{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "U72jF6K6AC92",
    "outputId": "3692fe79-c0c7-4380-934f-43b5aaa68ebf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-03-04 19:01:37--  https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz\n",
      "Resolving github.com (github.com)... 20.27.177.113\n",
      "Connecting to github.com (github.com)|20.27.177.113|:443... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/192321366/5adcdd00-913c-11e9-9e9e-a768caa705c0?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230304%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230304T190137Z&X-Amz-Expires=300&X-Amz-Signature=b5a00d09ab985700a108c0e1628a3eb0180cc28f5a562621c94e46c8c4d358e8&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=192321366&response-content-disposition=attachment%3B%20filename%3Dtlc_v.2.0.tar.gz&response-content-type=application%2Foctet-stream [following]\n",
      "--2023-03-04 19:01:37--  https://objects.githubusercontent.com/github-production-release-asset-2e65be/192321366/5adcdd00-913c-11e9-9e9e-a768caa705c0?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230304%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230304T190137Z&X-Amz-Expires=300&X-Amz-Signature=b5a00d09ab985700a108c0e1628a3eb0180cc28f5a562621c94e46c8c4d358e8&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=192321366&response-content-disposition=attachment%3B%20filename%3Dtlc_v.2.0.tar.gz&response-content-type=application%2Foctet-stream\n",
      "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.109.133, 185.199.108.133, 185.199.111.133, ...\n",
      "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.109.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 5551710 (5.3M) [application/octet-stream]\n",
      "Saving to: ‘tlc_v.2.0.tar.gz’\n",
      "\n",
      "tlc_v.2.0.tar.gz    100%[===================>]   5.29M  --.-KB/s    in 0.1s    \n",
      "\n",
      "2023-03-04 19:01:38 (53.2 MB/s) - ‘tlc_v.2.0.tar.gz’ saved [5551710/5551710]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Ogciys7pAE3u"
   },
   "outputs": [],
   "source": [
    "!tar -xf tlc_v.2.0.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "qoy2tyfg-pce"
   },
   "outputs": [],
   "source": [
    "import glob\n",
    "\n",
    "data = []\n",
    "for i in glob.glob(\"*.json\"):\n",
    "    with open(i, \"r\", encoding=\"utf-8-sig\") as f:\n",
    "        data.extend(eval(f.read()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "B61fvOL3-mYw"
   },
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "6XuoRZFe-8vw"
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame.from_dict(\n",
    "    {\n",
    "        \"TEXT\": [\"\\n\".join([\"\".join(i) for i in j[\"text\"]]) for j in data],\n",
    "        \"SOURCE\": [\"tlc v.2.0\" for i in range(0, len(data))],\n",
    "        \"METADATA\": [{\"ch_num\": j[\"ch_num\"], \"title\": j[\"title\"]} for j in data],\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 424
    },
    "id": "zcySJ8jZ_mGI",
    "outputId": "6a51b406-2a2f-4e67-965b-f4e457df0344"
   },
   "outputs": [
    {
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       "      <td>๏ นพพระไตรรัตน์ทั้ง\\tเทพประทาน โลกย์เอย\\nอีกเอ...</td>\n",
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       "      <td>๏ เมื่อนั้น\\tทังหกให้คิดฤษยา\\nต่างซุบซิบกันจำน...</td>\n",
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       "      <th>2</th>\n",
       "      <td>๏ มาจะกล่าวบทไป\\tถึงท้าวสหัสไนยโกสีย์\\nให้ร้อน...</td>\n",
       "      <td>tlc v.2.0</td>\n",
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       "      <td>๏ ท่านเจ้าพระยามหินทรเคาซิลลอ\\tออกหน้าหอขนพองส...</td>\n",
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       "      <th>4</th>\n",
       "      <td>๏ มาจะกล่าวบทไป\\tถึงสี่องค์ทรงธรรม์นาถา\\nเป็นห...</td>\n",
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       "      <th>...</th>\n",
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       "      <td>tlc v.2.0</td>\n",
       "      <td>{'ch_num': '๒', 'title': 'ตอนที่ ๒ พระไชยเชฐตา...</td>\n",
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       "      <th>357</th>\n",
       "      <td>๏ เมื่อนั้น\\tท่านท้าวสิงหฬยักษา\\nอุ้มองค์พระรา...</td>\n",
       "      <td>tlc v.2.0</td>\n",
       "      <td>{'ch_num': '๓', 'title': 'ตอนที่ ๓ พระไชยเชฐเข...</td>\n",
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       "      <th>358</th>\n",
       "      <td>๏ เมื่อนั้น\\tท่านท้าวสิงหฬยักษา\\nเห็นลูกเขยหน้...</td>\n",
       "      <td>tlc v.2.0</td>\n",
       "      <td>{'ch_num': '๔', 'title': 'ตอนที่ ๔ อภิเศกพระไช...</td>\n",
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       "      <th>359</th>\n",
       "      <td>๏ เมื่อนั้น\\tนวลนางพิกุลทองกัลยา\\nเป็นบุตรท้าว...</td>\n",
       "      <td>tlc v.2.0</td>\n",
       "      <td>{'ch_num': '๑', 'title': 'บทละครนอก เรื่องพิกุ...</td>\n",
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       "      <th>360</th>\n",
       "      <td>๏ เมื่อนั้น\\tนางจันทรเทวีศรีใส\\nอินทรามาเข้าดล...</td>\n",
       "      <td>tlc v.2.0</td>\n",
       "      <td>{'ch_num': '๑', 'title': 'พระราชนิพนธ์เรื่องมณ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>361 rows × 3 columns</p>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-07a973bd-035d-4265-9f90-fb697b324adb')\"\n",
       "              title=\"Convert this dataframe to an interactive table.\"\n",
       "              style=\"display:none;\">\n",
       "        \n",
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       "    .colab-df-convert {\n",
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       "\n",
       "    .colab-df-convert:hover {\n",
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       "\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",
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       "\n",
       "      <script>\n",
       "        const buttonEl =\n",
       "          document.querySelector('#df-07a973bd-035d-4265-9f90-fb697b324adb button.colab-df-convert');\n",
       "        buttonEl.style.display =\n",
       "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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       "        async function convertToInteractive(key) {\n",
       "          const element = document.querySelector('#df-07a973bd-035d-4265-9f90-fb697b324adb');\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",
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       "          docLink.innerHTML = docLinkHtml;\n",
       "          element.appendChild(docLink);\n",
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       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "                                                  TEXT     SOURCE  \\\n",
       "0    ๏ นพพระไตรรัตน์ทั้ง\\tเทพประทาน โลกย์เอย\\nอีกเอ...  tlc v.2.0   \n",
       "1    ๏ เมื่อนั้น\\tทังหกให้คิดฤษยา\\nต่างซุบซิบกันจำน...  tlc v.2.0   \n",
       "2    ๏ มาจะกล่าวบทไป\\tถึงท้าวสหัสไนยโกสีย์\\nให้ร้อน...  tlc v.2.0   \n",
       "3    ๏ ท่านเจ้าพระยามหินทรเคาซิลลอ\\tออกหน้าหอขนพองส...  tlc v.2.0   \n",
       "4    ๏ มาจะกล่าวบทไป\\tถึงสี่องค์ทรงธรรม์นาถา\\nเป็นห...  tlc v.2.0   \n",
       "..                                                 ...        ...   \n",
       "356  ๏ เมื่อนั้น\\tฝ่ายท้าวธรรมึกเปนใหญ่\\nแต่ละห้อยค...  tlc v.2.0   \n",
       "357  ๏ เมื่อนั้น\\tท่านท้าวสิงหฬยักษา\\nอุ้มองค์พระรา...  tlc v.2.0   \n",
       "358  ๏ เมื่อนั้น\\tท่านท้าวสิงหฬยักษา\\nเห็นลูกเขยหน้...  tlc v.2.0   \n",
       "359  ๏ เมื่อนั้น\\tนวลนางพิกุลทองกัลยา\\nเป็นบุตรท้าว...  tlc v.2.0   \n",
       "360  ๏ เมื่อนั้น\\tนางจันทรเทวีศรีใส\\nอินทรามาเข้าดล...  tlc v.2.0   \n",
       "\n",
       "                                              METADATA  \n",
       "0    {'ch_num': '๑', 'title': 'หน้าต้น นิราศเมืองหล...  \n",
       "1    {'ch_num': '๑', 'title': 'ตอนที่ ๑ สังข์ศิลป์ไ...  \n",
       "2    {'ch_num': '๒', 'title': 'ตอนที่ ๒ ท้าวเสนากุฎ...  \n",
       "3            {'ch_num': '๑', 'title': 'นิราศหนองคาย\n",
       "'}  \n",
       "4                        {'ch_num': '๑', 'title': '๑'}  \n",
       "..                                                 ...  \n",
       "356  {'ch_num': '๒', 'title': 'ตอนที่ ๒ พระไชยเชฐตา...  \n",
       "357  {'ch_num': '๓', 'title': 'ตอนที่ ๓ พระไชยเชฐเข...  \n",
       "358  {'ch_num': '๔', 'title': 'ตอนที่ ๔ อภิเศกพระไช...  \n",
       "359  {'ch_num': '๑', 'title': 'บทละครนอก เรื่องพิกุ...  \n",
       "360  {'ch_num': '๑', 'title': 'พระราชนิพนธ์เรื่องมณ...  \n",
       "\n",
       "[361 rows x 3 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "_Yvbohvr_qzi"
   },
   "outputs": [],
   "source": [
    "df.to_parquet(\"dataset.parquet\", row_group_size=100, engine=\"pyarrow\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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     "height": 138,
     "referenced_widgets": [
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      "4392b6d5dcd642bea15f913bd4871e22",
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      "93c05ee6b6424ae780093d54c2d3d239"
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    },
    "id": "yP9XOKQxCxsr",
    "outputId": "52f0cec4-b92b-43ac-f1d3-6fb5100ec098"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading and preparing dataset parquet/default to /root/.cache/huggingface/datasets/parquet/default-1f6c57fdd492602d/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
     ]
    },
    {
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       "Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"
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       "Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"
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       "Generating train split: 0 examples [00:00, ? examples/s]"
      ]
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     "text": [
      "Dataset parquet downloaded and prepared to /root/.cache/huggingface/datasets/parquet/default-1f6c57fdd492602d/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
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   "source": [
    "from datasets import Dataset\n",
    "\n",
    "ds = Dataset.from_parquet(\"dataset.parquet\")"
   ]
  },
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    "outputId": "d50c2d13-fa23-477c-fe33-ea2e63002ff1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset({\n",
       "    features: ['TEXT', 'SOURCE', 'METADATA'],\n",
       "    num_rows: 361\n",
       "})"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
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   ],
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