data_download.ipynb

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   "metadata": {
    "executionInfo": {
     "elapsed": 4,
     "status": "ok",
     "timestamp": 1684097725281,
     "user": {
      "displayName": "Egehan Yorulmaz",
      "userId": "13356995240074227245"
     },
     "user_tz": 300
    },
    "id": "FzLaTpa8C3XP"
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "executionInfo": {
     "elapsed": 9,
     "status": "ok",
     "timestamp": 1684098263241,
     "user": {
      "displayName": "Egehan Yorulmaz",
      "userId": "13356995240074227245"
     },
     "user_tz": 300
    },
    "id": "lvOknZc6D-xx"
   },
   "outputs": [],
   "source": [
    "%mkdir .kaggle\n",
    "%cp \"kaggle.json\" -d .kaggle/kaggle.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting kaggle\n",
      "  Downloading kaggle-1.5.13.tar.gz (63 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.3/63.3 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: six>=1.10 in /opt/conda/lib/python3.10/site-packages (from kaggle) (1.16.0)\n",
      "Requirement already satisfied: certifi in /opt/conda/lib/python3.10/site-packages (from kaggle) (2022.12.7)\n",
      "Requirement already satisfied: python-dateutil in /opt/conda/lib/python3.10/site-packages (from kaggle) (2.8.2)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from kaggle) (2.28.2)\n",
      "Requirement already satisfied: tqdm in /opt/conda/lib/python3.10/site-packages (from kaggle) (4.64.1)\n",
      "Collecting python-slugify (from kaggle)\n",
      "  Downloading python_slugify-8.0.1-py2.py3-none-any.whl (9.7 kB)\n",
      "Requirement already satisfied: urllib3 in /opt/conda/lib/python3.10/site-packages (from kaggle) (1.26.15)\n",
      "Collecting text-unidecode>=1.3 (from python-slugify->kaggle)\n",
      "  Downloading text_unidecode-1.3-py2.py3-none-any.whl (78 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.2/78.2 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests->kaggle) (2.1.1)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->kaggle) (3.4)\n",
      "Building wheels for collected packages: kaggle\n",
      "  Building wheel for kaggle (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for kaggle: filename=kaggle-1.5.13-py3-none-any.whl size=77717 sha256=50bd3d80ae05fcb360390ca75cecb3b312743a45c5ca6485a4ffd8365e66f59f\n",
      "  Stored in directory: /home/jupyter/.cache/pip/wheels/f3/16/ff/34e7d368370d4fd68bb749a59f1d2639ed66f3c14358e340a1\n",
      "Successfully built kaggle\n",
      "Installing collected packages: text-unidecode, python-slugify, kaggle\n",
      "Successfully installed kaggle-1.5.13 python-slugify-8.0.1 text-unidecode-1.3\n"
     ]
    }
   ],
   "source": [
    "!pip install kaggle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 127376,
     "status": "ok",
     "timestamp": 1684098263240,
     "user": {
      "displayName": "Egehan Yorulmaz",
      "userId": "13356995240074227245"
     },
     "user_tz": 300
    },
    "id": "T7HbWNRqC8h2",
    "outputId": "f4721137-90a9-4dc4-d8be-768a4d6b487c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Your Kaggle API key is readable by other users on this system! To fix this, you can run 'chmod 600 /home/jupyter/.kaggle/kaggle.json'\n",
      "Downloading facebook-hateful-meme-dataset.zip to /home/jupyter\n",
      " 99%|██████████████████████████████████████▋| 3.33G/3.35G [00:13<00:00, 266MB/s]\n",
      "100%|███████████████████████████████████████| 3.35G/3.35G [00:13<00:00, 264MB/s]\n"
     ]
    }
   ],
   "source": [
    "!kaggle datasets download -d parthplc/facebook-hateful-meme-dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "executionInfo": {
     "elapsed": 5,
     "status": "ok",
     "timestamp": 1684098770641,
     "user": {
      "displayName": "Egehan Yorulmaz",
      "userId": "13356995240074227245"
     },
     "user_tz": 300
    },
    "id": "aE9iUR6yC8cm"
   },
   "outputs": [],
   "source": [
    "# %unzip facebook-hateful-meme-dataset.zip -d \"/content/drive/MyDrive/Machine Learning/Final_Project/\"\n",
    "!unzip -q facebook-hateful-meme-dataset.zip -d \"hateful-meme-detection/\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "provenance": []
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   "name": "tf2-gpu.2-11.m108",
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   "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-11:m108"
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