diff --git "a/preprocess_data.ipynb" "b/preprocess_data.ipynb"
deleted file mode 100644--- "a/preprocess_data.ipynb"
+++ /dev/null
@@ -1,3836 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "3kZD2vXl4MXU",
-        "outputId": "6c74a96a-46fe-4b49-ceb9-cac5582c45e5"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "/content/drive/MyDrive/QA_pt\n",
-            "Get:1 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
-            "Get:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease [3,626 B]\n",
-            "Ign:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
-            "Hit:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
-            "Hit:5 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n",
-            "Get:6 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease [15.9 kB]\n",
-            "Hit:7 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
-            "Get:8 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
-            "Hit:9 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
-            "Hit:10 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n",
-            "Get:11 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [83.3 kB]\n",
-            "Hit:12 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
-            "Get:13 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [1,226 kB]\n",
-            "Get:14 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [3,040 kB]\n",
-            "Get:16 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main Sources [2,213 kB]\n",
-            "Get:17 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main amd64 Packages [1,132 kB]\n",
-            "Get:18 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [3,472 kB]\n",
-            "Get:19 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [1,267 kB]\n",
-            "Fetched 12.6 MB in 5s (2,341 kB/s)\n",
-            "Reading package lists... Done\n",
-            "Building dependency tree       \n",
-            "Reading state information... Done\n",
-            "8 packages can be upgraded. Run 'apt list --upgradable' to see them.\n",
-            "Reading package lists... Done\n",
-            "Building dependency tree       \n",
-            "Reading state information... Done\n",
-            "The following package was automatically installed and is no longer required:\n",
-            "  libnvidia-common-460\n",
-            "Use 'apt autoremove' to remove it.\n",
-            "The following additional packages will be installed:\n",
-            "  aspell aspell-en dictionaries-common emacsen-common libaspell15\n",
-            "  libenchant1c2a libhunspell-1.6-0 libtext-iconv-perl\n",
-            "Suggested packages:\n",
-            "  aspell-doc spellutils wordlist hunspell libreoffice-writer libenchant-voikko\n",
-            "The following NEW packages will be installed:\n",
-            "  aspell aspell-en dictionaries-common emacsen-common enchant hunspell-pt-br\n",
-            "  libaspell15 libenchant-dev libenchant1c2a libhunspell-1.6-0\n",
-            "  libtext-iconv-perl\n",
-            "0 upgraded, 11 newly installed, 0 to remove and 8 not upgraded.\n",
-            "Need to get 2,359 kB of archives.\n",
-            "After this operation, 11.0 MB of additional disk space will be used.\n",
-            "Get:1 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtext-iconv-perl amd64 1.7-5build6 [13.0 kB]\n",
-            "Get:2 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libaspell15 amd64 0.60.7~20110707-4ubuntu0.2 [310 kB]\n",
-            "Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 emacsen-common all 2.0.8 [17.6 kB]\n",
-            "Get:4 http://archive.ubuntu.com/ubuntu bionic/main amd64 dictionaries-common all 1.27.2 [186 kB]\n",
-            "Get:5 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 aspell amd64 0.60.7~20110707-4ubuntu0.2 [87.7 kB]\n",
-            "Get:6 http://archive.ubuntu.com/ubuntu bionic/main amd64 aspell-en all 2017.08.24-0-0.1 [298 kB]\n",
-            "Get:7 http://archive.ubuntu.com/ubuntu bionic/main amd64 hunspell-pt-br all 1:6.0.3-3 [1,163 kB]\n",
-            "Get:8 http://archive.ubuntu.com/ubuntu bionic/main amd64 libhunspell-1.6-0 amd64 1.6.2-1 [154 kB]\n",
-            "Get:9 http://archive.ubuntu.com/ubuntu bionic/main amd64 libenchant1c2a amd64 1.6.0-11.1 [64.4 kB]\n",
-            "Get:10 http://archive.ubuntu.com/ubuntu bionic/main amd64 enchant amd64 1.6.0-11.1 [12.2 kB]\n",
-            "Get:11 http://archive.ubuntu.com/ubuntu bionic/main amd64 libenchant-dev amd64 1.6.0-11.1 [52.2 kB]\n",
-            "Fetched 2,359 kB in 1s (2,208 kB/s)\n",
-            "Preconfiguring packages ...\n",
-            "Selecting previously unselected package libtext-iconv-perl.\n",
-            "(Reading database ... 123941 files and directories currently installed.)\n",
-            "Preparing to unpack .../00-libtext-iconv-perl_1.7-5build6_amd64.deb ...\n",
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-            "Preparing to unpack .../01-libaspell15_0.60.7~20110707-4ubuntu0.2_amd64.deb ...\n",
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-            "Selecting previously unselected package emacsen-common.\n",
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-            "Selecting previously unselected package dictionaries-common.\n",
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-            "Adding 'diversion of /usr/share/dict/words to /usr/share/dict/words.pre-dictionaries-common by dictionaries-common'\n",
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-            "Unpacking aspell-en (2017.08.24-0-0.1) ...\n",
-            "Selecting previously unselected package hunspell-pt-br.\n",
-            "Preparing to unpack .../06-hunspell-pt-br_1%3a6.0.3-3_all.deb ...\n",
-            "Unpacking hunspell-pt-br (1:6.0.3-3) ...\n",
-            "Selecting previously unselected package libhunspell-1.6-0:amd64.\n",
-            "Preparing to unpack .../07-libhunspell-1.6-0_1.6.2-1_amd64.deb ...\n",
-            "Unpacking libhunspell-1.6-0:amd64 (1.6.2-1) ...\n",
-            "Selecting previously unselected package libenchant1c2a:amd64.\n",
-            "Preparing to unpack .../08-libenchant1c2a_1.6.0-11.1_amd64.deb ...\n",
-            "Unpacking libenchant1c2a:amd64 (1.6.0-11.1) ...\n",
-            "Selecting previously unselected package enchant.\n",
-            "Preparing to unpack .../09-enchant_1.6.0-11.1_amd64.deb ...\n",
-            "Unpacking enchant (1.6.0-11.1) ...\n",
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-            "Preparing to unpack .../10-libenchant-dev_1.6.0-11.1_amd64.deb ...\n",
-            "Unpacking libenchant-dev (1.6.0-11.1) ...\n",
-            "Setting up libhunspell-1.6-0:amd64 (1.6.2-1) ...\n",
-            "Setting up libaspell15:amd64 (0.60.7~20110707-4ubuntu0.2) ...\n",
-            "Setting up emacsen-common (2.0.8) ...\n",
-            "Setting up libtext-iconv-perl (1.7-5build6) ...\n",
-            "Setting up dictionaries-common (1.27.2) ...\n",
-            "Setting up hunspell-pt-br (1:6.0.3-3) ...\n",
-            "Setting up aspell (0.60.7~20110707-4ubuntu0.2) ...\n",
-            "Setting up libenchant1c2a:amd64 (1.6.0-11.1) ...\n",
-            "Setting up aspell-en (2017.08.24-0-0.1) ...\n",
-            "Setting up enchant (1.6.0-11.1) ...\n",
-            "Setting up libenchant-dev (1.6.0-11.1) ...\n",
-            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
-            "Processing triggers for libc-bin (2.27-3ubuntu1.6) ...\n",
-            "Processing triggers for dictionaries-common (1.27.2) ...\n",
-            "aspell-autobuildhash: processing: en [en-common].\n",
-            "aspell-autobuildhash: processing: en [en-variant_0].\n",
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-            "aspell-autobuildhash: processing: en [en_GB-variant_1].\n",
-            "aspell-autobuildhash: processing: en [en_US-w_accents-only].\n",
-            "aspell-autobuildhash: processing: en [en_US-wo_accents-only].\n",
-            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
-            "Collecting pyenchant\n",
-            "  Downloading pyenchant-3.2.2-py3-none-any.whl (55 kB)\n",
-            "\u001b[K     |████████████████████████████████| 55 kB 2.2 MB/s \n",
-            "\u001b[?25hCollecting datasets\n",
-            "  Downloading datasets-2.6.1-py3-none-any.whl (441 kB)\n",
-            "\u001b[K     |████████████████████████████████| 441 kB 9.4 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from datasets) (1.21.6)\n",
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-            "Collecting xxhash\n",
-            "  Downloading xxhash-3.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212 kB)\n",
-            "\u001b[K     |████████████████████████████████| 212 kB 47.8 MB/s \n",
-            "\u001b[?25hCollecting huggingface-hub<1.0.0,>=0.2.0\n",
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-            "\u001b[?25hRequirement already satisfied: fsspec[http]>=2021.11.1 in /usr/local/lib/python3.7/dist-packages (from datasets) (2022.10.0)\n",
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-            "\u001b[?25hRequirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.7/dist-packages (from datasets) (2.23.0)\n",
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-            "Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1\n",
-            "  Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB)\n",
-            "\u001b[K     |████████████████████████████████| 127 kB 54.2 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->datasets) (3.10.0)\n",
-            "Collecting multiprocess\n",
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-            "\u001b[K     |████████████████████████████████| 115 kB 55.2 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2022.5)\n",
-            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2.8.2)\n",
-            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n",
-            "Installing collected packages: urllib3, dill, xxhash, responses, multiprocess, huggingface-hub, pyenchant, datasets\n",
-            "  Attempting uninstall: urllib3\n",
-            "    Found existing installation: urllib3 1.24.3\n",
-            "    Uninstalling urllib3-1.24.3:\n",
-            "      Successfully uninstalled urllib3-1.24.3\n",
-            "  Attempting uninstall: dill\n",
-            "    Found existing installation: dill 0.3.6\n",
-            "    Uninstalling dill-0.3.6:\n",
-            "      Successfully uninstalled dill-0.3.6\n",
-            "Successfully installed datasets-2.6.1 dill-0.3.5.1 huggingface-hub-0.10.1 multiprocess-0.70.13 pyenchant-3.2.2 responses-0.18.0 urllib3-1.25.11 xxhash-3.1.0\n"
-          ]
-        }
-      ],
-      "source": [
-        "workdir = \"/content/drive/MyDrive/QA_pt\"\n",
-        "%mkdir {workdir}\n",
-        "!export HF_DATASETS_CACHE=\"{workdir}/cache_huggingface\"\n",
-        "\n",
-        "cache_dir=f\"{workdir}/cache_huggingface\"\n",
-        "\n",
-        "%cd {workdir}\n",
-        "\n",
-        "!apt update -y\n",
-        "!apt install -y enchant libenchant-dev  hunspell-pt-br\n",
-        "!pip install pyenchant datasets pycountry"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "cl0mVatz7EIo"
-      },
-      "outputs": [],
-      "source": [
-        "from datasets import load_dataset\n",
-        "import enchant\n",
-        "import re\n",
-        "\n",
-        "def is_portuguese(text: str) -> bool:\n",
-        "  words = re.split(r'\\s', text)\n",
-        "  words = [w for w in words if w.isalpha()]\n",
-        "  pt_words = [w for w in words if spell.check(w)]\n",
-        "\n",
-        "  return len(pt_words) >= 3\n",
-        "\n",
-        "spell = enchant.Dict(\"pt_BR\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 363,
-          "referenced_widgets": [
-            "39519ff2453c440ba6e82b6eb79e16c5",
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-            "5a58cd791fc2485dbbbe6237fa6d5fd6",
-            "6c172d851a8f4a3a9724cd3857280678",
-            "22d8500e60ef47c1a96530eb72d9cd61",
-            "70d042af273c4ac6a5c02bec875bd69d",
-            "87c1586197ff420dbafde5bd872d2459",
-            "7a4cb950b4a842d6b9e8a325dfc777c3",
-            "d20d2b8e4d334963826f86aec167b2cb",
-            "ef313f6dc35f4fef97b38f8dbb032ceb",
-            "da700f026a894b249a0a29cde51eeb5a",
-            "47843bdedddd498db3d5074ef939dd83",
-            "b9b92087f5b1405eba29551f7dc32a0f",
-            "9650446ad3674ceeac52e0668f43053b",
-            "a97981e290974c078e7ffae855cf952d",
-            "1d7539b118884f7bb33f9bbf4af7ee5e",
-            "ddbca05e6c394081959293618a7bc6d9",
-            "346b724e17044100836e0e6f90b8a697",
-            "13913324db1d48f9a35936dec2382937",
-            "21bfd3d878614d6e93f8263e9cbe7146",
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-            "5e18bed5622e4a75b11583c6d445f2c7",
-            "74136fb55b334458b283b87a2d6ed1a8",
-            "f77e5deb9d434b0eb7ba65b8702ac1ad",
-            "7e5e142ca2f041fa9b0493d4e34b0723",
-            "a3f69bba949a4057bdd7bb37bdac4448",
-            "d8c7a6775dbb43c69de391e6437b4a6d",
-            "3bf46651b667460caa0a50a70f242d5d",
-            "772667b7753046459edb66e41607adfa",
-            "19039359d80840449890df08547f708e",
-            "c3c74690294d4681bdd9bb5e3eb93b40",
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-        },
-        "id": "LiFfjiC94FeE",
-        "outputId": "2492824c-caaa-4b82-ab06-8893f3371171"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "WARNING:datasets.builder:Using custom data configuration pt-all-question-language=pt\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Downloading and preparing dataset mqa/pt-all-question to /content/drive/MyDrive/QA_pt/cache_huggingface/clips___mqa/pt-all-question-language=pt/0.0.0/7eda4cdcbd6f009259fc516f204d776915a5f54ea2ad414c3dcddfaacd4dfe0b...\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "39519ff2453c440ba6e82b6eb79e16c5",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Downloading data:   0%|          | 0.00/863M [00:00<?, ?B/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "da700f026a894b249a0a29cde51eeb5a",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Downloading data:   0%|          | 0.00/191M [00:00<?, ?B/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "5e18bed5622e4a75b11583c6d445f2c7",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Generating train split: 0 examples [00:00, ? examples/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Dataset mqa downloaded and prepared to /content/drive/MyDrive/QA_pt/cache_huggingface/clips___mqa/pt-all-question-language=pt/0.0.0/7eda4cdcbd6f009259fc516f204d776915a5f54ea2ad414c3dcddfaacd4dfe0b. Subsequent calls will reuse this data.\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "b6a6ae9b1168400a9556747472e4969d",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "  0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "WARNING:datasets.builder:Using custom data configuration pt-faq-question-language=pt,scope=faq\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Downloading and preparing dataset mqa/pt-faq-question to /content/drive/MyDrive/QA_pt/cache_huggingface/clips___mqa/pt-faq-question-language=pt,scope=faq/0.0.0/7eda4cdcbd6f009259fc516f204d776915a5f54ea2ad414c3dcddfaacd4dfe0b...\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "15a3c38d5ce746218936bb7161b212f3",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Generating train split: 0 examples [00:00, ? examples/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Dataset mqa downloaded and prepared to /content/drive/MyDrive/QA_pt/cache_huggingface/clips___mqa/pt-faq-question-language=pt,scope=faq/0.0.0/7eda4cdcbd6f009259fc516f204d776915a5f54ea2ad414c3dcddfaacd4dfe0b. Subsequent calls will reuse this data.\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "17459dc7bc434fa982d9e72dbc2e0035",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "  0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "WARNING:datasets.builder:Using custom data configuration pt-cqa-question-language=pt,scope=cqa\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Downloading and preparing dataset mqa/pt-cqa-question to /content/drive/MyDrive/QA_pt/cache_huggingface/clips___mqa/pt-cqa-question-language=pt,scope=cqa/0.0.0/7eda4cdcbd6f009259fc516f204d776915a5f54ea2ad414c3dcddfaacd4dfe0b...\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "578699de768744719bc4a2c577027442",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Generating train split: 0 examples [00:00, ? examples/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Dataset mqa downloaded and prepared to /content/drive/MyDrive/QA_pt/cache_huggingface/clips___mqa/pt-cqa-question-language=pt,scope=cqa/0.0.0/7eda4cdcbd6f009259fc516f204d776915a5f54ea2ad414c3dcddfaacd4dfe0b. Subsequent calls will reuse this data.\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "04b5ab0c6c254d428cce47096ca8c6cf",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "  0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "all_data = load_dataset(\"clips/mqa\", language=\"pt\", cache_dir=cache_dir)\n",
-        "filtered_data = all_data.filter(lambda example: '?' in example['name'] and is_portuguese(example['name']))"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
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-        "id": "6QWGmWErmiKF",
-        "outputId": "8c230dfa-4b10-48da-e112-05c3c5f1e763"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "8e6e5d2885c743f7bbe30211f5a83eb8",
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-              "version_minor": 0
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-            "text/plain": [
-              "  0%|          | 0/5477 [00:00<?, ?ba/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "COLUMNS = [\n",
-        "    'id',\n",
-        "    'domain',\n",
-        "    'bucket',\n",
-        "    'question_title',\n",
-        "    'question_text',\n",
-        "    'answer_title',\n",
-        "    'answer_text',\n",
-        "    'is_accepted',\n",
-        "]\n",
-        "\n",
-        "def format(data):\n",
-        "  prepro_data = {column: list() for column in COLUMNS}\n",
-        "\n",
-        "  for question_idx in range(len(data['id'])):\n",
-        "\n",
-        "    for answer_idx, answer in enumerate(data['answers'][question_idx]):\n",
-        "      prepro_data['id'].append(data['id'][question_idx] + '-' + str(answer_idx))\n",
-        "\n",
-        "\n",
-        "      for column in ['domain', 'bucket']:\n",
-        "        prepro_data[column].append(data[column][question_idx])\n",
-        "\n",
-        "      prepro_data['question_title'].append(data['name'][question_idx])\n",
-        "      prepro_data['question_text'].append(data['text'][question_idx])\n",
-        "      prepro_data['answer_title'].append(answer['name'])\n",
-        "      prepro_data['answer_text'].append(answer['text'])\n",
-        "      prepro_data['is_accepted'].append(answer['is_accepted'])\n",
-        "  \n",
-        "  return prepro_data\n",
-        "\n",
-        "prepro_data = filtered_data.map(\n",
-        "    format,\n",
-        "    batched=True,\n",
-        "    remove_columns=[\n",
-        "        'text',\n",
-        "        'name',\n",
-        "        'answers',\n",
-        "    ]\n",
-        ")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import pycountry\n",
-        "\n",
-        "PT_COUNTRIES =  [\n",
-        "    'brazil',\n",
-        "    'portugal',\n",
-        "    'angola',\n",
-        "    'cabo verde',\n",
-        "    'guinea-bissau',\n",
-        "    'mozambique',\n",
-        "    'timor-leste'\n",
-        "]\n",
-        "\n",
-        "def is_portuguese(domain):\n",
-        "    end = domain.split('.')[-1]\n",
-        "\n",
-        "    if len(end) != 2:\n",
-        "        return True\n",
-        "\n",
-        "    language = pycountry.countries.get(alpha_2=end)\n",
-        "\n",
-        "    if not language:\n",
-        "        return True\n",
-        "\n",
-        "    return language.name.lower() in PT_COUNTRIES\n",
-        "\n",
-        "prepro_data = prepro_data.filter(lambda examples: is_portuguese(examples['domain'])) "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "-wwtYLlR8vpH"
-      },
-      "outputs": [],
-      "source": [
-        "prepro_data.save_to_disk('prepro_data')"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "dqYa1-Z37Joo"
-      },
-      "outputs": [],
-      "source": [
-        "df = prepro_data['train'].to_pandas()\n",
-        "df.to_csv('QA_PT.tsv', sep='\\t', index=None)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "jIQYY09nfGo2",
-        "outputId": "99da26af-a218-4dec-dad7-5c65814c606e"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[0m\u001b[01;34mcache_huggingface\u001b[0m/  \u001b[01;34mprepro_data\u001b[0m/  QA_PT.tsv\n"
-          ]
-        }
-      ],
-      "source": [
-        "%ls"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "with open('QA_PT.tsv', 'r') as f:\n",
-        "    data = f.read()\n",
-        "\n",
-        "data = data.replace('\\r', '')\n",
-        "\n",
-        "with open('QA_PT.tsv', 'w') as f:\n",
-        "    f.write(data)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "hG5SKkFJeokt",
-        "outputId": "68d4eb12-7917-45ba-db9e-12eb964818a2"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:3326: DtypeWarning: Columns (4,5) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-            "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
-          ]
-        }
-      ],
-      "source": [
-        "import pandas as pd\n",
-        "\n",
-        "df = pd.read_table('QA_PT.tsv')\n",
-        "df.fillna('-', inplace=True)\n",
-        "df.to_csv('train.tsv', index=None, sep='\\t')"
-      ]
-    }
-  ],
-  "metadata": {
-    "colab": {
-      "collapsed_sections": [],
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
-    },
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-      "name": "python"
-    },
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