{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install -q datasets"
      ],
      "metadata": {
        "id": "2qqQTNJwG9nq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!huggingface-cli login --token toooooookeeeeeen"
      ],
      "metadata": {
        "id": "zX5wF0ckFDgp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0hetyPDEExaQ"
      },
      "outputs": [],
      "source": [
        "!curl --remote-name-all https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-3195/lscp-0.5-fa-cs.7z\n",
        "!7z -y e \"lscp-0.5-fa-cs.7z\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "df = pd.read_csv(\"lscp-0.5-fa-cs.txt\", sep=\"@@@@\" ,names=[ 'text'])"
      ],
      "metadata": {
        "id": "UK7MZn5_E1Vg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.iloc[0:10]"
      ],
      "metadata": {
        "id": "06_9eulXE3KC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['text'][:10].to_csv(\"1111lscptest.csv\",index=False)"
      ],
      "metadata": {
        "id": "sToNTy_AIgoD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.dropna()"
      ],
      "metadata": {
        "id": "--Op1EQnVuPO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fa_token = ['ا','ل','ر','م','ن','و','د','ب','ت','س',\n",
        "                  'ی','ه','ع','ح','ف','ش','ق','ج','ز','خ','ک','ص',\n",
        "                  'ط','أ','گ','پ','غ','ض','آ','ئ','ث','چ','ظ']\n",
        "\n",
        "def isfarsi(x):\n",
        "    if x[0] in fa_token or x[-1] in fa_token:\n",
        "        return True\n",
        "    else:\n",
        "        return False\n",
        "\n",
        "#cf = pd.read_csv(\"/content/1111lscptest.csv\" ,names=[ 'text'])\n",
        "df['isfarsi'] = df['text'].apply(isfarsi)\n",
        "df.iloc[:100]"
      ],
      "metadata": {
        "id": "4qpDuUv7VvUX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "id": "q1JeSfj8ZJkX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "newdf = df[(df.isfarsi == True)]\n",
        "newdf.describe()"
      ],
      "metadata": {
        "id": "usQLQBIiZC6u"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "newdf.dropna()\n",
        "newdf['text'][:6000000].to_csv(\"lscptrain.csv\" , index=False)\n",
        "newdf['text'][6000000:].to_csv(\"lscptest.csv\" , index=False)"
      ],
      "metadata": {
        "id": "Lr0DiXJ3E5M0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "dataset = load_dataset(\"csv\", data_files={\"train\": [\"/content/lscptrain.csv\"], \"test\": \"/content/lscptest.csv\"})"
      ],
      "metadata": {
        "id": "4p9yKtoBE7pc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.push_to_hub(\"Aleereza/lscp\")"
      ],
      "metadata": {
        "id": "zHtP2IqdE9qk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "dataset = load_dataset( \"Aleereza/lscp\", split=\"train\")"
      ],
      "metadata": {
        "id": "ZQl1AmokE_Oa"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}