \n",
            "  inflating: ./data/data_train/train/pos/31503.txt  \n",
            "  inflating: ./data/data_train/train/pos/3151.txt  \n",
            "  inflating: ./data/data_train/train/pos/31514.txt  \n",
            "  inflating: ./data/data_train/train/pos/31515.txt  \n",
            "  inflating: ./data/data_train/train/pos/31516.txt  \n",
            "  inflating: ./data/data_train/train/pos/3152.txt  \n",
            "  inflating: ./data/data_train/train/pos/31522.txt  \n",
            "  inflating: ./data/data_train/train/pos/31528.txt  \n",
            "  inflating: ./data/data_train/train/pos/31529.txt  \n",
            "  inflating: ./data/data_train/train/pos/31533.txt  \n",
            "  inflating: ./data/data_train/train/pos/31535.txt  \n",
            "  inflating: ./data/data_train/train/pos/31537.txt  \n",
            " extracting: ./data/data_train/train/pos/31539.txt  \n",
            "  inflating: ./data/data_train/train/pos/3154.txt  \n",
            "  inflating: ./data/data_train/train/pos/31540.txt  \n",
            "  inflating: ./data/data_train/train/pos/31541.txt  \n",
            "  inflating: ./data/data_train/train/pos/31543.txt  \n",
            "  inflating: ./data/data_train/train/pos/31545.txt  \n",
            "  inflating: ./data/data_train/train/pos/31549.txt  \n",
            "  inflating: ./data/data_train/train/pos/31551.txt  \n",
            "  inflating: ./data/data_train/train/pos/31552.txt  \n",
            "  inflating: ./data/data_train/train/pos/31554.txt  \n",
            "  inflating: ./data/data_train/train/pos/31555.txt  \n",
            "  inflating: ./data/data_train/train/pos/31559.txt  \n",
            "  inflating: ./data/data_train/train/pos/31560.txt  \n",
            "  inflating: ./data/data_train/train/pos/31563.txt  \n",
            "  inflating: ./data/data_train/train/pos/31566.txt  \n",
            "  inflating: ./data/data_train/train/pos/31570.txt  \n",
            "  inflating: ./data/data_train/train/pos/31573.txt  \n",
            "  inflating: ./data/data_train/train/pos/31574.txt  \n",
            "  inflating: ./data/data_train/train/pos/31577.txt  \n",
            "  inflating: ./data/data_train/train/pos/31578.txt  \n",
            "  inflating: ./data/data_train/train/pos/31582.txt  \n",
            "  inflating: ./data/data_train/train/pos/31584.txt  \n",
            " extracting: ./data/data_train/train/pos/31588.txt  \n",
            "  inflating: ./data/data_train/train/pos/3159.txt  \n",
            "  inflating: ./data/data_train/train/pos/31590.txt  \n",
            "  inflating: ./data/data_train/train/pos/31591.txt  \n",
            "  inflating: ./data/data_train/train/pos/31593.txt  \n",
            "  inflating: ./data/data_train/train/pos/31595.txt  \n",
            "  inflating: ./data/data_train/train/pos/31596.txt  \n",
            "  inflating: ./data/data_train/train/pos/3160.txt  \n",
            "  inflating: ./data/data_train/train/pos/31601.txt  \n",
            "  inflating: ./data/data_train/train/pos/31602.txt  \n",
            "  inflating: ./data/data_train/train/pos/31604.txt  \n",
            "  inflating: ./data/data_train/train/pos/31608.txt  \n",
            "  inflating: ./data/data_train/train/pos/31609.txt  \n",
            "  inflating: ./data/data_train/train/pos/31610.txt  \n",
            "  inflating: ./data/data_train/train/pos/31615.txt  \n",
            "  inflating: ./data/data_train/train/pos/31618.txt  \n",
            "  inflating: ./data/data_train/train/pos/31619.txt  \n",
            "  inflating: ./data/data_train/train/pos/31621.txt  \n",
            "  inflating: ./data/data_train/train/pos/31622.txt  \n",
            "  inflating: ./data/data_train/train/pos/31624.txt  \n",
            "  inflating: ./data/data_train/train/pos/31628.txt  \n",
            "  inflating: ./data/data_train/train/pos/3163.txt  \n",
            "  inflating: ./data/data_train/train/pos/31630.txt  \n",
            "  inflating: ./data/data_train/train/pos/31631.txt  \n",
            "  inflating: ./data/data_train/train/pos/31633.txt  \n",
            "  inflating: ./data/data_train/train/pos/31636.txt  \n",
            "  inflating: ./data/data_train/train/pos/31640.txt  \n",
            " extracting: ./data/data_train/train/pos/31641.txt  \n",
            "  inflating: ./data/data_train/train/pos/31646.txt  \n",
            "  inflating: ./data/data_train/train/pos/31647.txt  \n",
            "  inflating: ./data/data_train/train/pos/31648.txt  \n",
            "  inflating: ./data/data_train/train/pos/31650.txt  \n",
            "  inflating: ./data/data_train/train/pos/31651.txt  \n",
            "  inflating: ./data/data_train/train/pos/31652.txt  \n",
            "  inflating: ./data/data_train/train/pos/31656.txt  \n",
            "  inflating: ./data/data_train/train/pos/3166.txt  \n",
            "  inflating: ./data/data_train/train/pos/31660.txt  \n",
            "  inflating: ./data/data_train/train/pos/31663.txt  \n",
            "  inflating: ./data/data_train/train/pos/31665.txt  \n",
            "  inflating: ./data/data_train/train/pos/31667.txt  \n",
            "  inflating: ./data/data_train/train/pos/3167.txt  \n",
            "  inflating: ./data/data_train/train/pos/31671.txt  \n",
            "  inflating: ./data/data_train/train/pos/31672.txt  \n",
            "  inflating: ./data/data_train/train/pos/31673.txt  \n",
            "  inflating: ./data/data_train/train/pos/31676.txt  \n",
            "  inflating: ./data/data_train/train/pos/31678.txt  \n",
            "  inflating: ./data/data_train/train/pos/31679.txt  \n",
            "  inflating: ./data/data_train/train/pos/3168.txt  \n",
            "  inflating: ./data/data_train/train/pos/31684.txt  \n",
            "  inflating: ./data/data_train/train/pos/31687.txt  \n",
            "  inflating: ./data/data_train/train/pos/31689.txt  \n",
            "  inflating: ./data/data_train/train/pos/31692.txt  \n",
            "  inflating: ./data/data_train/train/pos/31693.txt  \n",
            "  inflating: ./data/data_train/train/pos/31696.txt  \n",
            "  inflating: ./data/data_train/train/pos/317.txt  \n",
            "  inflating: ./data/data_train/train/pos/31702.txt  \n",
            "  inflating: ./data/data_train/train/pos/31703.txt  \n",
            "  inflating: ./data/data_train/train/pos/31705.txt  \n",
            "  inflating: ./data/data_train/train/pos/31706.txt  \n",
            "  inflating: ./data/data_train/train/pos/31710.txt  \n",
            "  inflating: ./data/data_train/train/pos/31711.txt  \n",
            "  inflating: ./data/data_train/train/pos/31716.txt  \n",
            "  inflating: ./data/data_train/train/pos/31717.txt  \n",
            "  inflating: ./data/data_train/train/pos/3172.txt  \n",
            "  inflating: ./data/data_train/train/pos/31727.txt  \n",
            "  inflating: ./data/data_train/train/pos/31729.txt  \n",
            "  inflating: ./data/data_train/train/pos/3173.txt  \n",
            "  inflating: ./data/data_train/train/pos/31730.txt  \n",
            "  inflating: ./data/data_train/train/pos/31737.txt  \n",
            "  inflating: ./data/data_train/train/pos/31738.txt  \n",
            "  inflating: ./data/data_train/train/pos/31741.txt  \n",
            "  inflating: ./data/data_train/train/pos/31743.txt  \n",
            "  inflating: ./data/data_train/train/pos/31745.txt  \n",
            "  inflating: ./data/data_train/train/pos/31747.txt  \n",
            "  inflating: ./data/data_train/train/pos/31748.txt  \n",
            "  inflating: ./data/data_train/train/pos/31749.txt  \n",
            "  inflating: ./data/data_train/train/pos/31750.txt  \n",
            "  inflating: ./data/data_train/train/pos/31752.txt  \n",
            "  inflating: ./data/data_train/train/pos/31755.txt  \n",
            "  inflating: ./data/data_train/train/pos/3176.txt  \n",
            "  inflating: ./data/data_train/train/pos/31762.txt  \n",
            "  inflating: ./data/data_train/train/pos/31766.txt  \n",
            "  inflating: ./data/data_train/train/pos/31771.txt  \n",
            "  inflating: ./data/data_train/train/pos/31774.txt  \n",
            "  inflating: ./data/data_train/train/pos/31779.txt  \n",
            "  inflating: ./data/data_train/train/pos/31782.txt  \n",
            "  inflating: ./data/data_train/train/pos/31783.txt  \n",
            "  inflating: ./data/data_train/train/pos/31784.txt  \n",
            "  inflating: ./data/data_train/train/pos/31785.txt  \n",
            "  inflating: ./data/data_train/train/pos/31786.txt  \n",
            "  inflating: ./data/data_train/train/pos/31787.txt  \n",
            "  inflating: ./data/data_train/train/pos/3179.txt  \n",
            "  inflating: ./data/data_train/train/pos/31791.txt  \n",
            "  inflating: ./data/data_train/train/pos/31796.txt  \n",
            "  inflating: ./data/data_train/train/pos/31801.txt  \n",
            "  inflating: ./data/data_train/train/pos/31804.txt  \n",
            "  inflating: ./data/data_train/train/pos/31805.txt  \n",
            "  inflating: ./data/data_train/train/pos/31806.txt  \n",
            "  inflating: ./data/data_train/train/pos/31808.txt  \n",
            "  inflating: ./data/data_train/train/pos/31809.txt  \n",
            "  inflating: ./data/data_train/train/pos/31811.txt  \n",
            "  inflating: ./data/data_train/train/pos/31812.txt  \n",
            "  inflating: ./data/data_train/train/pos/31813.txt  \n",
            "  inflating: ./data/data_train/train/pos/31816.txt  \n",
            "  inflating: ./data/data_train/train/pos/31817.txt  \n",
            "  inflating: ./data/data_train/train/pos/31819.txt  \n",
            "  inflating: ./data/data_train/train/pos/31822.txt  \n",
            "  inflating: ./data/data_train/train/pos/31824.txt  \n",
            "  inflating: ./data/data_train/train/pos/31825.txt  \n",
            "  inflating: ./data/data_train/train/pos/31830.txt  \n",
            "  inflating: ./data/data_train/train/pos/31831.txt  \n",
            "  inflating: ./data/data_train/train/pos/31833.txt  \n",
            "  inflating: ./data/data_train/train/pos/31834.txt  \n",
            "  inflating: ./data/data_train/train/pos/31838.txt  \n",
            "  inflating: ./data/data_train/train/pos/31839.txt  \n",
            "  inflating: ./data/data_train/train/pos/31844.txt  \n",
            "  inflating: ./data/data_train/train/pos/31847.txt  \n",
            "  inflating: ./data/data_train/train/pos/31850.txt  \n",
            "  inflating: ./data/data_train/train/pos/31851.txt  \n",
            "  inflating: ./data/data_train/train/pos/31854.txt  \n",
            "  inflating: ./data/data_train/train/pos/31855.txt  \n",
            "  inflating: ./data/data_train/train/pos/31858.txt  \n",
            "  inflating: ./data/data_train/train/pos/31859.txt  \n",
            "  inflating: ./data/data_train/train/pos/3186.txt  \n",
            "  inflating: ./data/data_train/train/pos/31863.txt  \n",
            "  inflating: ./data/data_train/train/pos/31866.txt  \n",
            "  inflating: ./data/data_train/train/pos/31871.txt  \n",
            "  inflating: ./data/data_train/train/pos/31874.txt  \n",
            "  inflating: ./data/data_train/train/pos/31876.txt  \n",
            "  inflating: ./data/data_train/train/pos/31877.txt  \n",
            "  inflating: ./data/data_train/train/pos/31879.txt  \n",
            "  inflating: ./data/data_train/train/pos/31882.txt  \n",
            "  inflating: ./data/data_train/train/pos/31888.txt  \n",
            "  inflating: ./data/data_train/train/pos/3189.txt  \n",
            "  inflating: ./data/data_train/train/pos/31890.txt  \n",
            "  inflating: ./data/data_train/train/pos/31894.txt  \n",
            "  inflating: ./data/data_train/train/pos/31895.txt  \n",
            "  inflating: ./data/data_train/train/pos/31896.txt  \n",
            "  inflating: ./data/data_train/train/pos/31898.txt  \n",
            "  inflating: ./data/data_train/train/pos/31899.txt  \n",
            "  inflating: ./data/data_train/train/pos/319.txt  \n",
            "  inflating: ./data/data_train/train/pos/3190.txt  \n",
            "  inflating: ./data/data_train/train/pos/31900.txt  \n",
            "  inflating: ./data/data_train/train/pos/31901.txt  \n",
            "  inflating: ./data/data_train/train/pos/3191.txt  \n",
            "  inflating: ./data/data_train/train/pos/31915.txt  \n",
            "  inflating: ./data/data_train/train/pos/31919.txt  \n",
            "  inflating: ./data/data_train/train/pos/31920.txt  \n",
            " extracting: ./data/data_train/train/pos/31921.txt  \n",
            "  inflating: ./data/data_train/train/pos/31924.txt  \n",
            "  inflating: ./data/data_train/train/pos/31926.txt  \n",
            "  inflating: ./data/data_train/train/pos/31930.txt  \n",
            "  inflating: ./data/data_train/train/pos/31932.txt  \n",
            "  inflating: ./data/data_train/train/pos/31933.txt  \n",
            "  inflating: ./data/data_train/train/pos/31935.txt  \n",
            "  inflating: ./data/data_train/train/pos/31938.txt  \n",
            "  inflating: ./data/data_train/train/pos/31942.txt  \n",
            "  inflating: ./data/data_train/train/pos/31943.txt  \n",
            "  inflating: ./data/data_train/train/pos/31945.txt  \n",
            "  inflating: ./data/data_train/train/pos/31946.txt  \n",
            "  inflating: ./data/data_train/train/pos/31952.txt  \n",
            "  inflating: ./data/data_train/train/pos/31953.txt  \n",
            "  inflating: ./data/data_train/train/pos/31956.txt  \n",
            "  inflating: ./data/data_train/train/pos/31960.txt  \n",
            "  inflating: ./data/data_train/train/pos/31963.txt  \n",
            " extracting: ./data/data_train/train/pos/31967.txt  \n",
            "  inflating: ./data/data_train/train/pos/3197.txt  \n",
            "  inflating: ./data/data_train/train/pos/31972.txt  \n",
            "  inflating: ./data/data_train/train/pos/31977.txt  \n",
            "  inflating: ./data/data_train/train/pos/31978.txt  \n",
            "  inflating: ./data/data_train/train/pos/3198.txt  \n",
            "  inflating: ./data/data_train/train/pos/31984.txt  \n",
            "  inflating: ./data/data_train/train/pos/3199.txt  \n",
            "  inflating: ./data/data_train/train/pos/31990.txt  \n",
            "  inflating: ./data/data_train/train/pos/31992.txt  \n",
            "  inflating: ./data/data_train/train/pos/31993.txt  \n",
            "  inflating: ./data/data_train/train/pos/31994.txt  \n",
            "  inflating: ./data/data_train/train/pos/31995.txt  \n",
            "  inflating: ./data/data_train/train/pos/31996.txt  \n",
            "  inflating: ./data/data_train/train/pos/31998.txt  \n",
            "  inflating: ./data/data_train/train/pos/32.txt  \n",
            "  inflating: ./data/data_train/train/pos/320.txt  \n",
            "  inflating: ./data/data_train/train/pos/3200.txt  \n",
            "  inflating: ./data/data_train/train/pos/32000.txt  \n",
            "  inflating: ./data/data_train/train/pos/32002.txt  \n",
            "  inflating: ./data/data_train/train/pos/32003.txt  \n",
            "  inflating: ./data/data_train/train/pos/32005.txt  \n",
            "  inflating: ./data/data_train/train/pos/32006.txt  \n",
            "  inflating: ./data/data_train/train/pos/32008.txt  \n",
            "  inflating: ./data/data_train/train/pos/32010.txt  \n",
            "  inflating: ./data/data_train/train/pos/32011.txt  \n",
            "  inflating: ./data/data_train/train/pos/32012.txt  \n",
            "  inflating: ./data/data_train/train/pos/32013.txt  \n",
            "  inflating: ./data/data_train/train/pos/32015.txt  \n",
            "  inflating: ./data/data_train/train/pos/32016.txt  \n",
            "  inflating: ./data/data_train/train/pos/32018.txt  \n",
            "  inflating: ./data/data_train/train/pos/32021.txt  \n",
            "  inflating: ./data/data_train/train/pos/32022.txt  \n",
            "  inflating: ./data/data_train/train/pos/32026.txt  \n",
            "  inflating: ./data/data_train/train/pos/32027.txt  \n",
            "  inflating: ./data/data_train/train/pos/3203.txt  \n",
            " extracting: ./data/data_train/train/pos/32031.txt  \n",
            "  inflating: ./data/data_train/train/pos/32033.txt  \n",
            "  inflating: ./data/data_train/train/pos/32035.txt  \n",
            " extracting: ./data/data_train/train/pos/32038.txt  \n",
            "  inflating: ./data/data_train/train/pos/3204.txt  \n",
            "  inflating: ./data/data_train/train/pos/32042.txt  \n",
            "  inflating: ./data/data_train/train/pos/32045.txt  \n",
            "  inflating: ./data/data_train/train/pos/32047.txt  \n",
            "  inflating: ./data/data_train/train/pos/32050.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32068.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32070.txt  \n",
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            "  inflating: ./data/data_train/train/pos/321.txt  \n",
            "  inflating: ./data/data_train/train/pos/3210.txt  \n",
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            " extracting: ./data/data_train/train/pos/32119.txt  \n",
            "  inflating: ./data/data_train/train/pos/32123.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32194.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32199.txt  \n",
            "  inflating: ./data/data_train/train/pos/3220.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32219.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32223.txt  \n",
            "  inflating: ./data/data_train/train/pos/32229.txt  \n",
            "  inflating: ./data/data_train/train/pos/3223.txt  \n",
            "  inflating: ./data/data_train/train/pos/32231.txt  \n",
            "  inflating: ./data/data_train/train/pos/32234.txt  \n",
            "  inflating: ./data/data_train/train/pos/32236.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3226.txt  \n",
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            " extracting: ./data/data_train/train/pos/32349.txt  \n",
            "  inflating: ./data/data_train/train/pos/3235.txt  \n",
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            " extracting: ./data/data_train/train/pos/32393.txt  \n",
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            " extracting: ./data/data_train/train/pos/32479.txt  \n",
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            " extracting: ./data/data_train/train/pos/3262.txt  \n",
            "  inflating: ./data/data_train/train/pos/32620.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32678.txt  \n",
            "  inflating: ./data/data_train/train/pos/32679.txt  \n",
            "  inflating: ./data/data_train/train/pos/3268.txt  \n",
            "  inflating: ./data/data_train/train/pos/32682.txt  \n",
            "  inflating: ./data/data_train/train/pos/32683.txt  \n",
            "  inflating: ./data/data_train/train/pos/32685.txt  \n",
            "  inflating: ./data/data_train/train/pos/3269.txt  \n",
            "  inflating: ./data/data_train/train/pos/32690.txt  \n",
            "  inflating: ./data/data_train/train/pos/32691.txt  \n",
            "  inflating: ./data/data_train/train/pos/32692.txt  \n",
            "  inflating: ./data/data_train/train/pos/32697.txt  \n",
            "  inflating: ./data/data_train/train/pos/32700.txt  \n",
            "  inflating: ./data/data_train/train/pos/32706.txt  \n",
            "  inflating: ./data/data_train/train/pos/3271.txt  \n",
            "  inflating: ./data/data_train/train/pos/32710.txt  \n",
            "  inflating: ./data/data_train/train/pos/32714.txt  \n",
            "  inflating: ./data/data_train/train/pos/32715.txt  \n",
            "  inflating: ./data/data_train/train/pos/32717.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32720.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32723.txt  \n",
            "  inflating: ./data/data_train/train/pos/32727.txt  \n",
            "  inflating: ./data/data_train/train/pos/32729.txt  \n",
            "  inflating: ./data/data_train/train/pos/3273.txt  \n",
            "  inflating: ./data/data_train/train/pos/32730.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32732.txt  \n",
            "  inflating: ./data/data_train/train/pos/32733.txt  \n",
            "  inflating: ./data/data_train/train/pos/32738.txt  \n",
            "  inflating: ./data/data_train/train/pos/32739.txt  \n",
            "  inflating: ./data/data_train/train/pos/3274.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32746.txt  \n",
            "  inflating: ./data/data_train/train/pos/32747.txt  \n",
            "  inflating: ./data/data_train/train/pos/3275.txt  \n",
            "  inflating: ./data/data_train/train/pos/32751.txt  \n",
            " extracting: ./data/data_train/train/pos/32758.txt  \n",
            "  inflating: ./data/data_train/train/pos/3276.txt  \n",
            "  inflating: ./data/data_train/train/pos/32760.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32766.txt  \n",
            "  inflating: ./data/data_train/train/pos/3277.txt  \n",
            "  inflating: ./data/data_train/train/pos/32770.txt  \n",
            " extracting: ./data/data_train/train/pos/32771.txt  \n",
            "  inflating: ./data/data_train/train/pos/32772.txt  \n",
            "  inflating: ./data/data_train/train/pos/32774.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32794.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3280.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32808.txt  \n",
            "  inflating: ./data/data_train/train/pos/3281.txt  \n",
            "  inflating: ./data/data_train/train/pos/32811.txt  \n",
            "  inflating: ./data/data_train/train/pos/32812.txt  \n",
            "  inflating: ./data/data_train/train/pos/32813.txt  \n",
            "  inflating: ./data/data_train/train/pos/32815.txt  \n",
            "  inflating: ./data/data_train/train/pos/32816.txt  \n",
            "  inflating: ./data/data_train/train/pos/32817.txt  \n",
            "  inflating: ./data/data_train/train/pos/32819.txt  \n",
            "  inflating: ./data/data_train/train/pos/32822.txt  \n",
            "  inflating: ./data/data_train/train/pos/32827.txt  \n",
            "  inflating: ./data/data_train/train/pos/32829.txt  \n",
            "  inflating: ./data/data_train/train/pos/3283.txt  \n",
            "  inflating: ./data/data_train/train/pos/32830.txt  \n",
            "  inflating: ./data/data_train/train/pos/32834.txt  \n",
            "  inflating: ./data/data_train/train/pos/32835.txt  \n",
            "  inflating: ./data/data_train/train/pos/32837.txt  \n",
            "  inflating: ./data/data_train/train/pos/32838.txt  \n",
            "  inflating: ./data/data_train/train/pos/32839.txt  \n",
            "  inflating: ./data/data_train/train/pos/32840.txt  \n",
            "  inflating: ./data/data_train/train/pos/32842.txt  \n",
            "  inflating: ./data/data_train/train/pos/32845.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32848.txt  \n",
            "  inflating: ./data/data_train/train/pos/32849.txt  \n",
            "  inflating: ./data/data_train/train/pos/3285.txt  \n",
            "  inflating: ./data/data_train/train/pos/32850.txt  \n",
            "  inflating: ./data/data_train/train/pos/32851.txt  \n",
            "  inflating: ./data/data_train/train/pos/32853.txt  \n",
            "  inflating: ./data/data_train/train/pos/32855.txt  \n",
            "  inflating: ./data/data_train/train/pos/32856.txt  \n",
            "  inflating: ./data/data_train/train/pos/32857.txt  \n",
            "  inflating: ./data/data_train/train/pos/32859.txt  \n",
            "  inflating: ./data/data_train/train/pos/32861.txt  \n",
            "  inflating: ./data/data_train/train/pos/32866.txt  \n",
            "  inflating: ./data/data_train/train/pos/32867.txt  \n",
            "  inflating: ./data/data_train/train/pos/32868.txt  \n",
            "  inflating: ./data/data_train/train/pos/32869.txt  \n",
            "  inflating: ./data/data_train/train/pos/32870.txt  \n",
            "  inflating: ./data/data_train/train/pos/32872.txt  \n",
            "  inflating: ./data/data_train/train/pos/32874.txt  \n",
            "  inflating: ./data/data_train/train/pos/32875.txt  \n",
            "  inflating: ./data/data_train/train/pos/32877.txt  \n",
            "  inflating: ./data/data_train/train/pos/32879.txt  \n",
            "  inflating: ./data/data_train/train/pos/32880.txt  \n",
            "  inflating: ./data/data_train/train/pos/32885.txt  \n",
            "  inflating: ./data/data_train/train/pos/32886.txt  \n",
            "  inflating: ./data/data_train/train/pos/3289.txt  \n",
            "  inflating: ./data/data_train/train/pos/32892.txt  \n",
            "  inflating: ./data/data_train/train/pos/32893.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32899.txt  \n",
            "  inflating: ./data/data_train/train/pos/32901.txt  \n",
            "  inflating: ./data/data_train/train/pos/32902.txt  \n",
            "  inflating: ./data/data_train/train/pos/32903.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3291.txt  \n",
            "  inflating: ./data/data_train/train/pos/32910.txt  \n",
            "  inflating: ./data/data_train/train/pos/32913.txt  \n",
            "  inflating: ./data/data_train/train/pos/32914.txt  \n",
            "  inflating: ./data/data_train/train/pos/32916.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32919.txt  \n",
            "  inflating: ./data/data_train/train/pos/3292.txt  \n",
            "  inflating: ./data/data_train/train/pos/32920.txt  \n",
            "  inflating: ./data/data_train/train/pos/32925.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32933.txt  \n",
            "  inflating: ./data/data_train/train/pos/32935.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32945.txt  \n",
            "  inflating: ./data/data_train/train/pos/32949.txt  \n",
            " extracting: ./data/data_train/train/pos/3295.txt  \n",
            "  inflating: ./data/data_train/train/pos/32954.txt  \n",
            "  inflating: ./data/data_train/train/pos/32955.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32960.txt  \n",
            "  inflating: ./data/data_train/train/pos/32962.txt  \n",
            "  inflating: ./data/data_train/train/pos/32963.txt  \n",
            "  inflating: ./data/data_train/train/pos/32964.txt  \n",
            "  inflating: ./data/data_train/train/pos/32966.txt  \n",
            "  inflating: ./data/data_train/train/pos/3297.txt  \n",
            "  inflating: ./data/data_train/train/pos/32971.txt  \n",
            "  inflating: ./data/data_train/train/pos/32975.txt  \n",
            "  inflating: ./data/data_train/train/pos/32976.txt  \n",
            " extracting: ./data/data_train/train/pos/32978.txt  \n",
            "  inflating: ./data/data_train/train/pos/3298.txt  \n",
            "  inflating: ./data/data_train/train/pos/32980.txt  \n",
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            "  inflating: ./data/data_train/train/pos/32991.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3300.txt  \n",
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            "  inflating: ./data/data_train/train/pos/33025.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3303.txt  \n",
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            "  inflating: ./data/data_train/train/pos/33055.txt  \n",
            "  inflating: ./data/data_train/train/pos/33056.txt  \n",
            " extracting: ./data/data_train/train/pos/33057.txt  \n",
            "  inflating: ./data/data_train/train/pos/33058.txt  \n",
            "  inflating: ./data/data_train/train/pos/33063.txt  \n",
            "  inflating: ./data/data_train/train/pos/33064.txt  \n",
            "  inflating: ./data/data_train/train/pos/33065.txt  \n",
            "  inflating: ./data/data_train/train/pos/33066.txt  \n",
            " extracting: ./data/data_train/train/pos/3307.txt  \n",
            "  inflating: ./data/data_train/train/pos/33070.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3313.txt  \n",
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            "  inflating: ./data/data_train/train/pos/332.txt  \n",
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            "  inflating: ./data/data_train/train/pos/33235.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3326.txt  \n",
            "  inflating: ./data/data_train/train/pos/33263.txt  \n",
            "  inflating: ./data/data_train/train/pos/33265.txt  \n",
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            " extracting: ./data/data_train/train/pos/33760.txt  \n",
            "  inflating: ./data/data_train/train/pos/33761.txt  \n",
            "  inflating: ./data/data_train/train/pos/33763.txt  \n",
            "  inflating: ./data/data_train/train/pos/33764.txt  \n",
            "  inflating: ./data/data_train/train/pos/33765.txt  \n",
            " extracting: ./data/data_train/train/pos/33767.txt  \n",
            "  inflating: ./data/data_train/train/pos/33769.txt  \n",
            "  inflating: ./data/data_train/train/pos/33778.txt  \n",
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            " extracting: ./data/data_train/train/pos/33792.txt  \n",
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            " extracting: ./data/data_train/train/pos/33887.txt  \n",
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            "  inflating: ./data/data_train/train/pos/33906.txt  \n",
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            " extracting: ./data/data_train/train/pos/33927.txt  \n",
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            " extracting: ./data/data_train/train/pos/34300.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34436.txt  \n",
            "  inflating: ./data/data_train/train/pos/34438.txt  \n",
            " extracting: ./data/data_train/train/pos/34440.txt  \n",
            "  inflating: ./data/data_train/train/pos/34442.txt  \n",
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            " extracting: ./data/data_train/train/pos/34452.txt  \n",
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            " extracting: ./data/data_train/train/pos/34579.txt  \n",
            " extracting: ./data/data_train/train/pos/34580.txt  \n",
            "  inflating: ./data/data_train/train/pos/34584.txt  \n",
            "  inflating: ./data/data_train/train/pos/34588.txt  \n",
            "  inflating: ./data/data_train/train/pos/34590.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34606.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3461.txt  \n",
            "  inflating: ./data/data_train/train/pos/34615.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34642.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34651.txt  \n",
            "  inflating: ./data/data_train/train/pos/34659.txt  \n",
            "  inflating: ./data/data_train/train/pos/3466.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34666.txt  \n",
            "  inflating: ./data/data_train/train/pos/34669.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34680.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34705.txt  \n",
            "  inflating: ./data/data_train/train/pos/34708.txt  \n",
            " extracting: ./data/data_train/train/pos/3471.txt  \n",
            "  inflating: ./data/data_train/train/pos/34710.txt  \n",
            "  inflating: ./data/data_train/train/pos/34713.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34731.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34735.txt  \n",
            "  inflating: ./data/data_train/train/pos/34736.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3475.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3476.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34767.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3477.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3480.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3481.txt  \n",
            "  inflating: ./data/data_train/train/pos/34810.txt  \n",
            "  inflating: ./data/data_train/train/pos/34812.txt  \n",
            "  inflating: ./data/data_train/train/pos/34813.txt  \n",
            "  inflating: ./data/data_train/train/pos/34817.txt  \n",
            "  inflating: ./data/data_train/train/pos/3482.txt  \n",
            "  inflating: ./data/data_train/train/pos/34820.txt  \n",
            " extracting: ./data/data_train/train/pos/34821.txt  \n",
            "  inflating: ./data/data_train/train/pos/34825.txt  \n",
            "  inflating: ./data/data_train/train/pos/34827.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34835.txt  \n",
            "  inflating: ./data/data_train/train/pos/34837.txt  \n",
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            "  inflating: ./data/data_train/train/pos/34922.txt  \n",
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            " extracting: ./data/data_train/train/pos/3499.txt  \n",
            "  inflating: ./data/data_train/train/pos/34990.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35.txt  \n",
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            " extracting: ./data/data_train/train/pos/35016.txt  \n",
            "  inflating: ./data/data_train/train/pos/3502.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3510.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35225.txt  \n",
            "  inflating: ./data/data_train/train/pos/35228.txt  \n",
            "  inflating: ./data/data_train/train/pos/35229.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35244.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35255.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35289.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3530.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35313.txt  \n",
            " extracting: ./data/data_train/train/pos/35315.txt  \n",
            "  inflating: ./data/data_train/train/pos/35316.txt  \n",
            "  inflating: ./data/data_train/train/pos/35321.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35328.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35333.txt  \n",
            "  inflating: ./data/data_train/train/pos/35346.txt  \n",
            "  inflating: ./data/data_train/train/pos/35349.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35351.txt  \n",
            "  inflating: ./data/data_train/train/pos/35352.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35358.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3536.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3538.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35384.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3539.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35399.txt  \n",
            "  inflating: ./data/data_train/train/pos/354.txt  \n",
            "  inflating: ./data/data_train/train/pos/3540.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3541.txt  \n",
            "  inflating: ./data/data_train/train/pos/35411.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35415.txt  \n",
            "  inflating: ./data/data_train/train/pos/35419.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35423.txt  \n",
            "  inflating: ./data/data_train/train/pos/35424.txt  \n",
            "  inflating: ./data/data_train/train/pos/35425.txt  \n",
            "  inflating: ./data/data_train/train/pos/35426.txt  \n",
            "  inflating: ./data/data_train/train/pos/35437.txt  \n",
            "  inflating: ./data/data_train/train/pos/35438.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35442.txt  \n",
            "  inflating: ./data/data_train/train/pos/35443.txt  \n",
            "  inflating: ./data/data_train/train/pos/35444.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35446.txt  \n",
            "  inflating: ./data/data_train/train/pos/35447.txt  \n",
            "  inflating: ./data/data_train/train/pos/35449.txt  \n",
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            "  inflating: ./data/data_train/train/pos/35454.txt  \n",
            "  inflating: ./data/data_train/train/pos/35455.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3546.txt  \n",
            "  inflating: ./data/data_train/train/pos/35462.txt  \n",
            "  inflating: ./data/data_train/train/pos/35464.txt  \n",
            "  inflating: ./data/data_train/train/pos/35466.txt  \n",
            "  inflating: ./data/data_train/train/pos/35468.txt  \n",
            "  inflating: ./data/data_train/train/pos/35469.txt  \n",
            "  inflating: ./data/data_train/train/pos/3547.txt  \n",
            "  inflating: ./data/data_train/train/pos/35470.txt  \n",
            "  inflating: ./data/data_train/train/pos/35474.txt  \n",
            "  inflating: ./data/data_train/train/pos/3548.txt  \n",
            "  inflating: ./data/data_train/train/pos/3550.txt  \n",
            "  inflating: ./data/data_train/train/pos/3553.txt  \n",
            "  inflating: ./data/data_train/train/pos/3558.txt  \n",
            "  inflating: ./data/data_train/train/pos/3559.txt  \n",
            " extracting: ./data/data_train/train/pos/3562.txt  \n",
            "  inflating: ./data/data_train/train/pos/3564.txt  \n",
            "  inflating: ./data/data_train/train/pos/3569.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3604.txt  \n",
            "  inflating: ./data/data_train/train/pos/3605.txt  \n",
            "  inflating: ./data/data_train/train/pos/3606.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3610.txt  \n",
            "  inflating: ./data/data_train/train/pos/3611.txt  \n",
            "  inflating: ./data/data_train/train/pos/3613.txt  \n",
            " extracting: ./data/data_train/train/pos/3622.txt  \n",
            "  inflating: ./data/data_train/train/pos/3623.txt  \n",
            "  inflating: ./data/data_train/train/pos/3625.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3642.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3656.txt  \n",
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            "  inflating: ./data/data_train/train/pos/37.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3732.txt  \n",
            "  inflating: ./data/data_train/train/pos/3733.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3741.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3749.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3776.txt  \n",
            "  inflating: ./data/data_train/train/pos/3779.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3790.txt  \n",
            "  inflating: ./data/data_train/train/pos/3793.txt  \n",
            "  inflating: ./data/data_train/train/pos/38.txt  \n",
            "  inflating: ./data/data_train/train/pos/3801.txt  \n",
            "  inflating: ./data/data_train/train/pos/3802.txt  \n",
            "  inflating: ./data/data_train/train/pos/3805.txt  \n",
            "  inflating: ./data/data_train/train/pos/3806.txt  \n",
            "  inflating: ./data/data_train/train/pos/3808.txt  \n",
            "  inflating: ./data/data_train/train/pos/381.txt  \n",
            "  inflating: ./data/data_train/train/pos/3810.txt  \n",
            "  inflating: ./data/data_train/train/pos/3811.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3830.txt  \n",
            "  inflating: ./data/data_train/train/pos/3831.txt  \n",
            "  inflating: ./data/data_train/train/pos/3833.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3838.txt  \n",
            "  inflating: ./data/data_train/train/pos/3839.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3848.txt  \n",
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            "  inflating: ./data/data_train/train/pos/3850.txt  \n",
            "  inflating: ./data/data_train/train/pos/3851.txt  \n",
            "  inflating: ./data/data_train/train/pos/3858.txt  \n",
            "  inflating: ./data/data_train/train/pos/3859.txt  \n",
            "  inflating: ./data/data_train/train/pos/3863.txt  \n",
            "  inflating: ./data/data_train/train/pos/3864.txt  \n",
            "  inflating: ./data/data_train/train/pos/3865.txt  \n",
            "  inflating: ./data/data_train/train/pos/3866.txt  \n",
            "  inflating: ./data/data_train/train/pos/3867.txt  \n",
            "  inflating: ./data/data_train/train/pos/3869.txt  \n",
            "  inflating: ./data/data_train/train/pos/3870.txt  \n",
            "  inflating: ./data/data_train/train/pos/3872.txt  \n",
            "  inflating: ./data/data_train/train/pos/3873.txt  \n",
            "  inflating: ./data/data_train/train/pos/3875.txt  \n",
            "  inflating: ./data/data_train/train/pos/3878.txt  \n",
            "  inflating: ./data/data_train/train/pos/3879.txt  \n",
            "  inflating: ./data/data_train/train/pos/3880.txt  \n",
            "  inflating: ./data/data_train/train/pos/3883.txt  \n",
            "  inflating: ./data/data_train/train/pos/3884.txt  \n",
            "  inflating: ./data/data_train/train/pos/3893.txt  \n",
            "  inflating: ./data/data_train/train/pos/3895.txt  \n",
            "  inflating: ./data/data_train/train/pos/3898.txt  \n",
            "  inflating: ./data/data_train/train/pos/3902.txt  \n",
            "  inflating: ./data/data_train/train/pos/3903.txt  \n",
            "  inflating: ./data/data_train/train/pos/3904.txt  \n",
            "  inflating: ./data/data_train/train/pos/3907.txt  \n",
            "  inflating: ./data/data_train/train/pos/3909.txt  \n",
            "  inflating: ./data/data_train/train/pos/391.txt  \n",
            "  inflating: ./data/data_train/train/pos/3914.txt  \n",
            "  inflating: ./data/data_train/train/pos/3916.txt  \n",
            "  inflating: ./data/data_train/train/pos/3918.txt  \n",
            "  inflating: ./data/data_train/train/pos/3924.txt  \n",
            "  inflating: ./data/data_train/train/pos/3925.txt  \n",
            "  inflating: ./data/data_train/train/pos/3926.txt  \n",
            "  inflating: ./data/data_train/train/pos/3927.txt  \n",
            "  inflating: ./data/data_train/train/pos/393.txt  \n",
            "  inflating: ./data/data_train/train/pos/3930.txt  \n",
            "  inflating: ./data/data_train/train/pos/3938.txt  \n",
            "  inflating: ./data/data_train/train/pos/3939.txt  \n",
            "  inflating: ./data/data_train/train/pos/3941.txt  \n",
            " extracting: ./data/data_train/train/pos/3942.txt  \n",
            "  inflating: ./data/data_train/train/pos/3945.txt  \n",
            "  inflating: ./data/data_train/train/pos/3946.txt  \n",
            "  inflating: ./data/data_train/train/pos/3947.txt  \n",
            "  inflating: ./data/data_train/train/pos/3948.txt  \n",
            " extracting: ./data/data_train/train/pos/3949.txt  \n",
            "  inflating: ./data/data_train/train/pos/395.txt  \n",
            "  inflating: ./data/data_train/train/pos/3954.txt  \n",
            "  inflating: ./data/data_train/train/pos/3956.txt  \n",
            "  inflating: ./data/data_train/train/pos/3958.txt  \n",
            "  inflating: ./data/data_train/train/pos/396.txt  \n",
            "  inflating: ./data/data_train/train/pos/3961.txt  \n",
            "  inflating: ./data/data_train/train/pos/3963.txt  \n",
            "  inflating: ./data/data_train/train/pos/3967.txt  \n",
            "  inflating: ./data/data_train/train/pos/397.txt  \n",
            "  inflating: ./data/data_train/train/pos/3973.txt  \n",
            "  inflating: ./data/data_train/train/pos/3975.txt  \n",
            "  inflating: ./data/data_train/train/pos/3976.txt  \n",
            "  inflating: ./data/data_train/train/pos/3979.txt  \n",
            "  inflating: ./data/data_train/train/pos/398.txt  \n",
            "  inflating: ./data/data_train/train/pos/3984.txt  \n",
            "  inflating: ./data/data_train/train/pos/3985.txt  \n",
            "  inflating: ./data/data_train/train/pos/3986.txt  \n",
            "  inflating: ./data/data_train/train/pos/3989.txt  \n",
            "  inflating: ./data/data_train/train/pos/3990.txt  \n",
            "  inflating: ./data/data_train/train/pos/3992.txt  \n",
            "  inflating: ./data/data_train/train/pos/3993.txt  \n",
            "  inflating: ./data/data_train/train/pos/3994.txt  \n",
            "  inflating: ./data/data_train/train/pos/40.txt  \n",
            "  inflating: ./data/data_train/train/pos/4002.txt  \n",
            "  inflating: ./data/data_train/train/pos/4005.txt  \n",
            "  inflating: ./data/data_train/train/pos/4007.txt  \n",
            "  inflating: ./data/data_train/train/pos/401.txt  \n",
            "  inflating: ./data/data_train/train/pos/4011.txt  \n",
            " extracting: ./data/data_train/train/pos/4013.txt  \n",
            "  inflating: ./data/data_train/train/pos/4014.txt  \n",
            "  inflating: ./data/data_train/train/pos/4016.txt  \n",
            "  inflating: ./data/data_train/train/pos/4018.txt  \n",
            "  inflating: ./data/data_train/train/pos/4020.txt  \n",
            "  inflating: ./data/data_train/train/pos/4022.txt  \n",
            "  inflating: ./data/data_train/train/pos/4023.txt  \n",
            "  inflating: ./data/data_train/train/pos/4024.txt  \n",
            "  inflating: ./data/data_train/train/pos/4025.txt  \n",
            "  inflating: ./data/data_train/train/pos/4027.txt  \n",
            "  inflating: ./data/data_train/train/pos/4028.txt  \n",
            "  inflating: ./data/data_train/train/pos/4029.txt  \n",
            "  inflating: ./data/data_train/train/pos/403.txt  \n",
            "  inflating: ./data/data_train/train/pos/4030.txt  \n",
            "  inflating: ./data/data_train/train/pos/4033.txt  \n",
            "  inflating: ./data/data_train/train/pos/4034.txt  \n",
            "  inflating: ./data/data_train/train/pos/4037.txt  \n",
            "  inflating: ./data/data_train/train/pos/4038.txt  \n",
            "  inflating: ./data/data_train/train/pos/4039.txt  \n",
            "  inflating: ./data/data_train/train/pos/4040.txt  \n",
            "  inflating: ./data/data_train/train/pos/4041.txt  \n",
            "  inflating: ./data/data_train/train/pos/4048.txt  \n",
            "  inflating: ./data/data_train/train/pos/4049.txt  \n",
            "  inflating: ./data/data_train/train/pos/405.txt  \n",
            "  inflating: ./data/data_train/train/pos/4050.txt  \n",
            "  inflating: ./data/data_train/train/pos/4054.txt  \n",
            "  inflating: ./data/data_train/train/pos/4055.txt  \n",
            "  inflating: ./data/data_train/train/pos/4056.txt  \n",
            "  inflating: ./data/data_train/train/pos/4057.txt  \n",
            "  inflating: ./data/data_train/train/pos/4059.txt  \n",
            "  inflating: ./data/data_train/train/pos/4069.txt  \n",
            "  inflating: ./data/data_train/train/pos/407.txt  \n",
            "  inflating: ./data/data_train/train/pos/4070.txt  \n",
            "  inflating: ./data/data_train/train/pos/4074.txt  \n",
            "  inflating: ./data/data_train/train/pos/4077.txt  \n",
            "  inflating: ./data/data_train/train/pos/4078.txt  \n",
            "  inflating: ./data/data_train/train/pos/4079.txt  \n",
            "  inflating: ./data/data_train/train/pos/4081.txt  \n",
            "  inflating: ./data/data_train/train/pos/4084.txt  \n",
            "  inflating: ./data/data_train/train/pos/4085.txt  \n",
            "  inflating: ./data/data_train/train/pos/4086.txt  \n",
            "  inflating: ./data/data_train/train/pos/4090.txt  \n",
            " extracting: ./data/data_train/train/pos/4095.txt  \n",
            "  inflating: ./data/data_train/train/pos/4096.txt  \n",
            "  inflating: ./data/data_train/train/pos/4099.txt  \n",
            "  inflating: ./data/data_train/train/pos/4101.txt  \n",
            "  inflating: ./data/data_train/train/pos/4102.txt  \n",
            "  inflating: ./data/data_train/train/pos/4104.txt  \n",
            "  inflating: ./data/data_train/train/pos/411.txt  \n",
            "  inflating: ./data/data_train/train/pos/4110.txt  \n",
            "  inflating: ./data/data_train/train/pos/4111.txt  \n",
            "  inflating: ./data/data_train/train/pos/4114.txt  \n",
            "  inflating: ./data/data_train/train/pos/4117.txt  \n",
            "  inflating: ./data/data_train/train/pos/4119.txt  \n",
            "  inflating: ./data/data_train/train/pos/4120.txt  \n",
            "  inflating: ./data/data_train/train/pos/4125.txt  \n",
            "  inflating: ./data/data_train/train/pos/4126.txt  \n",
            "  inflating: ./data/data_train/train/pos/4128.txt  \n",
            "  inflating: ./data/data_train/train/pos/4129.txt  \n",
            "  inflating: ./data/data_train/train/pos/4130.txt  \n",
            "  inflating: ./data/data_train/train/pos/4131.txt  \n",
            "  inflating: ./data/data_train/train/pos/4132.txt  \n",
            "  inflating: ./data/data_train/train/pos/4134.txt  \n",
            "  inflating: ./data/data_train/train/pos/4136.txt  \n",
            "  inflating: ./data/data_train/train/pos/4139.txt  \n",
            "  inflating: ./data/data_train/train/pos/414.txt  \n",
            "  inflating: ./data/data_train/train/pos/4144.txt  \n",
            "  inflating: ./data/data_train/train/pos/4145.txt  \n",
            "  inflating: ./data/data_train/train/pos/4146.txt  \n",
            "  inflating: ./data/data_train/train/pos/4149.txt  \n",
            "  inflating: ./data/data_train/train/pos/415.txt  \n",
            "  inflating: ./data/data_train/train/pos/4150.txt  \n",
            "  inflating: ./data/data_train/train/pos/4153.txt  \n",
            " extracting: ./data/data_train/train/pos/4154.txt  \n",
            "  inflating: ./data/data_train/train/pos/4155.txt  \n",
            "  inflating: ./data/data_train/train/pos/4158.txt  \n",
            "  inflating: ./data/data_train/train/pos/4159.txt  \n",
            "  inflating: ./data/data_train/train/pos/416.txt  \n",
            "  inflating: ./data/data_train/train/pos/4160.txt  \n",
            "  inflating: ./data/data_train/train/pos/4162.txt  \n",
            "  inflating: ./data/data_train/train/pos/4164.txt  \n",
            "  inflating: ./data/data_train/train/pos/4165.txt  \n",
            "  inflating: ./data/data_train/train/pos/4166.txt  \n",
            "  inflating: ./data/data_train/train/pos/4167.txt  \n",
            "  inflating: ./data/data_train/train/pos/4168.txt  \n",
            "  inflating: ./data/data_train/train/pos/4171.txt  \n",
            "  inflating: ./data/data_train/train/pos/4172.txt  \n",
            "  inflating: ./data/data_train/train/pos/4173.txt  \n",
            "  inflating: ./data/data_train/train/pos/4174.txt  \n",
            "  inflating: ./data/data_train/train/pos/4176.txt  \n",
            "  inflating: ./data/data_train/train/pos/4182.txt  \n",
            "  inflating: ./data/data_train/train/pos/4183.txt  \n",
            "  inflating: ./data/data_train/train/pos/4184.txt  \n",
            "  inflating: ./data/data_train/train/pos/4185.txt  \n",
            "  inflating: ./data/data_train/train/pos/4186.txt  \n",
            "  inflating: ./data/data_train/train/pos/4188.txt  \n",
            "  inflating: ./data/data_train/train/pos/4189.txt  \n",
            "  inflating: ./data/data_train/train/pos/419.txt  \n",
            "  inflating: ./data/data_train/train/pos/4195.txt  \n",
            "  inflating: ./data/data_train/train/pos/4197.txt  \n",
            "  inflating: ./data/data_train/train/pos/4199.txt  \n",
            "  inflating: ./data/data_train/train/pos/420.txt  \n",
            "  inflating: ./data/data_train/train/pos/4200.txt  \n",
            "  inflating: ./data/data_train/train/pos/4205.txt  \n",
            "  inflating: ./data/data_train/train/pos/4210.txt  \n",
            "  inflating: ./data/data_train/train/pos/4217.txt  \n",
            "  inflating: ./data/data_train/train/pos/4218.txt  \n",
            "  inflating: ./data/data_train/train/pos/4220.txt  \n",
            "  inflating: ./data/data_train/train/pos/4222.txt  \n",
            "  inflating: ./data/data_train/train/pos/4226.txt  \n",
            "  inflating: ./data/data_train/train/pos/4227.txt  \n",
            "  inflating: ./data/data_train/train/pos/4228.txt  \n",
            "  inflating: ./data/data_train/train/pos/4234.txt  \n",
            "  inflating: ./data/data_train/train/pos/4236.txt  \n",
            "  inflating: ./data/data_train/train/pos/4237.txt  \n",
            "  inflating: ./data/data_train/train/pos/4239.txt  \n",
            "  inflating: ./data/data_train/train/pos/4241.txt  \n",
            "  inflating: ./data/data_train/train/pos/4242.txt  \n",
            "  inflating: ./data/data_train/train/pos/4243.txt  \n",
            "  inflating: ./data/data_train/train/pos/4246.txt  \n",
            "  inflating: ./data/data_train/train/pos/4248.txt  \n",
            "  inflating: ./data/data_train/train/pos/425.txt  \n",
            "  inflating: ./data/data_train/train/pos/4250.txt  \n",
            "  inflating: ./data/data_train/train/pos/4251.txt  \n",
            "  inflating: ./data/data_train/train/pos/4253.txt  \n",
            "  inflating: ./data/data_train/train/pos/4255.txt  \n",
            "  inflating: ./data/data_train/train/pos/4256.txt  \n",
            "  inflating: ./data/data_train/train/pos/4258.txt  \n",
            "  inflating: ./data/data_train/train/pos/4261.txt  \n",
            "  inflating: ./data/data_train/train/pos/4262.txt  \n",
            "  inflating: ./data/data_train/train/pos/4265.txt  \n",
            "  inflating: ./data/data_train/train/pos/4267.txt  \n",
            "  inflating: ./data/data_train/train/pos/4269.txt  \n",
            "  inflating: ./data/data_train/train/pos/427.txt  \n",
            "  inflating: ./data/data_train/train/pos/4270.txt  \n",
            "  inflating: ./data/data_train/train/pos/4271.txt  \n",
            "  inflating: ./data/data_train/train/pos/4276.txt  \n",
            "  inflating: ./data/data_train/train/pos/428.txt  \n",
            "  inflating: ./data/data_train/train/pos/4280.txt  \n",
            "  inflating: ./data/data_train/train/pos/4282.txt  \n",
            "  inflating: ./data/data_train/train/pos/4285.txt  \n",
            "  inflating: ./data/data_train/train/pos/4286.txt  \n",
            "  inflating: ./data/data_train/train/pos/4287.txt  \n",
            "  inflating: ./data/data_train/train/pos/4288.txt  \n",
            "  inflating: ./data/data_train/train/pos/4289.txt  \n",
            "  inflating: ./data/data_train/train/pos/4294.txt  \n",
            "  inflating: ./data/data_train/train/pos/4295.txt  \n",
            "  inflating: ./data/data_train/train/pos/4296.txt  \n",
            "  inflating: ./data/data_train/train/pos/4299.txt  \n",
            "  inflating: ./data/data_train/train/pos/4306.txt  \n",
            "  inflating: ./data/data_train/train/pos/4307.txt  \n",
            "  inflating: ./data/data_train/train/pos/4309.txt  \n",
            "  inflating: ./data/data_train/train/pos/4312.txt  \n",
            "  inflating: ./data/data_train/train/pos/4314.txt  \n",
            "  inflating: ./data/data_train/train/pos/432.txt  \n",
            "  inflating: ./data/data_train/train/pos/4320.txt  \n",
            "  inflating: ./data/data_train/train/pos/4321.txt  \n",
            "  inflating: ./data/data_train/train/pos/4322.txt  \n",
            "  inflating: ./data/data_train/train/pos/4323.txt  \n",
            "  inflating: ./data/data_train/train/pos/4324.txt  \n",
            "  inflating: ./data/data_train/train/pos/4325.txt  \n",
            "  inflating: ./data/data_train/train/pos/4328.txt  \n",
            "  inflating: ./data/data_train/train/pos/4329.txt  \n",
            "  inflating: ./data/data_train/train/pos/4330.txt  \n",
            "  inflating: ./data/data_train/train/pos/4334.txt  \n",
            "  inflating: ./data/data_train/train/pos/4341.txt  \n",
            "  inflating: ./data/data_train/train/pos/4342.txt  \n",
            "  inflating: ./data/data_train/train/pos/4343.txt  \n",
            "  inflating: ./data/data_train/train/pos/4344.txt  \n",
            "  inflating: ./data/data_train/train/pos/4345.txt  \n",
            "  inflating: ./data/data_train/train/pos/435.txt  \n",
            "  inflating: ./data/data_train/train/pos/4352.txt  \n",
            "  inflating: ./data/data_train/train/pos/4353.txt  \n",
            "  inflating: ./data/data_train/train/pos/4356.txt  \n",
            "  inflating: ./data/data_train/train/pos/4358.txt  \n",
            "  inflating: ./data/data_train/train/pos/4359.txt  \n",
            "  inflating: ./data/data_train/train/pos/436.txt  \n",
            "  inflating: ./data/data_train/train/pos/4360.txt  \n",
            "  inflating: ./data/data_train/train/pos/4362.txt  \n",
            "  inflating: ./data/data_train/train/pos/4363.txt  \n",
            "  inflating: ./data/data_train/train/pos/4367.txt  \n",
            "  inflating: ./data/data_train/train/pos/4368.txt  \n",
            "  inflating: ./data/data_train/train/pos/4372.txt  \n",
            "  inflating: ./data/data_train/train/pos/4377.txt  \n",
            "  inflating: ./data/data_train/train/pos/438.txt  \n",
            "  inflating: ./data/data_train/train/pos/4380.txt  \n",
            "  inflating: ./data/data_train/train/pos/4381.txt  \n",
            "  inflating: ./data/data_train/train/pos/4385.txt  \n",
            "  inflating: ./data/data_train/train/pos/4398.txt  \n",
            "  inflating: ./data/data_train/train/pos/44.txt  \n",
            "  inflating: ./data/data_train/train/pos/4400.txt  \n",
            "  inflating: ./data/data_train/train/pos/4401.txt  \n",
            "  inflating: ./data/data_train/train/pos/4403.txt  \n",
            "  inflating: ./data/data_train/train/pos/4406.txt  \n",
            "  inflating: ./data/data_train/train/pos/4408.txt  \n",
            "  inflating: ./data/data_train/train/pos/4410.txt  \n",
            "  inflating: ./data/data_train/train/pos/4412.txt  \n",
            "  inflating: ./data/data_train/train/pos/4413.txt  \n",
            "  inflating: ./data/data_train/train/pos/4414.txt  \n",
            "  inflating: ./data/data_train/train/pos/4415.txt  \n",
            "  inflating: ./data/data_train/train/pos/4417.txt  \n",
            "  inflating: ./data/data_train/train/pos/4419.txt  \n",
            "  inflating: ./data/data_train/train/pos/4423.txt  \n",
            "  inflating: ./data/data_train/train/pos/4424.txt  \n",
            "  inflating: ./data/data_train/train/pos/4425.txt  \n",
            "  inflating: ./data/data_train/train/pos/4427.txt  \n",
            "  inflating: ./data/data_train/train/pos/4428.txt  \n",
            "  inflating: ./data/data_train/train/pos/4429.txt  \n",
            "  inflating: ./data/data_train/train/pos/4430.txt  \n",
            "  inflating: ./data/data_train/train/pos/4431.txt  \n",
            "  inflating: ./data/data_train/train/pos/4434.txt  \n",
            "  inflating: ./data/data_train/train/pos/4437.txt  \n",
            "  inflating: ./data/data_train/train/pos/4438.txt  \n",
            "  inflating: ./data/data_train/train/pos/4439.txt  \n",
            "  inflating: ./data/data_train/train/pos/4442.txt  \n",
            "  inflating: ./data/data_train/train/pos/4444.txt  \n",
            "  inflating: ./data/data_train/train/pos/4445.txt  \n",
            "  inflating: ./data/data_train/train/pos/4448.txt  \n",
            "  inflating: ./data/data_train/train/pos/4449.txt  \n",
            "  inflating: ./data/data_train/train/pos/445.txt  \n",
            "  inflating: ./data/data_train/train/pos/4450.txt  \n",
            "  inflating: ./data/data_train/train/pos/4451.txt  \n",
            "  inflating: ./data/data_train/train/pos/4453.txt  \n",
            "  inflating: ./data/data_train/train/pos/4454.txt  \n",
            "  inflating: ./data/data_train/train/pos/4456.txt  \n",
            "  inflating: ./data/data_train/train/pos/4458.txt  \n",
            "  inflating: ./data/data_train/train/pos/4459.txt  \n",
            "  inflating: ./data/data_train/train/pos/4463.txt  \n",
            "  inflating: ./data/data_train/train/pos/4464.txt  \n",
            "  inflating: ./data/data_train/train/pos/4466.txt  \n",
            "  inflating: ./data/data_train/train/pos/4467.txt  \n",
            "  inflating: ./data/data_train/train/pos/4469.txt  \n",
            "  inflating: ./data/data_train/train/pos/4471.txt  \n",
            "  inflating: ./data/data_train/train/pos/4473.txt  \n",
            "  inflating: ./data/data_train/train/pos/4476.txt  \n",
            "  inflating: ./data/data_train/train/pos/4479.txt  \n",
            "  inflating: ./data/data_train/train/pos/4482.txt  \n",
            "  inflating: ./data/data_train/train/pos/4484.txt  \n",
            "  inflating: ./data/data_train/train/pos/4486.txt  \n",
            "  inflating: ./data/data_train/train/pos/4490.txt  \n",
            "  inflating: ./data/data_train/train/pos/4492.txt  \n",
            "  inflating: ./data/data_train/train/pos/4493.txt  \n",
            "  inflating: ./data/data_train/train/pos/4495.txt  \n",
            "  inflating: ./data/data_train/train/pos/4498.txt  \n",
            "  inflating: ./data/data_train/train/pos/4500.txt  \n",
            "  inflating: ./data/data_train/train/pos/4502.txt  \n",
            "  inflating: ./data/data_train/train/pos/4505.txt  \n",
            "  inflating: ./data/data_train/train/pos/4506.txt  \n",
            " extracting: ./data/data_train/train/pos/4507.txt  \n",
            "  inflating: ./data/data_train/train/pos/451.txt  \n",
            "  inflating: ./data/data_train/train/pos/4510.txt  \n",
            "  inflating: ./data/data_train/train/pos/4511.txt  \n",
            "  inflating: ./data/data_train/train/pos/4514.txt  \n",
            "  inflating: ./data/data_train/train/pos/4518.txt  \n",
            "  inflating: ./data/data_train/train/pos/4519.txt  \n",
            "  inflating: ./data/data_train/train/pos/4520.txt  \n",
            "  inflating: ./data/data_train/train/pos/4525.txt  \n",
            " extracting: ./data/data_train/train/pos/4526.txt  \n",
            "  inflating: ./data/data_train/train/pos/4529.txt  \n",
            "  inflating: ./data/data_train/train/pos/4530.txt  \n",
            "  inflating: ./data/data_train/train/pos/4532.txt  \n",
            "  inflating: ./data/data_train/train/pos/4533.txt  \n",
            "  inflating: ./data/data_train/train/pos/4536.txt  \n",
            "  inflating: ./data/data_train/train/pos/4538.txt  \n",
            "  inflating: ./data/data_train/train/pos/4539.txt  \n",
            "  inflating: ./data/data_train/train/pos/4542.txt  \n",
            "  inflating: ./data/data_train/train/pos/4545.txt  \n",
            "  inflating: ./data/data_train/train/pos/4552.txt  \n",
            "  inflating: ./data/data_train/train/pos/4553.txt  \n",
            "  inflating: ./data/data_train/train/pos/4554.txt  \n",
            "  inflating: ./data/data_train/train/pos/4556.txt  \n",
            "  inflating: ./data/data_train/train/pos/4558.txt  \n",
            "  inflating: ./data/data_train/train/pos/456.txt  \n",
            "  inflating: ./data/data_train/train/pos/4560.txt  \n",
            "  inflating: ./data/data_train/train/pos/4561.txt  \n",
            " extracting: ./data/data_train/train/pos/4563.txt  \n",
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            " extracting: ./data/data_train/train/pos/4882.txt  \n",
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            " extracting: ./data/data_train/train/pos/4997.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5874.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5882.txt  \n",
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            "  inflating: ./data/data_train/train/pos/59.txt  \n",
            "  inflating: ./data/data_train/train/pos/5903.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5913.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5921.txt  \n",
            "  inflating: ./data/data_train/train/pos/5922.txt  \n",
            "  inflating: ./data/data_train/train/pos/5923.txt  \n",
            " extracting: ./data/data_train/train/pos/5925.txt  \n",
            "  inflating: ./data/data_train/train/pos/5926.txt  \n",
            "  inflating: ./data/data_train/train/pos/5929.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5931.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5934.txt  \n",
            "  inflating: ./data/data_train/train/pos/5935.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5938.txt  \n",
            "  inflating: ./data/data_train/train/pos/5949.txt  \n",
            "  inflating: ./data/data_train/train/pos/5954.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5958.txt  \n",
            "  inflating: ./data/data_train/train/pos/5959.txt  \n",
            "  inflating: ./data/data_train/train/pos/5961.txt  \n",
            "  inflating: ./data/data_train/train/pos/5963.txt  \n",
            "  inflating: ./data/data_train/train/pos/5965.txt  \n",
            "  inflating: ./data/data_train/train/pos/597.txt  \n",
            "  inflating: ./data/data_train/train/pos/5973.txt  \n",
            "  inflating: ./data/data_train/train/pos/5975.txt  \n",
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            "  inflating: ./data/data_train/train/pos/5978.txt  \n",
            "  inflating: ./data/data_train/train/pos/5979.txt  \n",
            "  inflating: ./data/data_train/train/pos/5980.txt  \n",
            "  inflating: ./data/data_train/train/pos/5982.txt  \n",
            "  inflating: ./data/data_train/train/pos/5986.txt  \n",
            "  inflating: ./data/data_train/train/pos/5989.txt  \n",
            "  inflating: ./data/data_train/train/pos/5991.txt  \n",
            "  inflating: ./data/data_train/train/pos/5995.txt  \n",
            "  inflating: ./data/data_train/train/pos/5996.txt  \n",
            "  inflating: ./data/data_train/train/pos/6.txt  \n",
            "  inflating: ./data/data_train/train/pos/600.txt  \n",
            "  inflating: ./data/data_train/train/pos/6001.txt  \n",
            "  inflating: ./data/data_train/train/pos/6006.txt  \n",
            "  inflating: ./data/data_train/train/pos/6010.txt  \n",
            "  inflating: ./data/data_train/train/pos/6012.txt  \n",
            "  inflating: ./data/data_train/train/pos/6016.txt  \n",
            "  inflating: ./data/data_train/train/pos/6017.txt  \n",
            "  inflating: ./data/data_train/train/pos/6021.txt  \n",
            "  inflating: ./data/data_train/train/pos/6024.txt  \n",
            "  inflating: ./data/data_train/train/pos/6025.txt  \n",
            "  inflating: ./data/data_train/train/pos/6026.txt  \n",
            " extracting: ./data/data_train/train/pos/6027.txt  \n",
            "  inflating: ./data/data_train/train/pos/6028.txt  \n",
            "  inflating: ./data/data_train/train/pos/603.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6033.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6035.txt  \n",
            "  inflating: ./data/data_train/train/pos/6037.txt  \n",
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            "  inflating: ./data/data_train/train/pos/604.txt  \n",
            "  inflating: ./data/data_train/train/pos/6040.txt  \n",
            "  inflating: ./data/data_train/train/pos/6041.txt  \n",
            "  inflating: ./data/data_train/train/pos/6043.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6046.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6060.txt  \n",
            "  inflating: ./data/data_train/train/pos/6061.txt  \n",
            "  inflating: ./data/data_train/train/pos/6063.txt  \n",
            "  inflating: ./data/data_train/train/pos/6064.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6069.txt  \n",
            "  inflating: ./data/data_train/train/pos/6070.txt  \n",
            "  inflating: ./data/data_train/train/pos/6071.txt  \n",
            "  inflating: ./data/data_train/train/pos/6074.txt  \n",
            " extracting: ./data/data_train/train/pos/6077.txt  \n",
            "  inflating: ./data/data_train/train/pos/6078.txt  \n",
            "  inflating: ./data/data_train/train/pos/608.txt  \n",
            "  inflating: ./data/data_train/train/pos/6082.txt  \n",
            "  inflating: ./data/data_train/train/pos/6083.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6098.txt  \n",
            "  inflating: ./data/data_train/train/pos/61.txt  \n",
            "  inflating: ./data/data_train/train/pos/610.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6119.txt  \n",
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            " extracting: ./data/data_train/train/pos/6135.txt  \n",
            "  inflating: ./data/data_train/train/pos/6136.txt  \n",
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            " extracting: ./data/data_train/train/pos/6185.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6438.txt  \n",
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            " extracting: ./data/data_train/train/pos/6445.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6504.txt  \n",
            "  inflating: ./data/data_train/train/pos/6506.txt  \n",
            " extracting: ./data/data_train/train/pos/6508.txt  \n",
            "  inflating: ./data/data_train/train/pos/6510.txt  \n",
            "  inflating: ./data/data_train/train/pos/6512.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6517.txt  \n",
            "  inflating: ./data/data_train/train/pos/6518.txt  \n",
            "  inflating: ./data/data_train/train/pos/6519.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6523.txt  \n",
            "  inflating: ./data/data_train/train/pos/6526.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6531.txt  \n",
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            "  inflating: ./data/data_train/train/pos/6556.txt  \n",
            "  inflating: ./data/data_train/train/pos/6561.txt  \n",
            "  inflating: ./data/data_train/train/pos/6563.txt  \n",
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            " extracting: ./data/data_train/train/pos/6844.txt  \n",
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            " extracting: ./data/data_train/train/pos/7059.txt  \n",
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            "  inflating: ./data/data_train/train/pos/7828.txt  \n",
            "  inflating: ./data/data_train/train/pos/7838.txt  \n",
            "  inflating: ./data/data_train/train/pos/7842.txt  \n",
            "  inflating: ./data/data_train/train/pos/7844.txt  \n",
            "  inflating: ./data/data_train/train/pos/7845.txt  \n",
            "  inflating: ./data/data_train/train/pos/7846.txt  \n",
            "  inflating: ./data/data_train/train/pos/7852.txt  \n",
            "  inflating: ./data/data_train/train/pos/7857.txt  \n",
            "  inflating: ./data/data_train/train/pos/7863.txt  \n",
            "  inflating: ./data/data_train/train/pos/7865.txt  \n",
            "  inflating: ./data/data_train/train/pos/7868.txt  \n",
            "  inflating: ./data/data_train/train/pos/787.txt  \n",
            "  inflating: ./data/data_train/train/pos/7870.txt  \n",
            "  inflating: ./data/data_train/train/pos/7872.txt  \n",
            "  inflating: ./data/data_train/train/pos/7874.txt  \n",
            "  inflating: ./data/data_train/train/pos/7876.txt  \n",
            "  inflating: ./data/data_train/train/pos/7880.txt  \n",
            "  inflating: ./data/data_train/train/pos/7881.txt  \n",
            "  inflating: ./data/data_train/train/pos/7884.txt  \n",
            "  inflating: ./data/data_train/train/pos/7887.txt  \n",
            "  inflating: ./data/data_train/train/pos/7888.txt  \n",
            "  inflating: ./data/data_train/train/pos/7893.txt  \n",
            "  inflating: ./data/data_train/train/pos/7897.txt  \n",
            "  inflating: ./data/data_train/train/pos/7903.txt  \n",
            "  inflating: ./data/data_train/train/pos/7905.txt  \n",
            "  inflating: ./data/data_train/train/pos/7907.txt  \n",
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            "  inflating: ./data/data_train/train/pos/791.txt  \n",
            "  inflating: ./data/data_train/train/pos/7915.txt  \n",
            "  inflating: ./data/data_train/train/pos/7918.txt  \n",
            "  inflating: ./data/data_train/train/pos/7920.txt  \n",
            "  inflating: ./data/data_train/train/pos/7925.txt  \n",
            "  inflating: ./data/data_train/train/pos/793.txt  \n",
            "  inflating: ./data/data_train/train/pos/7931.txt  \n",
            "  inflating: ./data/data_train/train/pos/7935.txt  \n",
            " extracting: ./data/data_train/train/pos/7938.txt  \n",
            "  inflating: ./data/data_train/train/pos/7948.txt  \n",
            "  inflating: ./data/data_train/train/pos/7949.txt  \n",
            "  inflating: ./data/data_train/train/pos/7951.txt  \n",
            "  inflating: ./data/data_train/train/pos/7952.txt  \n",
            "  inflating: ./data/data_train/train/pos/7953.txt  \n",
            "  inflating: ./data/data_train/train/pos/7955.txt  \n",
            "  inflating: ./data/data_train/train/pos/7957.txt  \n",
            "  inflating: ./data/data_train/train/pos/796.txt  \n",
            "  inflating: ./data/data_train/train/pos/7963.txt  \n",
            "  inflating: ./data/data_train/train/pos/7964.txt  \n",
            "  inflating: ./data/data_train/train/pos/7966.txt  \n",
            "  inflating: ./data/data_train/train/pos/7971.txt  \n",
            "  inflating: ./data/data_train/train/pos/7972.txt  \n",
            "  inflating: ./data/data_train/train/pos/7973.txt  \n",
            "  inflating: ./data/data_train/train/pos/7974.txt  \n",
            "  inflating: ./data/data_train/train/pos/7976.txt  \n",
            "  inflating: ./data/data_train/train/pos/7977.txt  \n",
            "  inflating: ./data/data_train/train/pos/7979.txt  \n",
            "  inflating: ./data/data_train/train/pos/7980.txt  \n",
            "  inflating: ./data/data_train/train/pos/7986.txt  \n",
            "  inflating: ./data/data_train/train/pos/7989.txt  \n",
            "  inflating: ./data/data_train/train/pos/799.txt  \n",
            "  inflating: ./data/data_train/train/pos/7990.txt  \n",
            "  inflating: ./data/data_train/train/pos/7997.txt  \n",
            "  inflating: ./data/data_train/train/pos/8.txt  \n",
            "  inflating: ./data/data_train/train/pos/800.txt  \n",
            "  inflating: ./data/data_train/train/pos/8000.txt  \n",
            "  inflating: ./data/data_train/train/pos/8001.txt  \n",
            "  inflating: ./data/data_train/train/pos/8004.txt  \n",
            "  inflating: ./data/data_train/train/pos/8008.txt  \n",
            "  inflating: ./data/data_train/train/pos/8011.txt  \n",
            "  inflating: ./data/data_train/train/pos/8012.txt  \n",
            "  inflating: ./data/data_train/train/pos/8015.txt  \n",
            "  inflating: ./data/data_train/train/pos/8017.txt  \n",
            "  inflating: ./data/data_train/train/pos/8018.txt  \n",
            "  inflating: ./data/data_train/train/pos/8019.txt  \n",
            "  inflating: ./data/data_train/train/pos/8023.txt  \n",
            "  inflating: ./data/data_train/train/pos/8025.txt  \n",
            "  inflating: ./data/data_train/train/pos/8027.txt  \n",
            "  inflating: ./data/data_train/train/pos/8031.txt  \n",
            "  inflating: ./data/data_train/train/pos/8032.txt  \n",
            "  inflating: ./data/data_train/train/pos/8034.txt  \n",
            " extracting: ./data/data_train/train/pos/8035.txt  \n",
            "  inflating: ./data/data_train/train/pos/8036.txt  \n",
            "  inflating: ./data/data_train/train/pos/8038.txt  \n",
            "  inflating: ./data/data_train/train/pos/8043.txt  \n",
            "  inflating: ./data/data_train/train/pos/8044.txt  \n",
            "  inflating: ./data/data_train/train/pos/8045.txt  \n",
            "  inflating: ./data/data_train/train/pos/8046.txt  \n",
            "  inflating: ./data/data_train/train/pos/8048.txt  \n",
            "  inflating: ./data/data_train/train/pos/8049.txt  \n",
            "  inflating: ./data/data_train/train/pos/805.txt  \n",
            "  inflating: ./data/data_train/train/pos/8050.txt  \n",
            "  inflating: ./data/data_train/train/pos/8051.txt  \n",
            "  inflating: ./data/data_train/train/pos/8052.txt  \n",
            "  inflating: ./data/data_train/train/pos/8054.txt  \n",
            "  inflating: ./data/data_train/train/pos/8055.txt  \n",
            "  inflating: ./data/data_train/train/pos/8056.txt  \n",
            "  inflating: ./data/data_train/train/pos/8057.txt  \n",
            "  inflating: ./data/data_train/train/pos/8058.txt  \n",
            "  inflating: ./data/data_train/train/pos/8059.txt  \n",
            "  inflating: ./data/data_train/train/pos/806.txt  \n",
            "  inflating: ./data/data_train/train/pos/8060.txt  \n",
            "  inflating: ./data/data_train/train/pos/8062.txt  \n",
            "  inflating: ./data/data_train/train/pos/8067.txt  \n",
            "  inflating: ./data/data_train/train/pos/8068.txt  \n",
            "  inflating: ./data/data_train/train/pos/8070.txt  \n",
            "  inflating: ./data/data_train/train/pos/8074.txt  \n",
            "  inflating: ./data/data_train/train/pos/808.txt  \n",
            "  inflating: ./data/data_train/train/pos/8083.txt  \n",
            "  inflating: ./data/data_train/train/pos/8084.txt  \n",
            "  inflating: ./data/data_train/train/pos/8088.txt  \n",
            "  inflating: ./data/data_train/train/pos/8089.txt  \n",
            "  inflating: ./data/data_train/train/pos/8092.txt  \n",
            "  inflating: ./data/data_train/train/pos/8094.txt  \n",
            "  inflating: ./data/data_train/train/pos/8095.txt  \n",
            "  inflating: ./data/data_train/train/pos/81.txt  \n",
            "  inflating: ./data/data_train/train/pos/810.txt  \n",
            "  inflating: ./data/data_train/train/pos/8100.txt  \n",
            "  inflating: ./data/data_train/train/pos/8105.txt  \n",
            "  inflating: ./data/data_train/train/pos/8109.txt  \n",
            "  inflating: ./data/data_train/train/pos/812.txt  \n",
            "  inflating: ./data/data_train/train/pos/8121.txt  \n",
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            "  inflating: ./data/data_train/train/pos/813.txt  \n",
            "  inflating: ./data/data_train/train/pos/8137.txt  \n",
            "  inflating: ./data/data_train/train/pos/8139.txt  \n",
            "  inflating: ./data/data_train/train/pos/814.txt  \n",
            "  inflating: ./data/data_train/train/pos/8140.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8145.txt  \n",
            "  inflating: ./data/data_train/train/pos/815.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8160.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8169.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8196.txt  \n",
            "  inflating: ./data/data_train/train/pos/8200.txt  \n",
            "  inflating: ./data/data_train/train/pos/8201.txt  \n",
            "  inflating: ./data/data_train/train/pos/821.txt  \n",
            "  inflating: ./data/data_train/train/pos/8219.txt  \n",
            "  inflating: ./data/data_train/train/pos/8223.txt  \n",
            "  inflating: ./data/data_train/train/pos/8225.txt  \n",
            "  inflating: ./data/data_train/train/pos/823.txt  \n",
            "  inflating: ./data/data_train/train/pos/8230.txt  \n",
            "  inflating: ./data/data_train/train/pos/8232.txt  \n",
            "  inflating: ./data/data_train/train/pos/8233.txt  \n",
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            "  inflating: ./data/data_train/train/pos/828.txt  \n",
            "  inflating: ./data/data_train/train/pos/8288.txt  \n",
            "  inflating: ./data/data_train/train/pos/829.txt  \n",
            "  inflating: ./data/data_train/train/pos/8290.txt  \n",
            " extracting: ./data/data_train/train/pos/8292.txt  \n",
            "  inflating: ./data/data_train/train/pos/8293.txt  \n",
            "  inflating: ./data/data_train/train/pos/8294.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8299.txt  \n",
            "  inflating: ./data/data_train/train/pos/83.txt  \n",
            "  inflating: ./data/data_train/train/pos/8300.txt  \n",
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            "  inflating: ./data/data_train/train/pos/831.txt  \n",
            "  inflating: ./data/data_train/train/pos/8310.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8317.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8320.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8330.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8333.txt  \n",
            "  inflating: ./data/data_train/train/pos/8335.txt  \n",
            "  inflating: ./data/data_train/train/pos/8340.txt  \n",
            "  inflating: ./data/data_train/train/pos/8346.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8353.txt  \n",
            "  inflating: ./data/data_train/train/pos/8355.txt  \n",
            "  inflating: ./data/data_train/train/pos/8356.txt  \n",
            "  inflating: ./data/data_train/train/pos/8359.txt  \n",
            "  inflating: ./data/data_train/train/pos/836.txt  \n",
            "  inflating: ./data/data_train/train/pos/8360.txt  \n",
            "  inflating: ./data/data_train/train/pos/8361.txt  \n",
            "  inflating: ./data/data_train/train/pos/8362.txt  \n",
            "  inflating: ./data/data_train/train/pos/8366.txt  \n",
            "  inflating: ./data/data_train/train/pos/8371.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8383.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8392.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8397.txt  \n",
            "  inflating: ./data/data_train/train/pos/8398.txt  \n",
            "  inflating: ./data/data_train/train/pos/840.txt  \n",
            "  inflating: ./data/data_train/train/pos/8400.txt  \n",
            "  inflating: ./data/data_train/train/pos/8402.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8410.txt  \n",
            "  inflating: ./data/data_train/train/pos/8412.txt  \n",
            "  inflating: ./data/data_train/train/pos/8415.txt  \n",
            " extracting: ./data/data_train/train/pos/8416.txt  \n",
            "  inflating: ./data/data_train/train/pos/8417.txt  \n",
            "  inflating: ./data/data_train/train/pos/8419.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8420.txt  \n",
            "  inflating: ./data/data_train/train/pos/8425.txt  \n",
            "  inflating: ./data/data_train/train/pos/8426.txt  \n",
            "  inflating: ./data/data_train/train/pos/8428.txt  \n",
            "  inflating: ./data/data_train/train/pos/8429.txt  \n",
            "  inflating: ./data/data_train/train/pos/8432.txt  \n",
            "  inflating: ./data/data_train/train/pos/8435.txt  \n",
            "  inflating: ./data/data_train/train/pos/8436.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8440.txt  \n",
            "  inflating: ./data/data_train/train/pos/8441.txt  \n",
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            " extracting: ./data/data_train/train/pos/846.txt  \n",
            "  inflating: ./data/data_train/train/pos/8461.txt  \n",
            "  inflating: ./data/data_train/train/pos/8462.txt  \n",
            "  inflating: ./data/data_train/train/pos/8466.txt  \n",
            "  inflating: ./data/data_train/train/pos/8471.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8480.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8490.txt  \n",
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            "  inflating: ./data/data_train/train/pos/851.txt  \n",
            "  inflating: ./data/data_train/train/pos/8510.txt  \n",
            "  inflating: ./data/data_train/train/pos/8511.txt  \n",
            "  inflating: ./data/data_train/train/pos/8513.txt  \n",
            "  inflating: ./data/data_train/train/pos/8514.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8523.txt  \n",
            "  inflating: ./data/data_train/train/pos/8526.txt  \n",
            "  inflating: ./data/data_train/train/pos/8527.txt  \n",
            "  inflating: ./data/data_train/train/pos/8528.txt  \n",
            "  inflating: ./data/data_train/train/pos/8533.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8540.txt  \n",
            "  inflating: ./data/data_train/train/pos/8545.txt  \n",
            "  inflating: ./data/data_train/train/pos/8549.txt  \n",
            "  inflating: ./data/data_train/train/pos/8554.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8561.txt  \n",
            "  inflating: ./data/data_train/train/pos/8562.txt  \n",
            "  inflating: ./data/data_train/train/pos/8569.txt  \n",
            "  inflating: ./data/data_train/train/pos/8570.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8579.txt  \n",
            "  inflating: ./data/data_train/train/pos/858.txt  \n",
            "  inflating: ./data/data_train/train/pos/8587.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8598.txt  \n",
            "  inflating: ./data/data_train/train/pos/86.txt  \n",
            "  inflating: ./data/data_train/train/pos/860.txt  \n",
            "  inflating: ./data/data_train/train/pos/8601.txt  \n",
            "  inflating: ./data/data_train/train/pos/8604.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8613.txt  \n",
            "  inflating: ./data/data_train/train/pos/8616.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8622.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8627.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8632.txt  \n",
            "  inflating: ./data/data_train/train/pos/8633.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8642.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8645.txt  \n",
            "  inflating: ./data/data_train/train/pos/8647.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8650.txt  \n",
            "  inflating: ./data/data_train/train/pos/8652.txt  \n",
            "  inflating: ./data/data_train/train/pos/8654.txt  \n",
            "  inflating: ./data/data_train/train/pos/8655.txt  \n",
            "  inflating: ./data/data_train/train/pos/8656.txt  \n",
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            "  inflating: ./data/data_train/train/pos/866.txt  \n",
            "  inflating: ./data/data_train/train/pos/8660.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8664.txt  \n",
            "  inflating: ./data/data_train/train/pos/8667.txt  \n",
            "  inflating: ./data/data_train/train/pos/8669.txt  \n",
            "  inflating: ./data/data_train/train/pos/8670.txt  \n",
            "  inflating: ./data/data_train/train/pos/8676.txt  \n",
            "  inflating: ./data/data_train/train/pos/8678.txt  \n",
            "  inflating: ./data/data_train/train/pos/8679.txt  \n",
            "  inflating: ./data/data_train/train/pos/868.txt  \n",
            "  inflating: ./data/data_train/train/pos/8680.txt  \n",
            "  inflating: ./data/data_train/train/pos/8682.txt  \n",
            "  inflating: ./data/data_train/train/pos/8683.txt  \n",
            "  inflating: ./data/data_train/train/pos/8688.txt  \n",
            "  inflating: ./data/data_train/train/pos/8694.txt  \n",
            "  inflating: ./data/data_train/train/pos/8695.txt  \n",
            "  inflating: ./data/data_train/train/pos/8697.txt  \n",
            "  inflating: ./data/data_train/train/pos/8698.txt  \n",
            "  inflating: ./data/data_train/train/pos/870.txt  \n",
            "  inflating: ./data/data_train/train/pos/8700.txt  \n",
            "  inflating: ./data/data_train/train/pos/8701.txt  \n",
            "  inflating: ./data/data_train/train/pos/8705.txt  \n",
            "  inflating: ./data/data_train/train/pos/8707.txt  \n",
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            "  inflating: ./data/data_train/train/pos/871.txt  \n",
            "  inflating: ./data/data_train/train/pos/8712.txt  \n",
            "  inflating: ./data/data_train/train/pos/8713.txt  \n",
            "  inflating: ./data/data_train/train/pos/8716.txt  \n",
            "  inflating: ./data/data_train/train/pos/8719.txt  \n",
            "  inflating: ./data/data_train/train/pos/872.txt  \n",
            "  inflating: ./data/data_train/train/pos/8723.txt  \n",
            "  inflating: ./data/data_train/train/pos/8724.txt  \n",
            "  inflating: ./data/data_train/train/pos/8730.txt  \n",
            "  inflating: ./data/data_train/train/pos/8732.txt  \n",
            "  inflating: ./data/data_train/train/pos/8733.txt  \n",
            "  inflating: ./data/data_train/train/pos/8734.txt  \n",
            "  inflating: ./data/data_train/train/pos/8738.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8744.txt  \n",
            "  inflating: ./data/data_train/train/pos/8746.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8750.txt  \n",
            "  inflating: ./data/data_train/train/pos/8752.txt  \n",
            " extracting: ./data/data_train/train/pos/8766.txt  \n",
            "  inflating: ./data/data_train/train/pos/8772.txt  \n",
            "  inflating: ./data/data_train/train/pos/8774.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8782.txt  \n",
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            "  inflating: ./data/data_train/train/pos/88.txt  \n",
            "  inflating: ./data/data_train/train/pos/8802.txt  \n",
            " extracting: ./data/data_train/train/pos/8803.txt  \n",
            "  inflating: ./data/data_train/train/pos/8804.txt  \n",
            "  inflating: ./data/data_train/train/pos/8806.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8826.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8841.txt  \n",
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            "  inflating: ./data/data_train/train/pos/8881.txt  \n",
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            " extracting: ./data/data_train/train/pos/8964.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9176.txt  \n",
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            "  inflating: ./data/data_train/train/pos/918.txt  \n",
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            " extracting: ./data/data_train/train/pos/9181.txt  \n",
            "  inflating: ./data/data_train/train/pos/9182.txt  \n",
            "  inflating: ./data/data_train/train/pos/9183.txt  \n",
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            "  inflating: ./data/data_train/train/pos/921.txt  \n",
            "  inflating: ./data/data_train/train/pos/9215.txt  \n",
            "  inflating: ./data/data_train/train/pos/9216.txt  \n",
            " extracting: ./data/data_train/train/pos/9217.txt  \n",
            "  inflating: ./data/data_train/train/pos/9218.txt  \n",
            "  inflating: ./data/data_train/train/pos/9219.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9230.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9264.txt  \n",
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            "  inflating: ./data/data_train/train/pos/928.txt  \n",
            "  inflating: ./data/data_train/train/pos/9281.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9300.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9313.txt  \n",
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            "  inflating: ./data/data_train/train/pos/933.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9500.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9521.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9529.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9540.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9571.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9581.txt  \n",
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            " extracting: ./data/data_train/train/pos/9583.txt  \n",
            "  inflating: ./data/data_train/train/pos/9591.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9597.txt  \n",
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            " extracting: ./data/data_train/train/pos/96.txt  \n",
            "  inflating: ./data/data_train/train/pos/960.txt  \n",
            "  inflating: ./data/data_train/train/pos/9602.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9635.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9655.txt  \n",
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            " extracting: ./data/data_train/train/pos/9658.txt  \n",
            "  inflating: ./data/data_train/train/pos/9659.txt  \n",
            "  inflating: ./data/data_train/train/pos/966.txt  \n",
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            "  inflating: ./data/data_train/train/pos/9765.txt  \n",
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          ]
        }
      ],
      "source": [
        "!unzip ./ntc-scv/data/data_test.zip -d ./data\n",
        "!unzip ./ntc-scv/data/data_train.zip -d ./data\n",
        "!rm -rf ./ntc-scv"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Q0jHeUN7rkrE"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import pandas as pd\n",
        "\n",
        "def load_data_from_path(folder_path):\n",
        "    examples = []\n",
        "    for label in os.listdir(folder_path):\n",
        "        full_path = os.path.join(folder_path, label)\n",
        "        for file_name in os.listdir(full_path):\n",
        "            file_path = os.path.join(full_path, file_name)\n",
        "            with open(file_path, \"r\", encoding=\"utf-8\") as f:\n",
        "                lines = f.readlines()\n",
        "            sentence = \" \".join(lines)\n",
        "            if label == \"neg\":\n",
        "                label = 0\n",
        "            if label == \"pos\":\n",
        "                label = 1\n",
        "            data = {\n",
        "                'sentence': sentence,\n",
        "                'label': label\n",
        "            }\n",
        "            examples.append(data)\n",
        "    return pd.DataFrame(examples)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GZxIF6mCrkrF"
      },
      "outputs": [],
      "source": [
        "folder_paths = {\n",
        "    'train': './data/data_train/train',\n",
        "    'valid': './data/data_train/test',\n",
        "    'test': './data/data_test/test'\n",
        "}\n",
        "\n",
        "train_df = load_data_from_path(folder_paths['train'])\n",
        "valid_df = load_data_from_path(folder_paths['valid'])\n",
        "test_df = load_data_from_path(folder_paths['test'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YXEhAwXorkrF",
        "outputId": "dd125e80-639b-4eed-9f3f-524ee31f6338",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            sentence  label\n",
              "0  Quá thất_vọng cho 1 pub ở ngay trung_tâm saigo...      0\n",
              "1  Thấy review của foody đi ăn thử , thất_vọng vô...      0\n",
              "2  Trc hay ăn đây lắm vì minh dễ ăn . Nhưng hôm_q...      0\n",
              "3  Hm = ) ) ) Ừm , chỗ này lần đầu mình uống nhưn...      0\n",
              "4  Mình có order thức_ăn ở Zé 1 lần duy_nhất và m...      0"
            ],
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              "    width: 32px;\n",
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              "  .colab-df-quickchart:hover {\n",
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              "  }\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",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
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              "      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",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "train_df.head(5)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gC3Wgc0UrkrF"
      },
      "source": [
        "##**2. Preprocessing**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JRer6QHhrkrG"
      },
      "source": [
        "###**2.1. Language Detection**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mkFshzWyrkrG",
        "outputId": "347f07f6-e2df-4d75-8761-0500c5385ddc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting langid\n",
            "  Downloading langid-1.1.6.tar.gz (1.9 MB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.9 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.1/1.9 MB\u001b[0m \u001b[31m1.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.5/1.9 MB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m19.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m16.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from langid) (1.23.5)\n",
            "Building wheels for collected packages: langid\n",
            "  Building wheel for langid (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for langid: filename=langid-1.1.6-py3-none-any.whl size=1941173 sha256=0fa00446c3f2f994ce90cc8124e940047022e0e06d0f83f10c9240de97c235d3\n",
            "  Stored in directory: /root/.cache/pip/wheels/23/c8/c6/eed80894918490a175677414d40bd7c851413bbe03d4856c3c\n",
            "Successfully built langid\n",
            "Installing collected packages: langid\n",
            "Successfully installed langid-1.1.6\n"
          ]
        }
      ],
      "source": [
        "!pip install langid"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "67SMB4OsrkrG"
      },
      "outputs": [],
      "source": [
        "from langid.langid import LanguageIdentifier, model\n",
        "\n",
        "def identify_vn(df):\n",
        "    identifier = LanguageIdentifier.from_modelstring(model, norm_probs=True)\n",
        "    not_vi_idx = set()\n",
        "    THRESHOLD = 0.9\n",
        "    for idx, row in df.iterrows():\n",
        "        score = identifier.classify(row[\"sentence\"])\n",
        "        if score[0] != \"vi\" or (score[0] == \"vi\" and score[1] <= THRESHOLD):\n",
        "            not_vi_idx.add(idx)\n",
        "    vi_df = df[~df.index.isin(not_vi_idx)]\n",
        "    not_vi_df = df[df.index.isin(not_vi_idx)]\n",
        "    return vi_df, not_vi_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8hR7Y4w8rkrG"
      },
      "outputs": [],
      "source": [
        "train_df_vi, train_df_other = identify_vn(train_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "w_9nfPzxrkrG",
        "outputId": "4d26d2b3-7213-46f0-ce85-b69cd514e83a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                                                sentence  label\n",
              "0      Đến vào soft opening , nói thật_là chỉ ưng trâ...      0\n",
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              "4      Không_gian : không nhỏ lắm , có bàn ngoài_trời...      0\n",
              "...                                                  ...    ...\n",
              "29994  Quán trang_trí bắt_mắt , nhạc nghe hay\\n Nhân_...      1\n",
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              "29997  Quán mới , mọi thứ mới , nhân_viên cũng mới và...      1\n",
              "29998  Thích ngay cái nhìn đầu_tiên ( y ) Like mạnh c...      1\n",
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            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "train_df_vi"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vajiWpYNrkrH",
        "outputId": "146ad0a1-b11e-476a-e0b2-2e69bd2d1297",
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                sentence  label\n",
              "40     Lam gi co cho goi xe ... ... cho thi chat choi...      0\n",
              "155    Fuf hug igv uvu ucy gyc jv yc yc 6 ycy g 7h kh...      0\n",
              "629    We were at Buffet_Ganh last night and it was p...      0\n",
              "630    The customer service was not too bad . But the...      0\n",
              "669    О с е н ь д о л г о г о т о в я т , а б с о л ...      0\n",
              "...                                                  ...    ...\n",
              "29769  Came here after dinner , parking and access wa...      1\n",
              "29771  Nghe ban gioi thieu nen den quan uong thu . La...      1\n",
              "29928  I went to eat udon with my vietnamese friends ...      1\n",
              "29991  This place has a really # chill vibe to it and...      1\n",
              "29999  O day tung sua quan 1 lan nen quan cang ngay c...      1\n",
              "\n",
              "[264 rows x 2 columns]"
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              "\n",
              "  <div id=\"df-c76d6f16-45a5-4563-903e-668a865cd25b\" 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</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>Lam gi co cho goi xe ... ... cho thi chat choi...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>Fuf hug igv uvu ucy gyc jv yc yc 6 ycy g 7h kh...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>629</th>\n",
              "      <td>We were at Buffet_Ganh last night and it was p...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>630</th>\n",
              "      <td>The customer service was not too bad . But the...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>669</th>\n",
              "      <td>О с е н ь д о л г о г о т о в я т , а б с о л ...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29769</th>\n",
              "      <td>Came here after dinner , parking and access wa...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29771</th>\n",
              "      <td>Nghe ban gioi thieu nen den quan uong thu . La...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29928</th>\n",
              "      <td>I went to eat udon with my vietnamese friends ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29991</th>\n",
              "      <td>This place has a really # chill vibe to it and...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29999</th>\n",
              "      <td>O day tung sua quan 1 lan nen quan cang ngay c...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>264 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c76d6f16-45a5-4563-903e-668a865cd25b')\"\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-c76d6f16-45a5-4563-903e-668a865cd25b 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-c76d6f16-45a5-4563-903e-668a865cd25b');\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-bdb3c6fa-b759-4f5a-b1c3-d022395ba46b\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bdb3c6fa-b759-4f5a-b1c3-d022395ba46b')\"\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-bdb3c6fa-b759-4f5a-b1c3-d022395ba46b 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": 9
        }
      ],
      "source": [
        "train_df_other"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g-g6dtCHrkrH"
      },
      "source": [
        "###**2.2. Preprocessing**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5-RIlCStrkrH"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "import string\n",
        "\n",
        "def preprocess_text(text):\n",
        "\n",
        "    url_pattern = re.compile(r'https?://\\s+\\wwww\\.\\s+')\n",
        "    text = url_pattern.sub(r\" \", text)\n",
        "\n",
        "    html_pattern = re.compile(r'<[^<>]+>')\n",
        "    text = html_pattern.sub(\" \", text)\n",
        "\n",
        "    replace_chars = list(string.punctuation + string.digits)\n",
        "    for char in replace_chars:\n",
        "        text = text.replace(char, \" \")\n",
        "\n",
        "    emoji_pattern = re.compile(\"[\"\n",
        "        u\"\\U0001F600-\\U0001F64F\"  # emoticons\n",
        "        u\"\\U0001F300-\\U0001F5FF\"  # symbols & pictographs\n",
        "        u\"\\U0001F680-\\U0001F6FF\"  # transport & map symbols\n",
        "        u\"\\U0001F1E0-\\U0001F1FF\"  # flags (iOS)\n",
        "        u\"\\U0001F1F2-\\U0001F1F4\"  # Macau flag\n",
        "        u\"\\U0001F1E6-\\U0001F1FF\"  # flags\n",
        "        u\"\\U0001F600-\\U0001F64F\"\n",
        "        u\"\\U00002702-\\U000027B0\"\n",
        "        u\"\\U000024C2-\\U0001F251\"\n",
        "        u\"\\U0001f926-\\U0001f937\"\n",
        "        u\"\\U0001F1F2\"\n",
        "        u\"\\U0001F1F4\"\n",
        "        u\"\\U0001F620\"\n",
        "        u\"\\u200d\"\n",
        "        u\"\\u2640-\\u2642\"\n",
        "        \"]+\", flags=re.UNICODE)\n",
        "    text = emoji_pattern.sub(r\" \", text)\n",
        "\n",
        "    text = \" \".join(text.split())\n",
        "\n",
        "    return text.lower()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5x3vZZwprkrH",
        "outputId": "a433746d-9b96-4c31-c72e-dc1bbf4260f9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Có_lẽ do mình ăn đồ Hàn nhiều trong khu quận 7 & Tân_Bình nên quán này cứ như nấu không tới ý , ngoài_ra có những điểm không thích sau :\\n • Quán bé xíu , không sạch_sẽ lắm\\n • So với hình_ảnh trong menu thì đúng là \" hình_ảnh rất mang tính minh_hoạ \" - giá_cả nhìn có_vẻ vừa tầm nhưng chất_lượng lại tệ\\n • Chả cá & soup không có gì đặc_sắc\\n • Tokkobki phô_mai ăn được\\n • Bulgogi ngọt như chè í và rất ít thịt , chỉ có miến với rau độn - giá 99k hơi cao\\n • Nhân_viên lơ_đễnh kêu 2-3 thứ thì chỉ đem ra dc 1 thứ , nhắc_đi_nhắc_lại\\n Bạn mình đến quán đầu_tiên và ngồi 1 mình , bạn nhân_viên khi order ngồi xuống ghế đối_diện và ghi làm nhỏ hơi giật_mình : )\\n Chắc khó quay lại lần sau\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "train_df_vi['sentence'][0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9p825QUyrkrH",
        "outputId": "2267c95b-5820-4fd8-d618-ab4a92aece57",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'có lẽ do mình ăn đồ hàn nhiều trong khu quận tân bình nên quán này cứ như nấu không tới ý ngoài ra có những điểm không thích sau • quán bé xíu không sạch sẽ lắm • so với hình ảnh trong menu thì đúng là hình ảnh rất mang tính minh hoạ giá cả nhìn có vẻ vừa tầm nhưng chất lượng lại tệ • chả cá soup không có gì đặc sắc • tokkobki phô mai ăn được • bulgogi ngọt như chè í và rất ít thịt chỉ có miến với rau độn giá k hơi cao • nhân viên lơ đễnh kêu thứ thì chỉ đem ra dc thứ nhắc đi nhắc lại bạn mình đến quán đầu tiên và ngồi mình bạn nhân viên khi order ngồi xuống ghế đối diện và ghi làm nhỏ hơi giật mình chắc khó quay lại lần sau'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "preprocess_text(train_df_vi['sentence'][0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kxI--G8grkrH",
        "outputId": "335fecfb-a7a7-4279-ba15-b626d345d8c2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-11-e21d2b59a2cb>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  train_df_vi['preprocess_sentence'] = [preprocess_text(row['sentence']) for index, row in train_df_vi.iterrows()]\n"
          ]
        }
      ],
      "source": [
        "train_df_vi['preprocess_sentence'] = [preprocess_text(row['sentence']) for index, row in train_df_vi.iterrows()]\n",
        "valid_df['preprocess_sentence'] = [preprocess_text(row['sentence']) for index, row in valid_df.iterrows()]\n",
        "test_df['preprocess_sentence'] = [preprocess_text(row['sentence']) for index, row in test_df.iterrows()]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iI3r_zmmrkrH",
        "outputId": "d2627846-0c10-4211-a8d9-1f848c7a6e54",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                sentence  label\n",
              "0      Có_lẽ do mình ăn đồ Hàn nhiều trong khu quận 7...      0\n",
              "1      Um thì view đẹp thiệt , nhưng thái_độ phục_vụ ...      0\n",
              "2      Sa ́ ng nay mi ̀ nh co ́ đi ăn ba ́ nh cuô ́ n...      0\n",
              "3      - Quán bé , nhà_vệ_sinh thì lại rộng , ở khu_p...      0\n",
              "4      Hi_Admin ,\\n Chỗ này đóng_cửa thay tên đổi chủ...      0\n",
              "...                                                  ...    ...\n",
              "29995  Nhà_hàng giá không rẻ mà đông cực , phải đặt c...      1\n",
              "29996  Súp cua này đứng trước cổng truòng học Trần_Bô...      1\n",
              "29997  Cũng lâu rồi không ghé lại quán , kỳ này lên t...      1\n",
              "29998  Hôm_nay có dịp ghé Watcha ăn và uống nhờ chuyế...      1\n",
              "29999  Hôm_nay ghé quán quen này vào một buổi xế_chiề...      1\n",
              "\n",
              "[30000 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-16eb4db5-ca22-42ac-9901-2712b3d8dd7e\" 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</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Có_lẽ do mình ăn đồ Hàn nhiều trong khu quận 7...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Um thì view đẹp thiệt , nhưng thái_độ phục_vụ ...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Sa ́ ng nay mi ̀ nh co ́ đi ăn ba ́ nh cuô ́ n...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>- Quán bé , nhà_vệ_sinh thì lại rộng , ở khu_p...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hi_Admin ,\\n Chỗ này đóng_cửa thay tên đổi chủ...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29995</th>\n",
              "      <td>Nhà_hàng giá không rẻ mà đông cực , phải đặt c...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29996</th>\n",
              "      <td>Súp cua này đứng trước cổng truòng học Trần_Bô...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29997</th>\n",
              "      <td>Cũng lâu rồi không ghé lại quán , kỳ này lên t...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29998</th>\n",
              "      <td>Hôm_nay có dịp ghé Watcha ăn và uống nhờ chuyế...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29999</th>\n",
              "      <td>Hôm_nay ghé quán quen này vào một buổi xế_chiề...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>30000 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-16eb4db5-ca22-42ac-9901-2712b3d8dd7e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\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-16eb4db5-ca22-42ac-9901-2712b3d8dd7e 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-16eb4db5-ca22-42ac-9901-2712b3d8dd7e');\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-61993727-9ac3-45d5-a490-0126af0ab287\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-61993727-9ac3-45d5-a490-0126af0ab287')\"\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-61993727-9ac3-45d5-a490-0126af0ab287 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": 15
        }
      ],
      "source": [
        "train_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vNMsPhdlrkrH",
        "outputId": "55937f23-7c72-4db5-ab4b-bdb500880f70",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                               sentence  label  \\\n",
              "0     quán nhỏ nên ngồi và để xe có chút bất_tiện ~ ...      0   \n",
              "1     Công_ty chọn tiệc tân niên ở đây , ban_đầu bên...      0   \n",
              "2     M thấy đồ uống chán qá . M gọi 1 match xay tru...      0   \n",
              "3     Mãi mới có quán gần trường để đi ăn . Dù quá h...      0   \n",
              "4     Thấy mấy đứa bạn kêu ngon nên zô ăn thử , có t...      0   \n",
              "...                                                 ...    ...   \n",
              "9995  Mình mới đến đây vài lần nhưng thấy có nhiều m...      1   \n",
              "9996  Buổi_sáng dậy mà thèm bún_bò thì đây luôn là s...      1   \n",
              "9997  Bánh_tráng ở đây ngon , lạ_miệng nữa . Có nhiề...      1   \n",
              "9998  Bữa mình ghé Aeon chơi xong vô lotteria ăn luô...      1   \n",
              "9999  Một trong những địa_điểm phải đến khi đến Da n...      1   \n",
              "\n",
              "                                    preprocess_sentence  \n",
              "0     quán nhỏ nên ngồi và để xe có chút bất tiện đồ...  \n",
              "1     công ty chọn tiệc tân niên ở đây ban đầu bên n...  \n",
              "2     m thấy đồ uống chán qá m gọi match xay truyền ...  \n",
              "3     mãi mới có quán gần trường để đi ăn dù quá hơi...  \n",
              "4     thấy mấy đứa bạn kêu ngon nên zô ăn thử có thấ...  \n",
              "...                                                 ...  \n",
              "9995  mình mới đến đây vài lần nhưng thấy có nhiều m...  \n",
              "9996  buổi sáng dậy mà thèm bún bò thì đây luôn là s...  \n",
              "9997  bánh tráng ở đây ngon lạ miệng nữa có nhiều lo...  \n",
              "9998  bữa mình ghé aeon chơi xong vô lotteria ăn luô...  \n",
              "9999  một trong những địa điểm phải đến khi đến da n...  \n",
              "\n",
              "[10000 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ee2c7512-fbbb-42b6-9bef-018bb472ffac\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "    .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</th>\n",
              "      <th>label</th>\n",
              "      <th>preprocess_sentence</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>quán nhỏ nên ngồi và để xe có chút bất_tiện ~ ...</td>\n",
              "      <td>0</td>\n",
              "      <td>quán nhỏ nên ngồi và để xe có chút bất tiện đồ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Công_ty chọn tiệc tân niên ở đây , ban_đầu bên...</td>\n",
              "      <td>0</td>\n",
              "      <td>công ty chọn tiệc tân niên ở đây ban đầu bên n...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M thấy đồ uống chán qá . M gọi 1 match xay tru...</td>\n",
              "      <td>0</td>\n",
              "      <td>m thấy đồ uống chán qá m gọi match xay truyền ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Mãi mới có quán gần trường để đi ăn . Dù quá h...</td>\n",
              "      <td>0</td>\n",
              "      <td>mãi mới có quán gần trường để đi ăn dù quá hơi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Thấy mấy đứa bạn kêu ngon nên zô ăn thử , có t...</td>\n",
              "      <td>0</td>\n",
              "      <td>thấy mấy đứa bạn kêu ngon nên zô ăn thử có thấ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9995</th>\n",
              "      <td>Mình mới đến đây vài lần nhưng thấy có nhiều m...</td>\n",
              "      <td>1</td>\n",
              "      <td>mình mới đến đây vài lần nhưng thấy có nhiều m...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9996</th>\n",
              "      <td>Buổi_sáng dậy mà thèm bún_bò thì đây luôn là s...</td>\n",
              "      <td>1</td>\n",
              "      <td>buổi sáng dậy mà thèm bún bò thì đây luôn là s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>Bánh_tráng ở đây ngon , lạ_miệng nữa . Có nhiề...</td>\n",
              "      <td>1</td>\n",
              "      <td>bánh tráng ở đây ngon lạ miệng nữa có nhiều lo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>Bữa mình ghé Aeon chơi xong vô lotteria ăn luô...</td>\n",
              "      <td>1</td>\n",
              "      <td>bữa mình ghé aeon chơi xong vô lotteria ăn luô...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>Một trong những địa_điểm phải đến khi đến Da n...</td>\n",
              "      <td>1</td>\n",
              "      <td>một trong những địa điểm phải đến khi đến da n...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      fill: #1967D2;\n",
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              "    }\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-ee2c7512-fbbb-42b6-9bef-018bb472ffac 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-ee2c7512-fbbb-42b6-9bef-018bb472ffac');\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-2c2ef7b0-4041-4387-ac65-79b599a23686\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2c2ef7b0-4041-4387-ac65-79b599a23686')\"\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-2c2ef7b0-4041-4387-ac65-79b599a23686 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": 16
        }
      ],
      "source": [
        "valid_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2E1Aor_QrkrH",
        "outputId": "a6082d23-c12f-449e-eacd-1aeca9c36143",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                               sentence  label  \\\n",
              "0     Vừa ăn xong , đây là nhận_xét của mình .\\n Nhâ...      0   \n",
              "1     Bữa ghé ăn đây , thấy ăn cũng được xà_lách trộ...      0   \n",
              "2     Thấy quán đông hiếu_kì nên ghé thử . Ăn xong r...      0   \n",
              "3     Bánh hong ngon như mong_đợi . Thấy cmt trên fo...      0   \n",
              "4     Tuy hơi khó tìm ra địa_chỉ , nhưng nem ở đây k...      0   \n",
              "...                                                 ...    ...   \n",
              "9995  Trà sữa ở đây thơm mùi trà và béo vị sữa . The...      1   \n",
              "9996  Không_gian quán ấm_áp thích lắm ý : ) ) ) nhân...      1   \n",
              "9997  Không_gian đẹp , sang_trọng . Chị mình chuẩn_b...      1   \n",
              "9998  Really_Nice_Place to get a good meal for a ver...      1   \n",
              "9999  Thẻ vip của Sam.đã rẻ mà_còn giảm nữa mình thí...      1   \n",
              "\n",
              "                                    preprocess_sentence  \n",
              "0     vừa ăn xong đây là nhận xét của mình nhân viên...  \n",
              "1     bữa ghé ăn đây thấy ăn cũng được xà lách trộn ...  \n",
              "2     thấy quán đông hiếu kì nên ghé thử ăn xong rồi...  \n",
              "3     bánh hong ngon như mong đợi thấy cmt trên food...  \n",
              "4     tuy hơi khó tìm ra địa chỉ nhưng nem ở đây khá...  \n",
              "...                                                 ...  \n",
              "9995  trà sữa ở đây thơm mùi trà và béo vị sữa theo ...  \n",
              "9996  không gian quán ấm áp thích lắm ý nhân viên lẫ...  \n",
              "9997  không gian đẹp sang trọng chị mình chuẩn bị tổ...  \n",
              "9998  really nice place to get a good meal for a ver...  \n",
              "9999  thẻ vip của sam đã rẻ mà còn giảm nữa mình thí...  \n",
              "\n",
              "[10000 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-51b870f2-d79a-4de5-a6b2-a6bb60eb53e4\" 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</th>\n",
              "      <th>label</th>\n",
              "      <th>preprocess_sentence</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Vừa ăn xong , đây là nhận_xét của mình .\\n Nhâ...</td>\n",
              "      <td>0</td>\n",
              "      <td>vừa ăn xong đây là nhận xét của mình nhân viên...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bữa ghé ăn đây , thấy ăn cũng được xà_lách trộ...</td>\n",
              "      <td>0</td>\n",
              "      <td>bữa ghé ăn đây thấy ăn cũng được xà lách trộn ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Thấy quán đông hiếu_kì nên ghé thử . Ăn xong r...</td>\n",
              "      <td>0</td>\n",
              "      <td>thấy quán đông hiếu kì nên ghé thử ăn xong rồi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bánh hong ngon như mong_đợi . Thấy cmt trên fo...</td>\n",
              "      <td>0</td>\n",
              "      <td>bánh hong ngon như mong đợi thấy cmt trên food...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Tuy hơi khó tìm ra địa_chỉ , nhưng nem ở đây k...</td>\n",
              "      <td>0</td>\n",
              "      <td>tuy hơi khó tìm ra địa chỉ nhưng nem ở đây khá...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9995</th>\n",
              "      <td>Trà sữa ở đây thơm mùi trà và béo vị sữa . The...</td>\n",
              "      <td>1</td>\n",
              "      <td>trà sữa ở đây thơm mùi trà và béo vị sữa theo ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9996</th>\n",
              "      <td>Không_gian quán ấm_áp thích lắm ý : ) ) ) nhân...</td>\n",
              "      <td>1</td>\n",
              "      <td>không gian quán ấm áp thích lắm ý nhân viên lẫ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>Không_gian đẹp , sang_trọng . Chị mình chuẩn_b...</td>\n",
              "      <td>1</td>\n",
              "      <td>không gian đẹp sang trọng chị mình chuẩn bị tổ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>Really_Nice_Place to get a good meal for a ver...</td>\n",
              "      <td>1</td>\n",
              "      <td>really nice place to get a good meal for a ver...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>Thẻ vip của Sam.đã rẻ mà_còn giảm nữa mình thí...</td>\n",
              "      <td>1</td>\n",
              "      <td>thẻ vip của sam đã rẻ mà còn giảm nữa mình thí...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-51b870f2-d79a-4de5-a6b2-a6bb60eb53e4')\"\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-51b870f2-d79a-4de5-a6b2-a6bb60eb53e4 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-51b870f2-d79a-4de5-a6b2-a6bb60eb53e4');\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-fec23fa1-0eb0-4bf2-97df-13614f73c70e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fec23fa1-0eb0-4bf2-97df-13614f73c70e')\"\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-fec23fa1-0eb0-4bf2-97df-13614f73c70e 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": 17
        }
      ],
      "source": [
        "test_df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DTCMBQYBrkrH"
      },
      "source": [
        "###**2.3. EDA**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "COQLpMherkrI",
        "outputId": "a931d19e-1021-4224-99c7-47f69424c275",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.hist([len(sentence.split()) for sentence in train_df_vi['preprocess_sentence']], bins=128, range=(0, 500))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7gelwynLrkrI",
        "outputId": "302cfd5f-bee1-49be-b266-4e98b5ee105b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(17244, 2856797)"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "# count: words and vocabulary\n",
        "from collections import Counter\n",
        "\n",
        "words = []\n",
        "[[words.append(word) for word in sentence.split()] for sentence in train_df_vi['preprocess_sentence']]\n",
        "vocabulary = Counter(words)\n",
        "len(vocabulary), len(words)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GTngnKOjrkrI"
      },
      "source": [
        "##**3. Text Representation**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KLa5qvofrkrI"
      },
      "outputs": [],
      "source": [
        "!pip install -q torchtext==0.16.0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nZ4BdhivrkrI"
      },
      "outputs": [],
      "source": [
        "def yield_tokens(sentences, tokenizer):\n",
        "    for sentence in sentences:\n",
        "        yield tokenizer(sentence)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "p1UCYZoGrkrI"
      },
      "outputs": [],
      "source": [
        "# word-based tokenizer\n",
        "from torchtext.data.utils import get_tokenizer\n",
        "\n",
        "tokenizer = get_tokenizer(\"basic_english\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vGFoXsI2rkrI",
        "outputId": "0b88db1f-0858-4d9a-e58b-a2f72d89b520",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['có', 'lẽ', 'do', 'mình', 'ăn']"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "tokenizer(train_df_vi['preprocess_sentence'][0])[:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "u-wJZOkyrkrI"
      },
      "outputs": [],
      "source": [
        "# build vocabulary\n",
        "from torchtext.vocab import build_vocab_from_iterator\n",
        "\n",
        "vocab_size = 10000\n",
        "vocabulary = build_vocab_from_iterator(\n",
        "    yield_tokens(train_df_vi['preprocess_sentence'], tokenizer),\n",
        "    max_tokens=vocab_size,\n",
        "    specials=[\"<unk>\"]\n",
        ")\n",
        "vocabulary.set_default_index(vocabulary[\"<unk>\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uuUHX2ERrkrI",
        "outputId": "4a567df9-5016-44e7-8078-48af4b1d77df",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10000"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "len(vocabulary)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "juODl39drkrI",
        "outputId": "cdf63648-2766-4adf-800b-d66910c7ad71",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[3, 537, 198, 2, 1, 45, 555, 46, 72, 368, 946, 1125, 143, 17, 6, 35, 232, 28, 597, 5, 127, 156, 154, 34, 3, 149, 178, 5, 57, 115, 1572, 6, 357, 384, 5, 274, 68, 66, 1572, 214, 29, 190, 468, 72, 247, 7, 245, 4, 190, 468, 12, 203, 171, 745, 2357, 30, 49, 106, 3, 263, 85, 392, 16, 122, 139, 20, 270, 1572, 219, 188, 1376, 5, 3, 75, 131, 438, 1572, 0, 371, 321, 1, 27, 1572, 2907, 119, 28, 556, 634, 8, 12, 179, 126, 69, 3, 1136, 29, 268, 2267, 30, 13, 50, 257, 1572, 26, 24, 887, 5707, 176, 215, 7, 69, 330, 34, 434, 215, 699, 22, 699, 20, 33, 2, 37, 6, 107, 298, 8, 84, 2, 33, 26, 24, 83, 244, 84, 457, 403, 381, 712, 8, 601, 79, 111, 50, 1803, 2, 142, 231, 128, 20, 40, 115]\n"
          ]
        }
      ],
      "source": [
        "# encode text\n",
        "\n",
        "print(vocabulary(tokenizer(train_df_vi['preprocess_sentence'][0])))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2mcguTvNrkrI"
      },
      "outputs": [],
      "source": [
        "from torchtext.data.functional import to_map_style_dataset\n",
        "\n",
        "def prepare_dataset(df):\n",
        "    for index, row in df.iterrows():\n",
        "        sentence = row['preprocess_sentence']\n",
        "        encoded_sentence = vocabulary(tokenizer(sentence))\n",
        "        label = row['label']\n",
        "        yield encoded_sentence, label\n",
        "\n",
        "train_dataset = prepare_dataset(train_df_vi)\n",
        "train_dataset = to_map_style_dataset(train_dataset)\n",
        "\n",
        "valid_dataset = prepare_dataset(valid_df)\n",
        "valid_dataset = to_map_style_dataset(valid_dataset)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "60vRr0MprkrI",
        "outputId": "2a976e01-c956-433e-d55c-8e24d7477dc5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "([3, 537, 198, 2, 1, 45, 555, 46, 72, 368, 946, 1125, 143, 17, 6, 35, 232, 28, 597, 5, 127, 156, 154, 34, 3, 149, 178, 5, 57, 115, 1572, 6, 357, 384, 5, 274, 68, 66, 1572, 214, 29, 190, 468, 72, 247, 7, 245, 4, 190, 468, 12, 203, 171, 745, 2357, 30, 49, 106, 3, 263, 85, 392, 16, 122, 139, 20, 270, 1572, 219, 188, 1376, 5, 3, 75, 131, 438, 1572, 0, 371, 321, 1, 27, 1572, 2907, 119, 28, 556, 634, 8, 12, 179, 126, 69, 3, 1136, 29, 268, 2267, 30, 13, 50, 257, 1572, 26, 24, 887, 5707, 176, 215, 7, 69, 330, 34, 434, 215, 699, 22, 699, 20, 33, 2, 37, 6, 107, 298, 8, 84, 2, 33, 26, 24, 83, 244, 84, 457, 403, 381, 712, 8, 601, 79, 111, 50, 1803, 2, 142, 231, 128, 20, 40, 115], 0)\n"
          ]
        }
      ],
      "source": [
        "print(next(iter(train_dataset)))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MMKuBpU5rkrI",
        "outputId": "a838e979-5f9a-4d33-9ec2-8b8bff95fccd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "29736"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ],
      "source": [
        "len(train_dataset)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3ko0lUrdrkrI"
      },
      "source": [
        "##**4. Dataloader**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jOW5Jb5arkrI"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "\n",
        "def collate_batch(batch):\n",
        "    encoded_sentences, labels, offsets = [], [], [0]\n",
        "    for encoded_sentence, label in batch:\n",
        "        labels.append(label)\n",
        "        encoded_sentence = torch.tensor(encoded_sentence, dtype=torch.int64)\n",
        "        encoded_sentences.append(encoded_sentence)\n",
        "        offsets.append(encoded_sentence.size(0))\n",
        "\n",
        "    labels = torch.tensor(labels, dtype=torch.int64)\n",
        "    offsets = torch.tensor(offsets[:-1]).cumsum(dim=0)\n",
        "    encoded_sentences = torch.cat(encoded_sentences)\n",
        "    return encoded_sentences.to(device), offsets.to(device), labels.to(device)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cKL2q3jhrkrI"
      },
      "outputs": [],
      "source": [
        "from torch.utils.data import DataLoader\n",
        "\n",
        "batch_size = 128\n",
        "train_dataloader = DataLoader(\n",
        "    train_dataset,\n",
        "    batch_size=batch_size,\n",
        "    shuffle=True,\n",
        "    collate_fn=collate_batch\n",
        ")\n",
        "valid_dataloader = DataLoader(\n",
        "    valid_dataset,\n",
        "    batch_size=batch_size,\n",
        "    shuffle=False,\n",
        "    collate_fn=collate_batch\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ni8qkz4ZrkrI",
        "outputId": "e2dfedc6-7e49-4139-ab1d-c8099ac918d9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(tensor([  2, 120,  37,  ...,   4, 124, 260]),\n",
              " tensor([    0,   244,   274,   417,   482,   576,   662,   719,   761,   784,\n",
              "           831,  1019,  1074,  1243,  1288,  1331,  1344,  1360,  1416,  1440,\n",
              "          1515,  1542,  1652,  1896,  2020,  2051,  2141,  2203,  2296,  2377,\n",
              "          2430,  2486,  2584,  2752,  2804,  2946,  3039,  3059,  3086,  3120,\n",
              "          3225,  3354,  3511,  3597,  3770,  4076,  4163,  4222,  4261,  4348,\n",
              "          4368,  4456,  4504,  4557,  4672,  4775,  4921,  4956,  4998,  5234,\n",
              "          5251,  5323,  5339,  5434,  5463,  5499,  5631,  5724,  5749,  5785,\n",
              "          5815,  5852,  5883,  6034,  6233,  6256,  6330,  6373,  6572,  6655,\n",
              "          6700,  6799,  6902,  6979,  7080,  7138,  7245,  7290,  7680,  7853,\n",
              "          7899,  7925,  7965,  8084,  8156,  8295,  8339,  8415,  8556,  8714,\n",
              "          8872,  9014,  9139,  9203,  9239,  9295,  9345,  9412,  9495,  9702,\n",
              "          9733,  9790,  9953, 10043, 10467, 10527, 10639, 10746, 10796, 10864,\n",
              "         11015, 11096, 11194, 11239, 11406, 11498, 11564, 11594]),\n",
              " tensor([0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0,\n",
              "         1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1,\n",
              "         1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1,\n",
              "         1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1,\n",
              "         1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0,\n",
              "         1, 0, 1, 1, 0, 1, 0, 1]))"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "next(iter(train_dataloader))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fZZSwzRdrkrM"
      },
      "outputs": [],
      "source": [
        "encoded_sentences, offsets, labels = next(iter(train_dataloader))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XjwdFHzirkrM",
        "outputId": "13147d3e-97f7-4c7b-cb2c-86d9733c4e79",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([11104])"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "source": [
        "encoded_sentences.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hWRRzmcsrkrM"
      },
      "source": [
        "##**4. Model**"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Embedding**"
      ],
      "metadata": {
        "id": "-cdw4BpxubgL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torch import nn\n",
        "\n",
        "class TextClassificationModel(nn.Module):\n",
        "    def __init__(self, vocab_size, embed_dim, num_class, seq_len):\n",
        "        super(TextClassificationModel, self).__init__()\n",
        "        self.embedding = nn.Embedding(vocab_size, embed_dim)\n",
        "        self.ft = nn.Flatten()\n",
        "        self.fc = nn.Linear(seq_len*embed_dim, num_class)\n",
        "        self.init_weights()\n",
        "\n",
        "    def init_weights(self):\n",
        "        initrange = 0.5\n",
        "        self.embedding.weight.data.uniform_(-initrange, initrange)\n",
        "        self.fc.weight.data.uniform_(-initrange, initrange)\n",
        "        self.fc.bias.data.zero_()\n",
        "\n",
        "    def forward(self, inputs):\n",
        "        embedded = self.embedding(inputs)\n",
        "        ouput = self.ft(embedded)\n",
        "        return self.fc(ouput)"
      ],
      "metadata": {
        "id": "BAdJN-qNs4my"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "batch_size = 5\n",
        "seq_len = 10\n",
        "input = torch.ones([batch_size, seq_len], dtype=torch.int32)\n",
        "input"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sUXrU8r1tbaF",
        "outputId": "d4ff0af8-0863-45cf-ff31-29e6d14d4e94"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n",
              "        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n",
              "        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n",
              "        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n",
              "        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], dtype=torch.int32)"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "num_class = 2\n",
        "vocab_size = 5000\n",
        "embed_dim = 100\n",
        "model = TextClassificationModel(vocab_size, embed_dim, num_class, seq_len)"
      ],
      "metadata": {
        "id": "iVj8TDKetVYP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iBcAy0sPtZtY",
        "outputId": "93503e72-66d2-48ba-a38a-2ec746c21036"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TextClassificationModel(\n",
              "  (embedding): Embedding(5000, 100)\n",
              "  (ft): Flatten(start_dim=1, end_dim=-1)\n",
              "  (fc): Linear(in_features=1000, out_features=2, bias=True)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = model(input)\n",
        "predictions"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VXi-FvjqtudC",
        "outputId": "044a501a-0ce6-4dd7-aef3-211325afea3e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[-0.0517,  1.9232],\n",
              "        [-0.0517,  1.9232],\n",
              "        [-0.0517,  1.9232],\n",
              "        [-0.0517,  1.9232],\n",
              "        [-0.0517,  1.9232]], grad_fn=<AddmmBackward0>)"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**EmbeddingBag**"
      ],
      "metadata": {
        "id": "-CO2WbmIuhvi"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-MzIQJHHrkrM"
      },
      "outputs": [],
      "source": [
        "from torch import nn\n",
        "\n",
        "class TextClassificationModel(nn.Module):\n",
        "    def __init__(self, vocab_size, embed_dim, num_class):\n",
        "        super(TextClassificationModel, self).__init__()\n",
        "        self.embedding = nn.EmbeddingBag(vocab_size, embed_dim, sparse=False)\n",
        "        self.fc = nn.Linear(embed_dim, num_class)\n",
        "        self.init_weights()\n",
        "\n",
        "    def init_weights(self):\n",
        "        initrange = 0.5\n",
        "        self.embedding.weight.data.uniform_(-initrange, initrange)\n",
        "        self.fc.weight.data.uniform_(-initrange, initrange)\n",
        "        self.fc.bias.data.zero_()\n",
        "\n",
        "    def forward(self, inputs, offsets):\n",
        "        embedded = self.embedding(inputs, offsets)\n",
        "        return self.fc(embedded)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QCeXbqv_rkrM"
      },
      "outputs": [],
      "source": [
        "num_class = len(set(train_df_vi['label']))\n",
        "vocab_size = len(vocabulary)\n",
        "embed_dim = 100\n",
        "model = TextClassificationModel(vocab_size, embed_dim, num_class).to(device)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hBQz8qHrrkrM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7a3c276e-f0ff-4eff-9b90-2a6147c55e3f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TextClassificationModel(\n",
              "  (embedding): EmbeddingBag(10000, 100, mode='mean')\n",
              "  (fc): Linear(in_features=100, out_features=2, bias=True)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9-7uJ-BPrkrM"
      },
      "outputs": [],
      "source": [
        "predictions = model(encoded_sentences, offsets)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0RtSETL2rkrM",
        "outputId": "d2f0893f-9651-46b5-aa9a-57e97053c329",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[ 8.0906e-02, -3.3078e-02],\n",
              "        [ 7.5216e-02,  7.6704e-02],\n",
              "        [ 1.0847e-01,  7.2861e-02],\n",
              "        [-5.0523e-02,  5.2166e-02],\n",
              "        [-1.3333e-02,  2.1172e-01],\n",
              "        [-6.4176e-02,  9.2925e-02],\n",
              "        [ 2.7008e-02,  1.3824e-01],\n",
              "        [ 3.9476e-03,  6.2918e-02],\n",
              "        [ 1.0791e-01,  2.3957e-02],\n",
              "        [-1.6590e-01,  1.9178e-01],\n",
              "        [ 1.5202e-01,  2.1842e-02],\n",
              "        [ 3.2284e-03,  9.8168e-02],\n",
              "        [ 2.2878e-02, -1.2369e-02],\n",
              "        [-1.3142e-01,  9.3623e-02],\n",
              "        [-2.0478e-01, -5.1081e-02],\n",
              "        [-4.8734e-02,  1.7202e-02],\n",
              "        [-2.9863e-02, -9.4589e-02],\n",
              "        [-5.9666e-02,  1.2654e-01],\n",
              "        [ 3.3456e-02,  2.5928e-01],\n",
              "        [ 7.4628e-02,  1.3054e-01],\n",
              "        [ 5.9113e-02, -6.3100e-02],\n",
              "        [-3.3394e-02,  2.3732e-01],\n",
              "        [-1.0687e-01,  4.7350e-02],\n",
              "        [-6.4027e-02,  3.6666e-02],\n",
              "        [-3.6169e-02,  8.0496e-02],\n",
              "        [ 1.9498e-01,  1.2428e-01],\n",
              "        [ 1.0739e-02,  3.5665e-02],\n",
              "        [-4.7932e-02, -2.8038e-02],\n",
              "        [-4.7511e-03, -1.3172e-01],\n",
              "        [ 1.2511e-01,  3.3758e-02],\n",
              "        [-1.1098e-01,  7.2654e-02],\n",
              "        [-6.5250e-02,  5.3285e-02],\n",
              "        [-3.0475e-02, -9.9822e-02],\n",
              "        [-9.4927e-02,  7.5001e-02],\n",
              "        [ 1.7161e-01, -7.7717e-05],\n",
              "        [ 2.2301e-01, -1.1789e-01],\n",
              "        [-9.8746e-02,  9.0940e-02],\n",
              "        [-2.2116e-02,  2.9512e-01],\n",
              "        [ 5.2239e-02,  2.4628e-01],\n",
              "        [-2.4859e-01,  1.1190e-01],\n",
              "        [-1.1716e-01, -1.7038e-01],\n",
              "        [-1.5626e-01,  9.3458e-02],\n",
              "        [-8.8846e-02,  8.4604e-02],\n",
              "        [-1.2837e-01, -3.4871e-03],\n",
              "        [ 1.9039e-01, -2.1230e-01],\n",
              "        [-2.2283e-01, -2.4062e-01],\n",
              "        [-1.8745e-01,  4.1495e-02],\n",
              "        [ 3.4348e-02,  7.6794e-02],\n",
              "        [-7.9154e-03,  2.4126e-01],\n",
              "        [-3.5312e-01,  1.3008e-01],\n",
              "        [-1.0786e-01, -5.5334e-02],\n",
              "        [-7.6384e-02, -2.5591e-03],\n",
              "        [-1.4620e-01,  8.9037e-02],\n",
              "        [-1.1937e-01,  1.6932e-01],\n",
              "        [-3.1934e-01,  1.4084e-01],\n",
              "        [-1.2350e-01,  2.5679e-01],\n",
              "        [-6.9205e-02, -9.4000e-02],\n",
              "        [-1.1838e-01,  1.1728e-01],\n",
              "        [-5.4087e-02, -1.2928e-01],\n",
              "        [ 1.2128e-01, -1.4864e-02],\n",
              "        [-9.3680e-02,  1.0279e-01],\n",
              "        [-8.3119e-02,  2.3411e-02],\n",
              "        [ 5.6903e-02,  1.7902e-02],\n",
              "        [-2.0005e-01,  1.9477e-01],\n",
              "        [-1.1462e-01, -2.4449e-01],\n",
              "        [-2.1322e-02, -1.7057e-01],\n",
              "        [ 1.8965e-02, -1.3460e-01],\n",
              "        [-6.5675e-02,  1.6290e-01],\n",
              "        [-1.0375e-01,  1.1705e-01],\n",
              "        [ 1.1942e-01,  9.4430e-02],\n",
              "        [ 5.8508e-02,  1.0426e-01],\n",
              "        [-1.1951e-01,  1.1649e-01],\n",
              "        [-1.8213e-01,  9.1017e-04],\n",
              "        [ 2.0780e-03,  6.0154e-02],\n",
              "        [-4.4961e-02,  6.4593e-02],\n",
              "        [ 1.1765e-01, -1.1689e-01],\n",
              "        [-2.0950e-01,  9.4516e-02],\n",
              "        [-1.8839e-01,  4.1303e-02],\n",
              "        [-1.7859e-03,  1.4443e-01],\n",
              "        [-1.1934e-01, -1.4004e-01],\n",
              "        [-3.4442e-02,  7.9470e-04],\n",
              "        [ 2.6034e-01, -2.8812e-01],\n",
              "        [-1.2752e-02, -7.8494e-02],\n",
              "        [-1.8511e-01, -1.3913e-02],\n",
              "        [ 1.0755e-01,  2.5486e-01],\n",
              "        [ 1.1528e-01, -1.7694e-01],\n",
              "        [-6.9110e-02,  8.0348e-02],\n",
              "        [-7.6637e-02,  1.1939e-02],\n",
              "        [ 1.4069e-02,  2.1032e-01],\n",
              "        [ 1.2890e-02,  6.7848e-02],\n",
              "        [-2.9998e-02,  1.1587e-01],\n",
              "        [-9.0824e-02, -6.3265e-02],\n",
              "        [-5.2401e-02,  8.0074e-02],\n",
              "        [ 7.9143e-02,  3.3082e-02],\n",
              "        [-9.2305e-02,  4.7321e-02],\n",
              "        [ 7.7829e-02,  3.7093e-02],\n",
              "        [-1.6728e-01,  2.5653e-01],\n",
              "        [-3.0810e-01,  2.9068e-02],\n",
              "        [ 8.9414e-03, -7.6315e-02],\n",
              "        [ 1.5110e-01, -5.7472e-03],\n",
              "        [ 1.4996e-01,  1.2015e-01],\n",
              "        [-4.7386e-02,  1.2167e-02],\n",
              "        [ 3.8622e-04, -3.3979e-02],\n",
              "        [-4.2770e-02,  1.1395e-01],\n",
              "        [ 1.7293e-01,  8.9961e-03],\n",
              "        [-6.5571e-02,  1.4692e-01],\n",
              "        [-8.2304e-02,  5.8954e-02],\n",
              "        [-2.0641e-02,  1.3190e-01],\n",
              "        [-6.6008e-02,  1.5276e-01],\n",
              "        [ 8.3905e-02, -2.7953e-01],\n",
              "        [ 1.8189e-01,  2.4923e-02],\n",
              "        [-8.1431e-02, -1.4561e-01],\n",
              "        [-1.4098e-02, -2.1963e-02],\n",
              "        [-8.7959e-02,  1.2822e-01],\n",
              "        [ 2.0665e-03, -2.7879e-02],\n",
              "        [-2.3375e-02,  1.5114e-01],\n",
              "        [-5.2186e-03,  1.9933e-01],\n",
              "        [ 1.3508e-01, -6.4460e-02],\n",
              "        [ 1.0121e-01,  2.2502e-01],\n",
              "        [-1.1810e-01,  1.0360e-01],\n",
              "        [-3.7031e-02, -3.1183e-01],\n",
              "        [-9.9459e-02,  4.0807e-03],\n",
              "        [-5.7553e-03,  9.1639e-02],\n",
              "        [-1.4863e-01,  1.1085e-01],\n",
              "        [ 1.0321e-01, -5.9577e-02],\n",
              "        [-1.6304e-01,  7.2559e-02],\n",
              "        [-2.1124e-01,  1.7963e-02],\n",
              "        [-4.1897e-01,  1.3344e-01]], grad_fn=<AddmmBackward0>)"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "predictions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PqmzZd4LrkrM"
      },
      "outputs": [],
      "source": [
        "learning_rate = 2e-5\n",
        "\n",
        "criterion = torch.nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N35e3MAbrkrN"
      },
      "outputs": [],
      "source": [
        "loss = criterion(predictions, labels)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o5H5qOf4rkrN",
        "outputId": "88c9251d-1aae-48df-de42-d0b1bc41339e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "tensor(0.6952, device='cuda:0', grad_fn=<NllLossBackward0>)"
            ]
          },
          "execution_count": 272,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "loss"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2xk3-L3vrkrN"
      },
      "source": [
        "##**5. Trainer**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_w8deMpMrkrN"
      },
      "outputs": [],
      "source": [
        "import time\n",
        "\n",
        "def train(model, optimizer, criterion, train_dataloader, epoch=0, log_interval=50):\n",
        "    model.train()\n",
        "    total_acc, total_count = 0, 0\n",
        "    losses = []\n",
        "    start_time = time.time()\n",
        "\n",
        "    for idx, (inputs, offsets, labels) in enumerate(train_dataloader):\n",
        "        optimizer.zero_grad()\n",
        "        predictions = model(inputs, offsets)\n",
        "\n",
        "        # compute loss\n",
        "        loss = criterion(predictions, labels)\n",
        "        losses.append(loss.item())\n",
        "\n",
        "        # backward\n",
        "        loss.backward()\n",
        "        torch.nn.utils.clip_grad_norm_(model.parameters(), 0.1)\n",
        "        optimizer.step()\n",
        "        total_acc += (predictions.argmax(1) == labels).sum().item()\n",
        "        total_count += labels.size(0)\n",
        "        if idx % log_interval == 0 and idx > 0:\n",
        "            elapsed = time.time() - start_time\n",
        "            print(\n",
        "                \"| epoch {:3d} | {:5d}/{:5d} batches \"\n",
        "                \"| accuracy {:8.3f}\".format(\n",
        "                    epoch, idx, len(train_dataloader), total_acc / total_count\n",
        "                )\n",
        "            )\n",
        "            total_acc, total_count = 0, 0\n",
        "            start_time = time.time()\n",
        "\n",
        "    epoch_acc = total_acc / total_count\n",
        "    epoch_loss = sum(losses) / len(losses)\n",
        "    return epoch_acc, epoch_loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oYfPqPCHrkrN",
        "outputId": "df3a401b-3ff2-4c59-88a9-420ecf0a9278"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "| epoch   0 |    25/  233 batches | accuracy    0.586\n",
            "| epoch   0 |    50/  233 batches | accuracy    0.568\n",
            "| epoch   0 |    75/  233 batches | accuracy    0.569\n",
            "| epoch   0 |   100/  233 batches | accuracy    0.570\n",
            "| epoch   0 |   125/  233 batches | accuracy    0.560\n",
            "| epoch   0 |   150/  233 batches | accuracy    0.566\n",
            "| epoch   0 |   175/  233 batches | accuracy    0.576\n",
            "| epoch   0 |   200/  233 batches | accuracy    0.579\n",
            "| epoch   0 |   225/  233 batches | accuracy    0.574\n"
          ]
        }
      ],
      "source": [
        "epoch_acc, epoch_loss = train(model, optimizer, criterion, train_dataloader)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "a9X0KkvbrkrN",
        "outputId": "db873b22-a20e-4983-c0fa-7260197193cb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(0.5955334987593052, 0.6800058698961151)"
            ]
          },
          "execution_count": 292,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "epoch_acc, epoch_loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hnzySNicrkrN"
      },
      "outputs": [],
      "source": [
        "def evaluate(model, criterion, valid_dataloader):\n",
        "    model.eval()\n",
        "    total_acc, total_count = 0, 0\n",
        "    losses = []\n",
        "\n",
        "    with torch.no_grad():\n",
        "        for idx, (inputs, offsets, labels) in enumerate(valid_dataloader):\n",
        "            predictions = model(inputs, offsets)\n",
        "            loss = criterion(predictions, labels)\n",
        "            losses.append(loss)\n",
        "            total_acc += (predictions.argmax(1) == labels).sum().item()\n",
        "            total_count += labels.size(0)\n",
        "\n",
        "    epoch_acc = total_acc / total_count\n",
        "    epoch_loss = sum(losses) / len(losses)\n",
        "    return epoch_acc, epoch_loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8SrvGy7IrkrN"
      },
      "outputs": [],
      "source": [
        "eval_acc, eval_loss = evaluate(model, criterion, valid_dataloader)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uXhewV1WrkrN",
        "outputId": "46851bf5-d939-4a2f-81a0-0117f5bde952"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(0.5742, tensor(0.6811, device='cuda:0'))"
            ]
          },
          "execution_count": 291,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "eval_acc, eval_loss"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gn8cMmQwrkrN"
      },
      "source": [
        "##**6. Training**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6wiGb67FrkrN",
        "outputId": "e7e25301-b9b8-43f1-fc16-55ba3dfc463f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "| epoch   1 |    50/  233 batches | accuracy    0.671\n",
            "| epoch   1 |   100/  233 batches | accuracy    0.806\n",
            "| epoch   1 |   150/  233 batches | accuracy    0.829\n",
            "| epoch   1 |   200/  233 batches | accuracy    0.837\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   1 | Time:  2.36s | Train Accuracy    0.853 | Train Loss    0.458 | Valid Accuracy    0.837 | Valid Loss    0.392 \n",
            "-----------------------------------------------------------\n",
            "| epoch   2 |    50/  233 batches | accuracy    0.853\n",
            "| epoch   2 |   100/  233 batches | accuracy    0.858\n",
            "| epoch   2 |   150/  233 batches | accuracy    0.862\n",
            "| epoch   2 |   200/  233 batches | accuracy    0.867\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   2 | Time:  2.39s | Train Accuracy    0.863 | Train Loss    0.358 | Valid Accuracy    0.843 | Valid Loss    0.378 \n",
            "-----------------------------------------------------------\n",
            "| epoch   3 |    50/  233 batches | accuracy    0.865\n",
            "| epoch   3 |   100/  233 batches | accuracy    0.868\n",
            "| epoch   3 |   150/  233 batches | accuracy    0.873\n",
            "| epoch   3 |   200/  233 batches | accuracy    0.876\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   3 | Time:  2.40s | Train Accuracy    0.868 | Train Loss    0.334 | Valid Accuracy    0.868 | Valid Loss    0.354 \n",
            "-----------------------------------------------------------\n",
            "| epoch   4 |    50/  233 batches | accuracy    0.882\n",
            "| epoch   4 |   100/  233 batches | accuracy    0.875\n",
            "| epoch   4 |   150/  233 batches | accuracy    0.885\n",
            "| epoch   4 |   200/  233 batches | accuracy    0.872\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   4 | Time:  2.87s | Train Accuracy    0.876 | Train Loss    0.323 | Valid Accuracy    0.876 | Valid Loss    0.347 \n",
            "-----------------------------------------------------------\n",
            "| epoch   5 |    50/  233 batches | accuracy    0.889\n",
            "| epoch   5 |   100/  233 batches | accuracy    0.884\n",
            "| epoch   5 |   150/  233 batches | accuracy    0.882\n",
            "| epoch   5 |   200/  233 batches | accuracy    0.878\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   5 | Time:  2.93s | Train Accuracy    0.880 | Train Loss    0.313 | Valid Accuracy    0.856 | Valid Loss    0.357 \n",
            "-----------------------------------------------------------\n",
            "| epoch   6 |    50/  233 batches | accuracy    0.883\n",
            "| epoch   6 |   100/  233 batches | accuracy    0.880\n",
            "| epoch   6 |   150/  233 batches | accuracy    0.886\n",
            "| epoch   6 |   200/  233 batches | accuracy    0.882\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   6 | Time:  2.51s | Train Accuracy    0.890 | Train Loss    0.308 | Valid Accuracy    0.873 | Valid Loss    0.344 \n",
            "-----------------------------------------------------------\n",
            "| epoch   7 |    50/  233 batches | accuracy    0.886\n",
            "| epoch   7 |   100/  233 batches | accuracy    0.895\n",
            "| epoch   7 |   150/  233 batches | accuracy    0.886\n",
            "| epoch   7 |   200/  233 batches | accuracy    0.881\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   7 | Time:  2.55s | Train Accuracy    0.877 | Train Loss    0.303 | Valid Accuracy    0.851 | Valid Loss    0.367 \n",
            "-----------------------------------------------------------\n",
            "| epoch   8 |    50/  233 batches | accuracy    0.882\n",
            "| epoch   8 |   100/  233 batches | accuracy    0.883\n",
            "| epoch   8 |   150/  233 batches | accuracy    0.886\n",
            "| epoch   8 |   200/  233 batches | accuracy    0.899\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   8 | Time:  2.49s | Train Accuracy    0.883 | Train Loss    0.298 | Valid Accuracy    0.872 | Valid Loss    0.352 \n",
            "-----------------------------------------------------------\n",
            "| epoch   9 |    50/  233 batches | accuracy    0.892\n",
            "| epoch   9 |   100/  233 batches | accuracy    0.892\n",
            "| epoch   9 |   150/  233 batches | accuracy    0.891\n",
            "| epoch   9 |   200/  233 batches | accuracy    0.881\n",
            "-----------------------------------------------------------\n",
            "| End of epoch   9 | Time:  3.14s | Train Accuracy    0.888 | Train Loss    0.295 | Valid Accuracy    0.854 | Valid Loss    0.364 \n",
            "-----------------------------------------------------------\n",
            "| epoch  10 |    50/  233 batches | accuracy    0.888\n",
            "| epoch  10 |   100/  233 batches | accuracy    0.886\n",
            "| epoch  10 |   150/  233 batches | accuracy    0.887\n",
            "| epoch  10 |   200/  233 batches | accuracy    0.894\n",
            "-----------------------------------------------------------\n",
            "| End of epoch  10 | Time:  2.75s | Train Accuracy    0.893 | Train Loss    0.291 | Valid Accuracy    0.862 | Valid Loss    0.358 \n",
            "-----------------------------------------------------------\n"
          ]
        }
      ],
      "source": [
        "num_class = len(set(train_df_vi['label']))\n",
        "vocab_size = len(vocabulary)\n",
        "embed_dim = 100\n",
        "model = TextClassificationModel(vocab_size, embed_dim, num_class).to(device)\n",
        "\n",
        "learning_rate = 5\n",
        "criterion = torch.nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate)\n",
        "\n",
        "num_epochs = 10\n",
        "for epoch in range(1, num_epochs+1):\n",
        "    epoch_start_time = time.time()\n",
        "    train_acc, train_loss = train(model, optimizer, criterion, train_dataloader, epoch)\n",
        "    eval_acc, eval_loss = evaluate(model, criterion, valid_dataloader)\n",
        "    print(\"-\" * 59)\n",
        "    print(\n",
        "        \"| End of epoch {:3d} | Time: {:5.2f}s | Train Accuracy {:8.3f} | Train Loss {:8.3f} \"\n",
        "        \"| Valid Accuracy {:8.3f} | Valid Loss {:8.3f} \".format(\n",
        "            epoch, time.time() - epoch_start_time, train_acc, train_loss, eval_acc, eval_loss\n",
        "        )\n",
        "    )\n",
        "    print(\"-\" * 59)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "az6L8nW_rkrN"
      },
      "source": [
        "##**7. Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9LrFrUplrkrN"
      },
      "outputs": [],
      "source": [
        "model = model.to('cpu')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "x3A8X6bfrkrN"
      },
      "outputs": [],
      "source": [
        "def predict(text):\n",
        "    with torch.no_grad():\n",
        "        encoded = torch.tensor(vocabulary(tokenizer(text)))\n",
        "        output = model(encoded, torch.tensor([0]))\n",
        "        return output.argmax(1).item()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sieLwBLtrkrN",
        "outputId": "e850d83a-dde0-4e6a-8d94-79375635f7ef"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "sentence               Tối đà lạt trời rất lạnh nên mình rất thích đi...\n",
              "label                                                                  1\n",
              "preprocess_sentence    tối đà lạt trời rất lạnh nên mình rất thích đi...\n",
              "Name: 0, dtype: object"
            ]
          },
          "execution_count": 63,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "test_df.iloc[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "t5fgiU4arkrO",
        "outputId": "559ece3f-ce12-4365-a25b-9452b8912c60"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "execution_count": 64,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "predict(test_df.iloc[0]['sentence'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iNLaRMtnrkrO",
        "outputId": "babfff75-bb94-4fca-9a7f-384ed1684ab7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(0.8673)"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ],
      "source": [
        "# compute accuracy on test set\n",
        "\n",
        "predictions, labels = [], []\n",
        "for index, row in test_df.iterrows():\n",
        "    sentence = row['preprocess_sentence']\n",
        "    label = row['label']\n",
        "    prediction = predict(sentence)\n",
        "    predictions.append(prediction)\n",
        "    labels.append(label)\n",
        "\n",
        "sum(torch.tensor(predictions) == torch.tensor(labels))/len(labels)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##**8. Compare: BoW, TF-IDF**"
      ],
      "metadata": {
        "id": "jv7NgrpJ5N9m"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "###**8.1. BoW**"
      ],
      "metadata": {
        "id": "Z7Yu4LaR7UrK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
      ],
      "metadata": {
        "id": "hstpLbj154hI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_labels = np.array(train_df_vi['label'].tolist())\n",
        "test_labels = np.array(test_df['label'].tolist())"
      ],
      "metadata": {
        "id": "4h6mAAFg52j2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "\n",
        "max_features = 10000\n",
        "vectorizer = CountVectorizer(max_features=max_features)\n",
        "\n",
        "train_sequences = vectorizer.fit_transform(train_df_vi['preprocess_sentence'])\n",
        "test_sequences = vectorizer.transform(test_df['preprocess_sentence'])\n",
        "vocab_size = len(vectorizer.vocabulary_)\n",
        "vocab_size"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hjIDlF505UuU",
        "outputId": "4a946797-da0a-472f-fbe6-adadf7faa447"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10000"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "\n",
        "logreg = LogisticRegression()\n",
        "logreg.fit(train_sequences, train_labels)"
      ],
      "metadata": {
        "id": "y2Ced26q5lTA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "logreg.score(test_sequences, test_labels)"
      ],
      "metadata": {
        "id": "gzF_IBu_6tLl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3b3f188c-ec00-451c-d947-33f630efd176"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8779"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###**8.2. TF-IDF**"
      ],
      "metadata": {
        "id": "cL16oFDP7Y6w"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "\n",
        "max_features = 10000\n",
        "tfidf_vectorizer = TfidfVectorizer(max_features=max_features)\n",
        "\n",
        "train_sequences = tfidf_vectorizer.fit_transform(train_df_vi['preprocess_sentence'])\n",
        "test_sequences = tfidf_vectorizer.transform(test_df['preprocess_sentence'])"
      ],
      "metadata": {
        "id": "o5LTXakq7cZ0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "\n",
        "logreg = LogisticRegression()\n",
        "logreg.fit(train_sequences, train_labels)"
      ],
      "metadata": {
        "id": "pB4Ah2Ht8t0f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "outputId": "5d2102cf-6836-4cb1-efcc-71ddbd84f24f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ],
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            ]
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