Longformer-Spectral-TMDB-360-120-KeywordsW2V.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8e6c8053",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2023-06-07T00:31:30.960605Z",
     "iopub.status.busy": "2023-06-07T00:31:30.959772Z",
     "iopub.status.idle": "2023-06-07T00:33:17.820644Z",
     "shell.execute_reply": "2023-06-07T00:33:17.819693Z"
    },
    "jupyter": {
     "outputs_hidden": true
    },
    "papermill": {
     "duration": 106.871272,
     "end_time": "2023-06-07T00:33:17.823721",
     "exception": false,
     "start_time": "2023-06-07T00:31:30.952449",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D0607 00:32:03.017140190      13 config.cc:119]                        gRPC EXPERIMENT tcp_frame_size_tuning               OFF (default:OFF)\n",
      "D0607 00:32:03.017168240      13 config.cc:119]                        gRPC EXPERIMENT tcp_rcv_lowat                       OFF (default:OFF)\n",
      "D0607 00:32:03.017171909      13 config.cc:119]                        gRPC EXPERIMENT peer_state_based_framing            OFF (default:OFF)\n",
      "D0607 00:32:03.017174526      13 config.cc:119]                        gRPC EXPERIMENT flow_control_fixes                  ON  (default:ON)\n",
      "D0607 00:32:03.017176880      13 config.cc:119]                        gRPC EXPERIMENT memory_pressure_controller          OFF (default:OFF)\n",
      "D0607 00:32:03.017179318      13 config.cc:119]                        gRPC EXPERIMENT unconstrained_max_quota_buffer_size OFF (default:OFF)\n",
      "D0607 00:32:03.017181934      13 config.cc:119]                        gRPC EXPERIMENT new_hpack_huffman_decoder           ON  (default:ON)\n",
      "D0607 00:32:03.017184400      13 config.cc:119]                        gRPC EXPERIMENT event_engine_client                 OFF (default:OFF)\n",
      "D0607 00:32:03.017186829      13 config.cc:119]                        gRPC EXPERIMENT monitoring_experiment               ON  (default:ON)\n",
      "D0607 00:32:03.017189312      13 config.cc:119]                        gRPC EXPERIMENT promise_based_client_call           OFF (default:OFF)\n",
      "D0607 00:32:03.017191687      13 config.cc:119]                        gRPC EXPERIMENT free_large_allocator                OFF (default:OFF)\n",
      "D0607 00:32:03.017194188      13 config.cc:119]                        gRPC EXPERIMENT promise_based_server_call           OFF (default:OFF)\n",
      "D0607 00:32:03.017196682      13 config.cc:119]                        gRPC EXPERIMENT transport_supplies_client_latency   OFF (default:OFF)\n",
      "D0607 00:32:03.017199089      13 config.cc:119]                        gRPC EXPERIMENT event_engine_listener               OFF (default:OFF)\n",
      "I0607 00:32:03.017386201      13 ev_epoll1_linux.cc:122]               grpc epoll fd: 59\n",
      "D0607 00:32:03.017404526      13 ev_posix.cc:144]                      Using polling engine: epoll1\n",
      "D0607 00:32:03.017424079      13 dns_resolver_ares.cc:822]             Using ares dns resolver\n",
      "D0607 00:32:03.017805429      13 lb_policy_registry.cc:46]             registering LB policy factory for \"priority_experimental\"\n",
      "D0607 00:32:03.017818207      13 lb_policy_registry.cc:46]             registering LB policy factory for \"outlier_detection_experimental\"\n",
      "D0607 00:32:03.017821665      13 lb_policy_registry.cc:46]             registering LB policy factory for \"weighted_target_experimental\"\n",
      "D0607 00:32:03.017824676      13 lb_policy_registry.cc:46]             registering LB policy factory for \"pick_first\"\n",
      "D0607 00:32:03.017827567      13 lb_policy_registry.cc:46]             registering LB policy factory for \"round_robin\"\n",
      "D0607 00:32:03.017830595      13 lb_policy_registry.cc:46]             registering LB policy factory for \"weighted_round_robin_experimental\"\n",
      "D0607 00:32:03.017837568      13 lb_policy_registry.cc:46]             registering LB policy factory for \"ring_hash_experimental\"\n",
      "D0607 00:32:03.017852753      13 lb_policy_registry.cc:46]             registering LB policy factory for \"grpclb\"\n",
      "D0607 00:32:03.017879836      13 lb_policy_registry.cc:46]             registering LB policy factory for \"rls_experimental\"\n",
      "D0607 00:32:03.017893092      13 lb_policy_registry.cc:46]             registering LB policy factory for \"xds_cluster_manager_experimental\"\n",
      "D0607 00:32:03.017896484      13 lb_policy_registry.cc:46]             registering LB policy factory for \"xds_cluster_impl_experimental\"\n",
      "D0607 00:32:03.017900427      13 lb_policy_registry.cc:46]             registering LB policy factory for \"cds_experimental\"\n",
      "D0607 00:32:03.017908072      13 lb_policy_registry.cc:46]             registering LB policy factory for \"xds_cluster_resolver_experimental\"\n",
      "D0607 00:32:03.017911527      13 lb_policy_registry.cc:46]             registering LB policy factory for \"xds_override_host_experimental\"\n",
      "D0607 00:32:03.017914789      13 lb_policy_registry.cc:46]             registering LB policy factory for \"xds_wrr_locality_experimental\"\n",
      "D0607 00:32:03.017919121      13 certificate_provider_registry.cc:35]  registering certificate provider factory for \"file_watcher\"\n",
      "I0607 00:32:03.020198571      13 socket_utils_common_posix.cc:408]     Disabling AF_INET6 sockets because ::1 is not available.\n",
      "I0607 00:32:03.036687172     105 socket_utils_common_posix.cc:337]     TCP_USER_TIMEOUT is available. TCP_USER_TIMEOUT will be used thereafter\n",
      "E0607 00:32:03.043342137     105 oauth2_credentials.cc:236]            oauth_fetch: UNKNOWN:C-ares status is not ARES_SUCCESS qtype=A name=metadata.google.internal. is_balancer=0: Domain name not found {grpc_status:2, created_time:\"2023-06-07T00:32:03.043322305+00:00\"}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting nltk\r\n",
      "  Downloading nltk-3.8.1-py3-none-any.whl (1.5 MB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m16.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hCollecting regex>=2021.8.3\r\n",
      "  Downloading regex-2023.6.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (772 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m772.3/772.3 KB\u001b[0m \u001b[31m35.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.8/site-packages (from nltk) (8.1.3)\r\n",
      "Requirement already satisfied: joblib in /usr/local/lib/python3.8/site-packages (from nltk) (1.2.0)\r\n",
      "Requirement already satisfied: tqdm in /usr/local/lib/python3.8/site-packages (from nltk) (4.65.0)\r\n",
      "Installing collected packages: regex, nltk\r\n",
      "Successfully installed nltk-3.8.1 regex-2023.6.3\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.\r\n",
      "You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\r\n",
      "\u001b[0mCollecting gensim\r\n",
      "  Downloading gensim-4.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.5 MB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m26.5/26.5 MB\u001b[0m \u001b[31m15.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.8/site-packages (from gensim) (1.23.5)\r\n",
      "Requirement already satisfied: scipy>=1.7.0 in /usr/local/lib/python3.8/site-packages (from gensim) (1.10.1)\r\n",
      "Collecting smart-open>=1.8.1\r\n",
      "  Downloading smart_open-6.3.0-py3-none-any.whl (56 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.8/56.8 KB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hInstalling collected packages: smart-open, gensim\r\n",
      "Successfully installed gensim-4.3.1 smart-open-6.3.0\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.\r\n",
      "You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\r\n",
      "\u001b[0mCollecting ipywidgets\r\n",
      "  Downloading ipywidgets-8.0.6-py3-none-any.whl (138 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.3/138.3 KB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: ipykernel>=4.5.1 in /usr/local/lib/python3.8/site-packages (from ipywidgets) (6.23.1)\r\n",
      "Requirement already satisfied: traitlets>=4.3.1 in /usr/local/lib/python3.8/site-packages (from ipywidgets) (5.9.0)\r\n",
      "Collecting jupyterlab-widgets~=3.0.7\r\n",
      "  Downloading jupyterlab_widgets-3.0.7-py3-none-any.whl (198 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m198.2/198.2 KB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: ipython>=6.1.0 in /usr/local/lib/python3.8/site-packages (from ipywidgets) (8.12.2)\r\n",
      "Collecting widgetsnbextension~=4.0.7\r\n",
      "  Downloading widgetsnbextension-4.0.7-py3-none-any.whl (2.1 MB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m39.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: jupyter-core!=5.0.*,>=4.12 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (5.3.0)\r\n",
      "Requirement already satisfied: packaging in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (23.1)\r\n",
      "Requirement already satisfied: debugpy>=1.6.5 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (1.6.7)\r\n",
      "Requirement already satisfied: jupyter-client>=6.1.12 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (8.2.0)\r\n",
      "Requirement already satisfied: psutil in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (5.9.5)\r\n",
      "Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (1.5.6)\r\n",
      "Requirement already satisfied: tornado>=6.1 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (6.3.2)\r\n",
      "Requirement already satisfied: comm>=0.1.1 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (0.1.3)\r\n",
      "Requirement already satisfied: matplotlib-inline>=0.1 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (0.1.6)\r\n",
      "Requirement already satisfied: pyzmq>=20 in /usr/local/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets) (25.0.2)\r\n",
      "Requirement already satisfied: jedi>=0.16 in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (0.18.2)\r\n",
      "Requirement already satisfied: stack-data in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (0.6.2)\r\n",
      "Requirement already satisfied: pygments>=2.4.0 in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (2.15.1)\r\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30 in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (3.0.38)\r\n",
      "Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (4.8.0)\r\n",
      "Requirement already satisfied: decorator in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (5.1.1)\r\n",
      "Requirement already satisfied: backcall in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (0.2.0)\r\n",
      "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (4.6.0)\r\n",
      "Requirement already satisfied: pickleshare in /usr/local/lib/python3.8/site-packages (from ipython>=6.1.0->ipywidgets) (0.7.5)\r\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /usr/local/lib/python3.8/site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets) (0.8.3)\r\n",
      "Requirement already satisfied: importlib-metadata>=4.8.3 in /usr/local/lib/python3.8/site-packages (from jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets) (6.6.0)\r\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/site-packages (from jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets) (2.8.2)\r\n",
      "Requirement already satisfied: platformdirs>=2.5 in /usr/local/lib/python3.8/site-packages (from jupyter-core!=5.0.*,>=4.12->ipykernel>=4.5.1->ipywidgets) (3.5.1)\r\n",
      "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.8/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets) (0.7.0)\r\n",
      "Requirement already satisfied: wcwidth in /usr/local/lib/python3.8/site-packages (from prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30->ipython>=6.1.0->ipywidgets) (0.2.6)\r\n",
      "Requirement already satisfied: pure-eval in /usr/local/lib/python3.8/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (0.2.2)\r\n",
      "Requirement already satisfied: asttokens>=2.1.0 in /usr/local/lib/python3.8/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.2.1)\r\n",
      "Requirement already satisfied: executing>=1.2.0 in /usr/local/lib/python3.8/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (1.2.0)\r\n",
      "Requirement already satisfied: six in /usr/local/lib/python3.8/site-packages (from asttokens>=2.1.0->stack-data->ipython>=6.1.0->ipywidgets) (1.16.0)\r\n",
      "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.8/site-packages (from importlib-metadata>=4.8.3->jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets) (3.15.0)\r\n",
      "Installing collected packages: widgetsnbextension, jupyterlab-widgets, ipywidgets\r\n",
      "Successfully installed ipywidgets-8.0.6 jupyterlab-widgets-3.0.7 widgetsnbextension-4.0.7\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.\r\n",
      "You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\r\n",
      "\u001b[0mCollecting seaborn\r\n",
      "  Downloading seaborn-0.12.2-py3-none-any.whl (293 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m293.3/293.3 KB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: numpy!=1.24.0,>=1.17 in /usr/local/lib/python3.8/site-packages (from seaborn) (1.23.5)\r\n",
      "Requirement already satisfied: pandas>=0.25 in /usr/local/lib/python3.8/site-packages (from seaborn) (2.0.1)\r\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in /usr/local/lib/python3.8/site-packages (from seaborn) (3.7.1)\r\n",
      "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.1)\r\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.39.4)\r\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\r\n",
      "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.5.0)\r\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\r\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.7)\r\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\r\n",
      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\r\n",
      "Requirement already satisfied: importlib-resources>=3.2.0 in /usr/local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (5.12.0)\r\n",
      "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.8/site-packages (from pandas>=0.25->seaborn) (2023.3)\r\n",
      "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.8/site-packages (from pandas>=0.25->seaborn) (2023.3)\r\n",
      "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.8/site-packages (from importlib-resources>=3.2.0->matplotlib!=3.6.1,>=3.1->seaborn) (3.15.0)\r\n",
      "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\r\n",
      "Installing collected packages: seaborn\r\n",
      "Successfully installed seaborn-0.12.2\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.\r\n",
      "You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\r\n",
      "\u001b[0mCollecting sentence-transformers\r\n",
      "  Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 KB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l-\b \bdone\r\n",
      "\u001b[?25hCollecting transformers<5.0.0,>=4.6.0\r\n",
      "  Downloading transformers-4.29.2-py3-none-any.whl (7.1 MB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.1/7.1 MB\u001b[0m \u001b[31m50.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (4.65.0)\r\n",
      "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (2.0.0)\r\n",
      "Requirement already satisfied: torchvision in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (0.15.1)\r\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (1.23.5)\r\n",
      "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (1.2.2)\r\n",
      "Requirement already satisfied: scipy in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (1.10.1)\r\n",
      "Requirement already satisfied: nltk in /usr/local/lib/python3.8/site-packages (from sentence-transformers) (3.8.1)\r\n",
      "Collecting sentencepiece\r\n",
      "  Downloading sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m52.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hCollecting huggingface-hub>=0.4.0\r\n",
      "  Downloading huggingface_hub-0.15.1-py3-none-any.whl (236 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m236.8/236.8 KB\u001b[0m \u001b[31m18.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.8/site-packages (from huggingface-hub>=0.4.0->sentence-transformers) (23.1)\r\n",
      "Collecting fsspec\r\n",
      "  Downloading fsspec-2023.5.0-py3-none-any.whl (160 kB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m160.1/160.1 KB\u001b[0m \u001b[31m14.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.8/site-packages (from huggingface-hub>=0.4.0->sentence-transformers) (3.12.0)\r\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/site-packages (from huggingface-hub>=0.4.0->sentence-transformers) (4.6.0)\r\n",
      "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/site-packages (from huggingface-hub>=0.4.0->sentence-transformers) (6.0)\r\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.8/site-packages (from huggingface-hub>=0.4.0->sentence-transformers) (2.31.0)\r\n",
      "Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.7.91)\r\n",
      "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.7.101)\r\n",
      "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (2.0.0)\r\n",
      "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.7.99)\r\n",
      "Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.4.0.1)\r\n",
      "Requirement already satisfied: sympy in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (1.12)\r\n",
      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (3.1.2)\r\n",
      "Requirement already satisfied: networkx in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (3.1)\r\n",
      "Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (10.2.10.91)\r\n",
      "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.7.99)\r\n",
      "Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.7.4.91)\r\n",
      "Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (2.14.3)\r\n",
      "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (10.9.0.58)\r\n",
      "Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (8.5.0.96)\r\n",
      "Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/lib/python3.8/site-packages (from torch>=1.6.0->sentence-transformers) (11.10.3.66)\r\n",
      "Requirement already satisfied: wheel in /usr/local/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->sentence-transformers) (0.40.0)\r\n",
      "Requirement already satisfied: setuptools in /usr/local/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->sentence-transformers) (57.5.0)\r\n",
      "Requirement already satisfied: cmake in /usr/local/lib/python3.8/site-packages (from triton==2.0.0->torch>=1.6.0->sentence-transformers) (3.26.3)\r\n",
      "Requirement already satisfied: lit in /usr/local/lib/python3.8/site-packages (from triton==2.0.0->torch>=1.6.0->sentence-transformers) (16.0.5)\r\n",
      "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/site-packages (from transformers<5.0.0,>=4.6.0->sentence-transformers) (2023.6.3)\r\n",
      "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\r\n",
      "  Downloading tokenizers-0.13.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\r\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m75.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.8/site-packages (from nltk->sentence-transformers) (8.1.3)\r\n",
      "Requirement already satisfied: joblib in /usr/local/lib/python3.8/site-packages (from nltk->sentence-transformers) (1.2.0)\r\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.8/site-packages (from scikit-learn->sentence-transformers) (3.1.0)\r\n",
      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.8/site-packages (from torchvision->sentence-transformers) (9.5.0)\r\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/site-packages (from jinja2->torch>=1.6.0->sentence-transformers) (2.1.2)\r\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.8/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (1.26.16)\r\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.8/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (3.1.0)\r\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (2023.5.7)\r\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (3.4)\r\n",
      "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.8/site-packages (from sympy->torch>=1.6.0->sentence-transformers) (1.3.0)\r\n",
      "Building wheels for collected packages: sentence-transformers\r\n",
      "  Building wheel for sentence-transformers (setup.py) ... \u001b[?25l-\b \b\\\b \bdone\r\n",
      "\u001b[?25h  Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125938 sha256=d813cd37116bb0d2cd9454ac15d27de59a5366177c29c68beeb6c725c2f1a852\r\n",
      "  Stored in directory: /root/.cache/pip/wheels/5e/6f/8c/d88aec621f3f542d26fac0342bef5e693335d125f4e54aeffe\r\n",
      "Successfully built sentence-transformers\r\n",
      "Installing collected packages: tokenizers, sentencepiece, fsspec, huggingface-hub, transformers, sentence-transformers\r\n",
      "Successfully installed fsspec-2023.5.0 huggingface-hub-0.15.1 sentence-transformers-2.2.2 sentencepiece-0.1.99 tokenizers-0.13.3 transformers-4.29.2\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.\r\n",
      "You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\r\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import pandas as pd\n",
    "import ast\n",
    "!pip install -U nltk\n",
    "from nltk.tokenize import sent_tokenize, word_tokenize\n",
    "!pip install -U gensim\n",
    "import gensim\n",
    "from gensim.models import Word2Vec\n",
    "import numpy as np\n",
    "from sklearn.cluster import SpectralClustering\n",
    "\n",
    "!pip install -U ipywidgets\n",
    "\n",
    "from sklearn.decomposition import PCA\n",
    "import matplotlib.pyplot as plt\n",
    "!pip install -U seaborn\n",
    "import seaborn as sns\n",
    "from nltk.data import find\n",
    "\n",
    "!pip install -U sentence-transformers\n",
    "from sentence_transformers import SentenceTransformer\n",
    "import logging\n",
    "from transformers import logging as hf_logging\n",
    "from transformers import LongformerModel, LongformerTokenizer\n",
    "\n",
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c95b0388",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T00:33:17.852112Z",
     "iopub.status.busy": "2023-06-07T00:33:17.851530Z",
     "iopub.status.idle": "2023-06-07T00:33:18.002995Z",
     "shell.execute_reply": "2023-06-07T00:33:18.002152Z"
    },
    "papermill": {
     "duration": 0.168261,
     "end_time": "2023-06-07T00:33:18.005748",
     "exception": false,
     "start_time": "2023-06-07T00:33:17.837487",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "full_data = pd.read_csv('/kaggle/input/tmdb-movie-metadata/tmdb_5000_movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "119dfd6c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T00:33:18.032772Z",
     "iopub.status.busy": "2023-06-07T00:33:18.032452Z",
     "iopub.status.idle": "2023-06-07T00:33:18.042651Z",
     "shell.execute_reply": "2023-06-07T00:33:18.041875Z"
    },
    "papermill": {
     "duration": 0.026115,
     "end_time": "2023-06-07T00:33:18.044753",
     "exception": false,
     "start_time": "2023-06-07T00:33:18.018638",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Data Preprocessing\n",
    "imp_data = full_data[['id', 'overview', 'title', 'keywords']]\n",
    "\n",
    "summaries = imp_data['overview'][:360].reset_index(drop=True)\n",
    "keywords = imp_data['keywords'][:360].reset_index(drop=True)\n",
    "titles = imp_data['title'][:360].reset_index(drop=True)\n",
    "ids = imp_data['id'][:360].reset_index(drop=True)\n",
    "\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_columns', None)\n",
    "\n",
    "# print(summaries)\n",
    "# print(keywords.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5753b23d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T00:33:18.071742Z",
     "iopub.status.busy": "2023-06-07T00:33:18.071397Z",
     "iopub.status.idle": "2023-06-07T00:33:31.555898Z",
     "shell.execute_reply": "2023-06-07T00:33:31.554835Z"
    },
    "papermill": {
     "duration": 13.501288,
     "end_time": "2023-06-07T00:33:31.558778",
     "exception": false,
     "start_time": "2023-06-07T00:33:18.057490",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package word2vec_sample to /root/nltk_data...\n",
      "[nltk_data]   Unzipping models/word2vec_sample.zip.\n"
     ]
    }
   ],
   "source": [
    "# Get Keyword Embeddings Average for Movies using Word2Vec\n",
    "import gensim\n",
    "from gensim.models import Word2Vec\n",
    "import json\n",
    "import numpy as np\n",
    "import nltk\n",
    "nltk.download('word2vec_sample')\n",
    "\n",
    "# Parse the JSON and extract the 'name' values\n",
    "keywords = keywords.apply(lambda x: [keyword['name'] for keyword in json.loads(x)])\n",
    "\n",
    "# skip-gram on Google News data\n",
    "from nltk.data import find\n",
    "word2vec_sample = str(find('models/word2vec_sample/pruned.word2vec.txt'))\n",
    "word2vec_model = gensim.models.KeyedVectors.load_word2vec_format(word2vec_sample, binary=False)\n",
    "\n",
    "# Get the Word2Vec embeddings of the keywords and take their mean\n",
    "keyword_embeddings = []\n",
    "\n",
    "for keyword_list in keywords:\n",
    "    embedding_list = []\n",
    "    for keyword in keyword_list:\n",
    "        # Check if the word is in the model's vocabulary\n",
    "        if keyword in word2vec_model:\n",
    "            embedding = word2vec_model[keyword]\n",
    "            embedding_list.append(embedding)\n",
    "    # Take the mean of all keyword embeddings for this movie\n",
    "    if embedding_list:\n",
    "        keyword_embedding = np.mean(embedding_list, axis=0)\n",
    "    else:\n",
    "        keyword_embedding = np.zeros(300)  # assuming the embeddings are of size 300\n",
    "    keyword_embeddings.append(keyword_embedding)\n",
    "\n",
    "keyword_embeddings = np.array(keyword_embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "395dc0d7",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2023-06-07T00:33:31.586836Z",
     "iopub.status.busy": "2023-06-07T00:33:31.586498Z",
     "iopub.status.idle": "2023-06-07T00:33:42.090646Z",
     "shell.execute_reply": "2023-06-07T00:33:42.089686Z"
    },
    "jupyter": {
     "outputs_hidden": true
    },
    "papermill": {
     "duration": 10.527858,
     "end_time": "2023-06-07T00:33:42.099862",
     "exception": false,
     "start_time": "2023-06-07T00:33:31.572004",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on TPU  \n",
      "INFO:tensorflow:Deallocate tpu buffers before initializing tpu system.\n",
      "INFO:tensorflow:Initializing the TPU system: local\n",
      "INFO:tensorflow:Finished initializing TPU system.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:`tf.distribute.experimental.TPUStrategy` is deprecated, please use  the non experimental symbol `tf.distribute.TPUStrategy` instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Found TPU system:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Found TPU system:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Num TPU Cores: 8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Num TPU Cores: 8\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Num TPU Workers: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Num TPU Workers: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Num TPU Cores Per Worker: 8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Num TPU Cores Per Worker: 8\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:CPU:0, CPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:CPU:0, CPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:0, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:0, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:1, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:1, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:2, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:2, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:3, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:3, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:4, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:4, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:5, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:5, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:6, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:6, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:7, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU:7, TPU, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU_SYSTEM:0, TPU_SYSTEM, 0, 0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:*** Available Device: _DeviceAttributes(/job:localhost/replica:0/task:0/device:TPU_SYSTEM:0, TPU_SYSTEM, 0, 0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "REPLICAS:  8\n"
     ]
    }
   ],
   "source": [
    "# Set TPU strategy\n",
    "import os\n",
    "import tensorflow as tf\n",
    "\n",
    "try:\n",
    "    tpu = tf.distribute.cluster_resolver.TPUClusterResolver() \n",
    "    print('Running on TPU ', tpu.master())\n",
    "except ValueError:\n",
    "    tpu = None\n",
    "\n",
    "if tpu:\n",
    "    tf.config.experimental_connect_to_cluster(tpu)\n",
    "    tf.tpu.experimental.initialize_tpu_system(tpu)\n",
    "    strategy = tf.distribute.experimental.TPUStrategy(tpu)\n",
    "else:\n",
    "    strategy = tf.distribute.get_strategy() \n",
    "    print(\"Running on CPU/GPU\")\n",
    "\n",
    "print(\"REPLICAS: \", strategy.num_replicas_in_sync)\n",
    "\n",
    "\n",
    "BATCH_SIZE = 4 * strategy.num_replicas_in_sync"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c8b4ea91",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T00:33:42.136480Z",
     "iopub.status.busy": "2023-06-07T00:33:42.136122Z",
     "iopub.status.idle": "2023-06-07T01:28:40.396161Z",
     "shell.execute_reply": "2023-06-07T01:28:40.394822Z"
    },
    "papermill": {
     "duration": 3298.297053,
     "end_time": "2023-06-07T01:28:40.414149",
     "exception": false,
     "start_time": "2023-06-07T00:33:42.117096",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0fa0b571e20c4996ae1ed086f8f36a24",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)lve/main/config.json:   0%|          | 0.00/694 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "262a3e01461e4f4484406c5f329c1720",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading tf_model.h5:   0%|          | 0.00/765M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some layers from the model checkpoint at allenai/longformer-base-4096 were not used when initializing TFLongformerModel: ['lm_head']\n",
      "- This IS expected if you are initializing TFLongformerModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing TFLongformerModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
      "All the layers of TFLongformerModel were initialized from the model checkpoint at allenai/longformer-base-4096.\n",
      "If your task is similar to the task the model of the checkpoint was trained on, you can already use TFLongformerModel for predictions without further training.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "34ff456613ff49de8a34fb427605a4eb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)olve/main/vocab.json:   0%|          | 0.00/899k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d9e9fb03541f49459266166198d237fd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading (…)olve/main/merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time for embedding  0 :  284.8358962535858  seconds\n",
      "Time for embedding  32 :  286.3524560928345  seconds\n",
      "Time for embedding  64 :  288.5863764286041  seconds\n",
      "Time for embedding  96 :  288.75349593162537  seconds\n",
      "Time for embedding  128 :  291.30858755111694  seconds\n",
      "Time for embedding  160 :  289.0458085536957  seconds\n",
      "Time for embedding  192 :  289.2991988658905  seconds\n",
      "Time for embedding  224 :  291.2506718635559  seconds\n",
      "Time for embedding  256 :  290.27545714378357  seconds\n",
      "Time for embedding  288 :  293.33741545677185  seconds\n",
      "Time for embedding  320 :  294.0516073703766  seconds\n",
      "Time for embedding  352 :  80.04133701324463  seconds\n",
      "(360, 768)\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from transformers import TFLongformerModel, LongformerTokenizer\n",
    "import numpy as np\n",
    "import gc\n",
    "import time\n",
    "import sys\n",
    "\n",
    "# Tokenize all the summaries\n",
    "def longformer_tokenize_data(tokenizer, summaries):\n",
    "    tokenized_summaries = []\n",
    "    for summary in summaries:\n",
    "        # Tokenize the text\n",
    "        tokenized_summary = tokenizer(summary, truncation=True, max_length=4096, padding='max_length', return_tensors=\"tf\")\n",
    "        tokenized_summaries.append(tokenized_summary)\n",
    "    return tokenized_summaries\n",
    "\n",
    "# Wrap the model call in strategy.scope\n",
    "with strategy.scope():\n",
    "    model = TFLongformerModel.from_pretrained('allenai/longformer-base-4096')\n",
    "\n",
    "# Instantiate the Longformer model and tokenizer\n",
    "tokenizer = LongformerTokenizer.from_pretrained('allenai/longformer-base-4096')\n",
    "\n",
    "# Tokenize summaries with LongformerTokenizer\n",
    "processed_data = longformer_tokenize_data(tokenizer, summaries)\n",
    "stop = time.time()\n",
    "\n",
    "with strategy.scope():\n",
    "    # Process the data\n",
    "    summary_embeddings = []\n",
    "    for i in range(0, len(processed_data), BATCH_SIZE):\n",
    "        start2 = time.time()\n",
    "        \n",
    "        # Create a batch\n",
    "        batch = processed_data[i:i+BATCH_SIZE]\n",
    "        batch_input_ids = [item['input_ids'] for item in batch]\n",
    "        batch_attention_mask = [item['attention_mask'] for item in batch]\n",
    "        \n",
    "        # Convert lists to tensors\n",
    "        batch_input_ids = tf.concat(batch_input_ids, axis=0)\n",
    "        batch_attention_mask = tf.concat(batch_attention_mask, axis=0)\n",
    "        \n",
    "        # Compute embeddings for the batch\n",
    "        outputs = model(batch_input_ids, attention_mask=batch_attention_mask)\n",
    "        \n",
    "        # Reduce sequence length dimension and convert to numpy\n",
    "        reduced_outputs = tf.reduce_mean(outputs[0], axis=1).numpy()\n",
    "        summary_embeddings.extend(reduced_outputs)\n",
    "        \n",
    "        del batch, batch_input_ids, batch_attention_mask, reduced_outputs\n",
    "        gc.collect()\n",
    "\n",
    "        stop2 = time.time()\n",
    "        print(\"Time for embedding \", i, \": \", stop2 - start2, \" seconds\")\n",
    "        \n",
    "# # Reshape output embeddings by taking the mean across sequence_length dimension\n",
    "# # and squeezing to remove batch_size dimension\n",
    "# embeddings = [np.mean(x, axis=0) for x in summary_embeddings]\n",
    "\n",
    "# Set print options\n",
    "np.set_printoptions(threshold=sys.maxsize)\n",
    "\n",
    "embeddings = np.array(summary_embeddings)\n",
    "\n",
    "# Memory Cleanup\n",
    "del summary_embeddings, processed_data\n",
    "gc.collect()\n",
    "\n",
    "np.save('/kaggle/working/tmdb_360_summary_and_keyword_embeddings.npy', embeddings)\n",
    "\n",
    "# Output: NumPy array of vector embeddings\n",
    "print(embeddings.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e40c3935",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T01:28:40.451933Z",
     "iopub.status.busy": "2023-06-07T01:28:40.451176Z",
     "iopub.status.idle": "2023-06-07T01:28:40.456386Z",
     "shell.execute_reply": "2023-06-07T01:28:40.455382Z"
    },
    "papermill": {
     "duration": 0.026512,
     "end_time": "2023-06-07T01:28:40.458633",
     "exception": false,
     "start_time": "2023-06-07T01:28:40.432121",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Concatenate the summary embeddings and keyword embeddings\n",
    "all_embeddings = np.concatenate((embeddings, keyword_embeddings), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2364d3fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T01:28:40.494964Z",
     "iopub.status.busy": "2023-06-07T01:28:40.494689Z",
     "iopub.status.idle": "2023-06-07T01:28:41.022339Z",
     "shell.execute_reply": "2023-06-07T01:28:41.020303Z"
    },
    "papermill": {
     "duration": 0.549746,
     "end_time": "2023-06-07T01:28:41.025543",
     "exception": false,
     "start_time": "2023-06-07T01:28:40.475797",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Davies-Bouldin Index:  1.7631781669650066\n"
     ]
    }
   ],
   "source": [
    "from sklearn.cluster import SpectralClustering\n",
    "from sklearn.metrics import davies_bouldin_score\n",
    "\n",
    "number_of_clusters = 120\n",
    "\n",
    "# Perform spectral clustering\n",
    "clustering = SpectralClustering(n_clusters=number_of_clusters, assign_labels='discretize', random_state=7).fit(all_embeddings)\n",
    "\n",
    "# Assign labels to data points\n",
    "labels = clustering.labels_\n",
    "\n",
    "# Compute Davies-Bouldin Index\n",
    "db_score = davies_bouldin_score(all_embeddings, labels)\n",
    "\n",
    "print('Davies-Bouldin Index: ', db_score)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "85682e64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T01:28:41.073366Z",
     "iopub.status.busy": "2023-06-07T01:28:41.072755Z",
     "iopub.status.idle": "2023-06-07T01:28:41.922615Z",
     "shell.execute_reply": "2023-06-07T01:28:41.921461Z"
    },
    "papermill": {
     "duration": 0.880727,
     "end_time": "2023-06-07T01:28:41.929184",
     "exception": false,
     "start_time": "2023-06-07T01:28:41.048457",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cluster 0 summaries:\n",
      "         ID                   Title                                            Summary\n",
      "87   158852            Tomorrowland  Bound by a shared destiny, a bright, optimisti...\n",
      "96    27205               Inception  Cobb, a skilled thief who commits corporate es...\n",
      "123     605  The Matrix Revolutions  The human city of Zion defends itself against ...\n",
      "125     604     The Matrix Reloaded  Six months after the events depicted in The Ma...\n",
      "154   81188   Rise of the Guardians  When an evil spirit known as Pitch lays down t...\n",
      "177   77950                   Turbo  The tale of an ordinary garden snail who dream...\n",
      "\n",
      "\n",
      "Cluster 1 summaries:\n",
      "         ID                                Title                                            Summary\n",
      "85   100402  Captain America: The Winter Soldier  After the cataclysmic events in New York with ...\n",
      "108   87101                   Terminator Genisys  The year is 2029. John Connor, leader of the r...\n",
      "127   76341                   Mad Max: Fury Road  An apocalyptic story set in the furthest reach...\n",
      "275     180                      Minority Report  John Anderton is a top 'Precrime' cop in the l...\n",
      "301   83542                          Cloud Atlas  A set of six nested stories spanning time betw...\n",
      "\n",
      "\n",
      "Cluster 2 summaries:\n",
      "         ID                       Title                                            Summary\n",
      "26   271110  Captain America: Civil War  Following the events of Age of Ultron, the col...\n",
      "43      534        Terminator Salvation  All grown up in post-apocalyptic 2018, John Co...\n",
      "74   137113            Edge of Tomorrow  Major Bill Cage is an officer who has never se...\n",
      "110     676                Pearl Harbor  The lifelong friendship between Rafe McCawley ...\n",
      "208    1911            The 13th Warrior  In AD 922, Arab courtier, Ahmad Ibn Fadlan acc...\n",
      "300     563           Starship Troopers  Set in the future, the story follows a young s...\n",
      "\n",
      "\n",
      "Cluster 3 summaries:\n",
      "         ID              Title                                            Summary\n",
      "225    7459        Speed Racer  Speed Racer is the tale of a young and brillia...\n",
      "313  227973  The Peanuts Movie  Snoopy embarks upon his greatest mission as he...\n",
      "\n",
      "\n",
      "Cluster 4 summaries:\n",
      "        ID                               Title                                            Summary\n",
      "9   209112  Batman v Superman: Dawn of Justice  Fearing the actions of a god-like Super Hero l...\n",
      "79   10138                          Iron Man 2  With the world now aware of his dual life as t...\n",
      "\n",
      "\n",
      "Cluster 5 summaries:\n",
      "        ID                      Title                                            Summary\n",
      "293  16523  Where the Wild Things Are  Max imagines running away from his mom and sai...\n",
      "\n",
      "\n",
      "Cluster 6 summaries:\n",
      "         ID                                   Title                                            Summary\n",
      "50     9543     Prince of Persia: The Sands of Time  A rogue prince reluctantly joins forces with a...\n",
      "68     1726                                Iron Man  After being held captive in an Afghan cave, bi...\n",
      "91    47933            Independence Day: Resurgence  We always knew they were coming back. Using re...\n",
      "147   36669                         Die Another Day  Bond takes on a North Korean leader who underg...\n",
      "157  147441                  Exodus: Gods and Kings  The defiant leader Moses rises up against the ...\n",
      "162   10048                                 Stealth  Deeply ensconced in a top-secret military prog...\n",
      "179  270946                  Penguins of Madagascar  Skipper, Kowalski, Rico and Private join force...\n",
      "205   58574      Sherlock Holmes: A Game of Shadows  There is a new criminal mastermind at large (P...\n",
      "210     415                          Batman & Robin  Along with crime-fighting partner Robin and ne...\n",
      "263   10204             Around the World in 80 Days  A bet pits a British inventor, a Chinese thief...\n",
      "317   76758                      The Flowers of War  A Westerner finds refuge with a group of women...\n",
      "344   44048                             Unstoppable  A runaway train, transporting deadly, toxic ch...\n",
      "359  258509  Alvin and the Chipmunks: The Road Chip  Through a series of misunderstandings, Alvin, ...\n",
      "\n",
      "\n",
      "Cluster 7 summaries:\n",
      "        ID                      Title                                            Summary\n",
      "75    9804                 Waterworld  In a futuristic world where the polar ice caps...\n",
      "318   9408                  Surf's Up  Cody is a surfing penguin from Shiverpool who ...\n",
      "328     12               Finding Nemo  Nemo, an adventurous young clownfish, is unexp...\n",
      "358  10865  Atlantis: The Lost Empire  The world's most highly qualified crew of arch...\n",
      "\n",
      "\n",
      "Cluster 8 summaries:\n",
      "         ID                                           Title                                            Summary\n",
      "121   18360  Night at the Museum: Battle of the Smithsonian  Hapless museum night watchman Larry Daley must...\n",
      "195  181533         Night at the Museum: Secret of the Tomb  When the magic powers of The Tablet of Ahkmenr...\n",
      "343     863                                     Toy Story 2  Andy heads off to Cowboy Camp, leaving his toy...\n",
      "\n",
      "\n",
      "Cluster 9 summaries:\n",
      "         ID                              Title                                            Summary\n",
      "48    81005              Jack the Giant Slayer  The story of an ancient war that is reignited ...\n",
      "98    49051  The Hobbit: An Unexpected Journey  Bilbo Baggins, a hobbit enjoying his quiet lif...\n",
      "175  267935                            The BFG  The BFG is no ordinary bone-crunching giant. H...\n",
      "\n",
      "\n",
      "Cluster 10 summaries:\n",
      "       ID                                          Title                                            Summary\n",
      "329   122  The Lord of the Rings: The Return of the King  Aragorn is revealed as the heir to the ancient...\n",
      "339  9806                                The Incredibles  Bob Parr has given up his superhero days to lo...\n",
      "346  2655                              What Lies Beneath  When Claire Spencer starts hearing ghostly voi...\n",
      "\n",
      "\n",
      "Cluster 11 summaries:\n",
      "         ID                               Title                                            Summary\n",
      "52    38356      Transformers: Dark of the Moon  Sam Witwicky takes his first tenuous steps int...\n",
      "72   297761                       Suicide Squad  From DC Comics comes the Suicide Squad, an ant...\n",
      "81   102651                          Maleficent  The untold story of Disney's most iconic villa...\n",
      "134  177677  Mission: Impossible - Rogue Nation  Ethan and team take on their most impossible m...\n",
      "\n",
      "\n",
      "Cluster 12 summaries:\n",
      "        ID        Title                                            Summary\n",
      "236  12100  Windtalkers  Joe Enders is a gung-ho Marine assigned to pro...\n",
      "\n",
      "\n",
      "Cluster 13 summaries:\n",
      "      ID        Title                                            Summary\n",
      "58  5174  Rush Hour 3  After an attempted assassination on Ambassador...\n",
      "\n",
      "\n",
      "Cluster 14 summaries:\n",
      "        ID              Title                                            Summary\n",
      "21   20662         Robin Hood  When soldier Robin happens upon the dying Robe...\n",
      "156    616   The Last Samurai  Nathan Algren is an American hired to instruct...\n",
      "267   1495  Kingdom of Heaven  After his wife dies, a blacksmith named Balian...\n",
      "280  11322     Public Enemies  Depression-era bank robber John Dillinger's ch...\n",
      "\n",
      "\n",
      "Cluster 15 summaries:\n",
      "        ID                       Title                                            Summary\n",
      "325  57800  Ice Age: Continental Drift  Manny, Diego, and Sid embark upon another adve...\n",
      "\n",
      "\n",
      "Cluster 16 summaries:\n",
      "        ID               Title                                            Summary\n",
      "14   49521        Man of Steel  A young boy learns that he has extraordinary p...\n",
      "101  49538  X-Men: First Class  Before Charles Xavier and Erik Lensherr took t...\n",
      "203  36658                  X2  Professor Charles Xavier and his team of genet...\n",
      "232  76170       The Wolverine  Wolverine faces his ultimate nemesis - and tes...\n",
      "\n",
      "\n",
      "Cluster 17 summaries:\n",
      "         ID                                Title                                            Summary\n",
      "22    57158  The Hobbit: The Desolation of Smaug  The Dwarves, Bilbo and Gandalf have successful...\n",
      "152  140300                      Kung Fu Panda 3  Continuing his \"legendary adventures of awesom...\n",
      "292    2486                               Eragon  In his homeland of Alagaesia, a farm boy happe...\n",
      "\n",
      "\n",
      "Cluster 18 summaries:\n",
      "         ID                     Title                                            Summary\n",
      "11    10764         Quantum of Solace  Quantum of Solace continues the adventures of ...\n",
      "99     9799  The Fast and the Furious  Domenic Toretto is a Los Angeles street racer ...\n",
      "150     608           Men in Black II  Kay and Jay reunite to provide our best, last ...\n",
      "186    8961               Bad Boys II  Out-of-control, trash-talking buddy cops Marcu...\n",
      "308  257088               Point Break  A young undercover FBI agent infiltrates a gan...\n",
      "342     607              Men in Black  Men in Black follows the exploits of agents Ka...\n",
      "351    1422              The Departed  To take down South Boston's Irish Mafia, the p...\n",
      "\n",
      "\n",
      "Cluster 19 summaries:\n",
      "        ID                                              Title                                            Summary\n",
      "5      559                                       Spider-Man 3  The seemingly invincible Spider-Man goes up ag...\n",
      "60   17979                                  A Christmas Carol  Miser Ebenezer Scrooge is awakened on Christma...\n",
      "63     411  The Chronicles of Narnia: The Lion, the Witch ...  Siblings Lucy, Edmund, Susan and Peter step th...\n",
      "305   9016                                    Treasure Planet  When space galleon cabin boy Jim Hawkins disco...\n",
      "\n",
      "\n",
      "Cluster 20 summaries:\n",
      "         ID                               Title                                            Summary\n",
      "84    64686                            47 Ronin  Based on the original 1941 movie from Japan, a...\n",
      "93      296  Terminator 3: Rise of the Machines  It's been 10 years since John Connor saved Ear...\n",
      "266    2048                            I, Robot  In 2035, where robots are common-place and abi...\n",
      "286    9268                              Eraser  U.S. Marshall John Kruger erases the identitie...\n",
      "310  205775             In the Heart of the Sea  In the winter of 1820, the New England whaling...\n",
      "\n",
      "\n",
      "Cluster 21 summaries:\n",
      "      ID           Title                                            Summary\n",
      "70  8487  Wild Wild West  Legless Southern inventor Dr. Arliss Loveless ...\n",
      "\n",
      "\n",
      "Cluster 22 summaries:\n",
      "         ID              Title                                            Summary\n",
      "45    72190        World War Z  Life for former United Nations investigator Ge...\n",
      "51    68726        Pacific Rim  When legions of monstrous creatures, known as ...\n",
      "59    14161               2012  Dr. Adrian Helmsley, part of a worldwide geoph...\n",
      "64   246655  X-Men: Apocalypse  After the re-emergence of the world's first mu...\n",
      "185      74  War of the Worlds  Ray Ferrier is a divorced dockworker and less-...\n",
      "\n",
      "\n",
      "Cluster 23 summaries:\n",
      "         ID                        Title                                            Summary\n",
      "124  109445                       Frozen  Young princess Anna of Arendelle dreams about ...\n",
      "173   65759               Happy Feet Two  Mumble the penguin has a problem: his son Erik...\n",
      "288   10545  The Hunchback of Notre Dame  When Quasi defies the evil Frollo and ventures...\n",
      "352   10674                        Mulan  A tomboyish girl disguises herself as a young ...\n",
      "\n",
      "\n",
      "Cluster 24 summaries:\n",
      "         ID                                              Title                                            Summary\n",
      "1       285           Pirates of the Caribbean: At World's End  Captain Barbossa, long believed to be dead, ha...\n",
      "12       58         Pirates of the Caribbean: Dead Man's Chest  Captain Jack Sparrow works his way out of a bl...\n",
      "97   315011                                      Shin Godzilla  From the mind behind Evangelion comes a hit la...\n",
      "189   86834                                               Noah  A man who suffers visions of an apocalyptic de...\n",
      "341   32657  Percy Jackson & the Olympians: The Lightning T...  Accident prone teenager, Percy discovers he's ...\n",
      "\n",
      "\n",
      "Cluster 25 summaries:\n",
      "        ID                   Title                                            Summary\n",
      "20    1930  The Amazing Spider-Man  Peter Parker is an outcast high schooler aband...\n",
      "196  38055                Megamind  Bumbling supervillain Megamind finally defeats...\n",
      "207    861            Total Recall  Construction worker Douglas Quaid discovers a ...\n",
      "\n",
      "\n",
      "Cluster 26 summaries:\n",
      "         ID Title                                            Summary\n",
      "294  116711  Epic  A teenager finds herself transported to a deep...\n",
      "\n",
      "\n",
      "Cluster 27 summaries:\n",
      "        ID              Title                                            Summary\n",
      "255  13700  Home on the Range  When a greedy outlaw schemes to take possessio...\n",
      "\n",
      "\n",
      "Cluster 28 summaries:\n",
      "         ID                    Title                                            Summary\n",
      "2    206647                  Spectre  A cryptic message from Bond’s past sends him o...\n",
      "7     99861  Avengers: Age of Ultron  When Tony Stark tries to jumpstart a dormant p...\n",
      "10     1452         Superman Returns  Superman returns to discover his 5-year absenc...\n",
      "29    37724                  Skyfall  When Bond's latest assignment goes gravely wro...\n",
      "188   27576                     Salt  As a CIA officer, Evelyn Salt swore an oath to...\n",
      "227   37834           Knight and Day  A fugitive couple goes on a glamorous and some...\n",
      "245     714      Tomorrow Never Dies  A deranged media mogul is staging internationa...\n",
      "282   36955                True Lies  Harry Tasker is a secret agent for the United ...\n",
      "\n",
      "\n",
      "Cluster 29 summaries:\n",
      "         ID                           Title                                            Summary\n",
      "62   258489            The Legend of Tarzan  Tarzan, having acclimated to life in London, i...\n",
      "82   119450  Dawn of the Planet of the Apes  A group of scientists in San Francisco struggl...\n",
      "202  172385                           Rio 2  It's a jungle out there for Blu, Jewel and the...\n",
      "353    7446                  Tropic Thunder  Vietnam veteran 'Four Leaf' Tayback's memoir, ...\n",
      "\n",
      "\n",
      "Cluster 30 summaries:\n",
      "      ID                                      Title                                            Summary\n",
      "8    767     Harry Potter and the Half-Blood Prince  As Harry begins his sixth year at Hogwarts, he...\n",
      "113  675  Harry Potter and the Order of the Phoenix  Returning for his fifth year of study at Hogwa...\n",
      "114  674        Harry Potter and the Goblet of Fire  Harry starts his fourth year at Hogwarts, comp...\n",
      "191  673   Harry Potter and the Prisoner of Azkaban  Harry, Ron and Hermione return to Hogwarts for...\n",
      "197  671   Harry Potter and the Philosopher's Stone  Harry Potter has lived under the stairs at his...\n",
      "276  672    Harry Potter and the Chamber of Secrets  Ignoring threats to his life, Harry returns to...\n",
      "\n",
      "\n",
      "Cluster 31 summaries:\n",
      "         ID                    Title                                            Summary\n",
      "47    54138  Star Trek Into Darkness  When the crew of the Enterprise is called back...\n",
      "61    76757        Jupiter Ascending  In a universe where human genetic material is ...\n",
      "94   118340  Guardians of the Galaxy  Light years from Earth, 26 years after being a...\n",
      "184  228161                     Home  When Earth is taken over by the overly-confide...\n",
      "228   75612                 Oblivion  Jack Harper is one of the last few drone repai...\n",
      "239   49047                  Gravity  Dr. Ryan Stone, a brilliant medical engineer o...\n",
      "260   80274             Ender's Game  Based on the classic novel by Orson Scott Card...\n",
      "270  286217              The Martian  During a manned mission to Mars, Astronaut Mar...\n",
      "\n",
      "\n",
      "Cluster 32 summaries:\n",
      "        ID      Title                                            Summary\n",
      "338  10733  The Alamo  Based on the 1836 standoff between a group of ...\n",
      "\n",
      "\n",
      "Cluster 33 summaries:\n",
      "        ID                        Title                                            Summary\n",
      "104    503                     Poseidon  A packed cruise ship traveling the Atlantic is...\n",
      "120  10527  Madagascar: Escape 2 Africa  Alex, Marty, Melman, Gloria, King Julien, Maur...\n",
      "217   1250                  Ghost Rider  In order to save his dying father, young stunt...\n",
      "\n",
      "\n",
      "Cluster 34 summaries:\n",
      "         ID                            Title                                            Summary\n",
      "122    2080         X-Men Origins: Wolverine  After seeking to live a normal life, Logan set...\n",
      "250    2567                      The Aviator  A biopic depicting the life of filmmaker and a...\n",
      "264    8489                              Ali  In 1964, a brash new pro boxer, fresh from his...\n",
      "298  106646          The Wolf of Wall Street  A New York stockbroker refuses to cooperate in...\n",
      "349  116745  The Secret Life of Walter Mitty  A timid magazine photo manager who lives life ...\n",
      "\n",
      "\n",
      "Cluster 35 summaries:\n",
      "         ID                                Title                                            Summary\n",
      "25      597                              Titanic  84 years later, a 101-year-old woman named Ros...\n",
      "35     8373  Transformers: Revenge of the Fallen  Sam Witwicky leaves the Autobots behind for a ...\n",
      "65      155                      The Dark Knight  Batman raises the stakes in his war on crime. ...\n",
      "220   70981                           Prometheus  A team of explorers discover a clue to the ori...\n",
      "265   10588                   The Cat in the Hat  Conrad and Sally Walden are home alone with th...\n",
      "357  271969                              Ben-Hur  A falsely accused nobleman survives years of s...\n",
      "\n",
      "\n",
      "Cluster 36 summaries:\n",
      "      ID            Title                                            Summary\n",
      "320  855  Black Hawk Down  When U.S. Rangers and an elite Delta Force tea...\n",
      "\n",
      "\n",
      "Cluster 37 summaries:\n",
      "        ID                                      Title                                            Summary\n",
      "69   44826                                       Hugo  Hugo is an orphan boy living in the walls of a...\n",
      "172  50620  The Twilight Saga: Breaking Dawn - Part 2  After the birth of Renesmee, the Cullens gathe...\n",
      "295  37710                                The Tourist  American tourist Frank (Johnny Depp) meets mys...\n",
      "350   4327                           Charlie's Angels  Aspects of this take on the 1970s hit TV serie...\n",
      "\n",
      "\n",
      "Cluster 38 summaries:\n",
      "       ID                    Title                                            Summary\n",
      "332  1995  Lara Croft: Tomb Raider  English aristocrat Lara Croft is skilled in ha...\n",
      "340  1408         Cutthroat Island  Morgan Adams and her slave, William Shaw, are ...\n",
      "\n",
      "\n",
      "Cluster 39 summaries:\n",
      "        ID                        Title                                            Summary\n",
      "6    38757                      Tangled  When the kingdom's most wanted-and most charmi...\n",
      "42   10193                  Toy Story 3  Woody, Buzz, and the rest of Andy's toys haven...\n",
      "76   14869  G.I. Joe: The Rise of Cobra  From the Egyptian desert to deep below the pol...\n",
      "261   1571        Live Free or Die Hard  John McClane is back and badder than ever, and...\n",
      "283  18487   The Taking of Pelham 1 2 3  Armed men hijack a New York City subway train,...\n",
      "\n",
      "\n",
      "Cluster 40 summaries:\n",
      "       ID               Title                                            Summary\n",
      "18  41154      Men in Black 3  Agents J (Will Smith) and K (Tommy Lee Jones) ...\n",
      "67  15512  Monsters vs Aliens  When Susan Murphy is unwittingly clobbered by ...\n",
      "\n",
      "\n",
      "Cluster 41 summaries:\n",
      "         ID                       Title                                            Summary\n",
      "164     944             Lethal Weapon 4  In the combustible action franchise's final in...\n",
      "279     280  Terminator 2: Judgment Day  Nearly 10 years have passed since Sarah Connor...\n",
      "307  138103           The Expendables 3  Barney, Christmas and the rest of the team com...\n",
      "\n",
      "\n",
      "Cluster 42 summaries:\n",
      "       ID       Title                                            Summary\n",
      "31  68721  Iron Man 3  When Tony Stark's world is torn apart by a for...\n",
      "\n",
      "\n",
      "Cluster 43 summaries:\n",
      "         ID                Title                                            Summary\n",
      "132   57165  Wrath of the Titans  A decade after his heroic defeat of the monstr...\n",
      "145     652                 Troy  In year 1250 B.C. during the late Bronze age, ...\n",
      "161  205584        Gods of Egypt  A common thief joins a mythical god on a quest...\n",
      "206   18823  Clash of the Titans  Born of a god but raised as a man, Perseus is ...\n",
      "\n",
      "\n",
      "Cluster 44 summaries:\n",
      "         ID                           Title                                            Summary\n",
      "24      254                       King Kong  In 1933 New York, an overly ambitious movie pr...\n",
      "54   105864               The Good Dinosaur  An epic journey into the world of dinosaurs wh...\n",
      "194   10567                        Dinosaur  An orphaned dinosaur raised by lemurs joins an...\n",
      "234   49519                      The Croods  The Croods is a prehistoric comedy adventure t...\n",
      "243    1593             Night at the Museum  Chaos reigns at the natural history museum whe...\n",
      "306   18162                Land of the Lost  On his latest expedition, Dr. Rick Marshall is...\n",
      "348    8355  Ice Age: Dawn of the Dinosaurs  Times are changing for Manny the moody mammoth...\n",
      "\n",
      "\n",
      "Cluster 45 summaries:\n",
      "         ID             Title                                            Summary\n",
      "128   13448   Angels & Demons  Harvard symbologist Robert Langdon investigate...\n",
      "140  117251  White House Down  Capitol Policeman John Cale has just been deni...\n",
      "163   13183          Watchmen  In a gritty and alternate 1985 the glory days ...\n",
      "\n",
      "\n",
      "Cluster 46 summaries:\n",
      "        ID               Title                                            Summary\n",
      "251  38745  Gulliver's Travels  Travel writer Lemuel Gulliver takes an assignm...\n",
      "319   9890  The Stepford Wives  What does it take to become a Stepford wife, a...\n",
      "\n",
      "\n",
      "Cluster 47 summaries:\n",
      "        ID                                              Title                                            Summary\n",
      "198  49524                                           R.I.P.D.  A recently slain cop joins a team of undead po...\n",
      "199     22  Pirates of the Caribbean: The Curse of the Bla...  Jack Sparrow, a freewheeling 17th-century pira...\n",
      "235   2395                       Asterix at the Olympic Games  Astérix and Obélix have to win the Olympic Gam...\n",
      "324  10501                              The Road to El Dorado  After a failed swindle, two con-men end up wit...\n",
      "\n",
      "\n",
      "Cluster 48 summaries:\n",
      "       ID   Title                                            Summary\n",
      "167  7364  Sahara  Scouring the ocean depths for treasure-laden s...\n",
      "\n",
      "\n",
      "Cluster 49 summaries:\n",
      "        ID                                      Title                                            Summary\n",
      "115   8960                                    Hancock  Hancock is a down-and-out superhero who's forc...\n",
      "117    118          Charlie and the Chocolate Factory  A young boy wins a tour through the most magni...\n",
      "233   1893  Star Wars: Episode I - The Phantom Menace  Anakin Skywalker, a young slave strong with th...\n",
      "347  22794          Cloudy with a Chance of Meatballs  Inventor Flint Lockwood creates a machine that...\n",
      "\n",
      "\n",
      "Cluster 50 summaries:\n",
      "        ID                                         Title                                            Summary\n",
      "39   20526                                  TRON: Legacy  Sam Flynn, the tech-savvy and daring son of Ke...\n",
      "168   2114             Final Fantasy: The Spirits Within  Led by a strange dream, scientist Aki Ross str...\n",
      "213    955                        Mission: Impossible II  With computer genius Luther Stickell at his si...\n",
      "229   1895  Star Wars: Episode III - Revenge of the Sith  Years after the onset of the Clone Wars, the n...\n",
      "259   1639                       Speed 2: Cruise Control  Sandra Bullock and Jason Patric star as a youn...\n",
      "\n",
      "\n",
      "Cluster 51 summaries:\n",
      "         ID                                  Title                                            Summary\n",
      "57    10681                                 WALL·E  WALL·E is the last robot left on an Earth that...\n",
      "71     1735  The Mummy: Tomb of the Dragon Emperor  Archaeologist Rick O'Connell travels to China,...\n",
      "83    79698                             The Lovers  The Lovers is an epic romance time travel adve...\n",
      "86    10192                    Shrek Forever After  A bored and domesticated Shrek pacts with deal...\n",
      "126   76338                   Thor: The Dark World  Thor fights to restore order across the cosmos...\n",
      "131   19585                                G-Force  A team of trained secret agent animals, guinea...\n",
      "146   80321     Madagascar 3: Europe's Most Wanted  Alex, Marty, Gloria and Melman are still tryin...\n",
      "169    1771     Captain America: The First Avenger  Predominantly set during World War II, Steve R...\n",
      "182  102899                                Ant-Man  Armed with the astonishing ability to shrink i...\n",
      "253   53182                 300: Rise of an Empire  Based on Frank Miller's latest graphic novel X...\n",
      "312   22972                             Green Zone  During the U.S.-led occupation of Baghdad in 2...\n",
      "323   37786                     Sex and the City 2  Carrie, Charlotte, and Miranda are all married...\n",
      "345    5175                            Rush Hour 2  It's vacation time for Carter as he finds hims...\n",
      "\n",
      "\n",
      "Cluster 52 summaries:\n",
      "        ID                      Title                                            Summary\n",
      "193  82700                After Earth  One thousand years after cataclysmic events fo...\n",
      "222  68724                    Elysium  In the year 2159, two classes of people exist:...\n",
      "223   2789  The Chronicles of Riddick  After years of outrunning ruthless bounty hunt...\n",
      "\n",
      "\n",
      "Cluster 53 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 54 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 55 summaries:\n",
      "         ID                                 Title                                            Summary\n",
      "27    44833                            Battleship  When mankind beams a radio signal into space, ...\n",
      "36    91314       Transformers: Age of Extinction  As humanity picks up the pieces, following the...\n",
      "88   177572                            Big Hero 6  The special bond that develops between plus-si...\n",
      "111    1858                          Transformers  Young teenager, Sam Witwicky becomes involved ...\n",
      "153   56292  Mission: Impossible - Ghost Protocol  In the 4th installment of the Mission Impossib...\n",
      "158   13475                             Star Trek  The fate of the galaxy rests in the hands of b...\n",
      "257   39254                            Real Steel  In the near-future, Charlie Kenton is a washed...\n",
      "\n",
      "\n",
      "Cluster 56 summaries:\n",
      "         ID                Title                                            Summary\n",
      "56   188927     Star Trek Beyond  The USS Enterprise crew explores the furthest ...\n",
      "165    1927                 Hulk  Bruce Banner, a genetics researcher with a tra...\n",
      "174    1724  The Incredible Hulk  Scientist Bruce Banner scours the planet for a...\n",
      "204   51497            Fast Five  Former cop Brian O'Conner partners with ex-con...\n",
      "327    7980     The Lovely Bones  After being brutally murdered, 14-year-old Sus...\n",
      "\n",
      "\n",
      "Cluster 57 summaries:\n",
      "        ID                                Title                                            Summary\n",
      "100   4922  The Curious Case of Benjamin Button  Tells the story of Benjamin Button, a man who ...\n",
      "139    956              Mission: Impossible III  Retired from active duty to train new IMF agen...\n",
      "356  10528                      Sherlock Holmes  Eccentric consulting detective, Sherlock Holme...\n",
      "\n",
      "\n",
      "Cluster 58 summaries:\n",
      "         ID                                     Title                                            Summary\n",
      "15     2454  The Chronicles of Narnia: Prince Caspian  One year after their incredible adventures in ...\n",
      "106     810                           Shrek the Third  The King of Far Far Away has died and Shrek an...\n",
      "138   10196                        The Last Airbender  The story follows the adventures of Aang, a yo...\n",
      "144   82703                     Mr. Peabody & Sherman  A young boy and his dog, who happens to have a...\n",
      "151    2310                                   Beowulf  6th-century Scandinavian warrior, Beowulf emba...\n",
      "170   36643                   The World Is Not Enough  Greed, revenge, world dominance and high-tech ...\n",
      "289   11688                  The Emperor's New Groove  Kuzco is a self-centered emperor who summons P...\n",
      "326  150689                                Cinderella  When her father unexpectedly passes away, youn...\n",
      "336    8204                 The Spiderwick Chronicles  Upon moving into the run-down Spiderwick Estat...\n",
      "\n",
      "\n",
      "Cluster 59 summaries:\n",
      "        ID              Title                                            Summary\n",
      "112   1966          Alexander  Alexander, the King of Macedonia, leads his le...\n",
      "281   4982  American Gangster  Following the death of his employer and mentor...\n",
      "297   1372      Blood Diamond  An ex-mercenary turned smuggler. A Mende fishe...\n",
      "321  77953       The Campaign  Two rival politicians compete to win an electi...\n",
      "\n",
      "\n",
      "Cluster 60 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 61 summaries:\n",
      "         ID                            Title                                            Summary\n",
      "32    12155              Alice in Wonderland  Alice, an unpretentious and individual 19-year...\n",
      "105  241259  Alice Through the Looking Glass  In the sequel to Tim Burton's \"Alice in Wonder...\n",
      "\n",
      "\n",
      "Cluster 62 summaries:\n",
      "         ID                                  Title                                            Summary\n",
      "102  131634  The Hunger Games: Mockingjay - Part 2  With the nation of Panem in a full scale war, ...\n",
      "119     272                          Batman Begins  Driven by tragedy, billionaire Bruce Wayne ded...\n",
      "200  131631  The Hunger Games: Mockingjay - Part 1  Katniss Everdeen reluctantly becomes the symbo...\n",
      "249  262500                              Insurgent  Beatrice Prior must confront her inner demons ...\n",
      "256  262504                              Allegiant  Beatrice Prior and Tobias Eaton venture into t...\n",
      "278     869                     Planet of the Apes  After a spectacular crash-landing on an unchar...\n",
      "\n",
      "\n",
      "Cluster 63 summaries:\n",
      "       ID                                            Title                                            Summary\n",
      "171  8619  Master and Commander: The Far Side of the World  After an abrupt and violent encounter with a F...\n",
      "\n",
      "\n",
      "Cluster 64 summaries:\n",
      "        ID         Title                                            Summary\n",
      "16   24428  The Avengers  When an unexpected enemy emerges and threatens...\n",
      "129  10195          Thor  Against his father Odin's will, The Mighty Tho...\n",
      "\n",
      "\n",
      "Cluster 65 summaries:\n",
      "        ID                       Title                                            Summary\n",
      "33   36668       X-Men: The Last Stand  When a cure is found to treat mutations, lines...\n",
      "46  127585  X-Men: Days of Future Past  The ultimate X-Men ensemble fights a war for t...\n",
      "\n",
      "\n",
      "Cluster 66 summaries:\n",
      "         ID                      Title                                            Summary\n",
      "34    62211        Monsters University  A look at the relationship between Mike and Su...\n",
      "66    14160                         Up  Carl Fredricksen spent his entire life dreamin...\n",
      "77   150540                 Inside Out  Growing up can be a bumpy road, and it's no ex...\n",
      "258   77931               The Smurfs 2  The evil wizard Gargamel creates a couple of m...\n",
      "269   10198  The Princess and the Frog  A waitress, desperate to fulfill her dreams as...\n",
      "\n",
      "\n",
      "Cluster 67 summaries:\n",
      "        ID            Title                                            Summary\n",
      "136   5559        Bee Movie  Barry B. Benson, a bee who has just graduated ...\n",
      "226  42888  How Do You Know  After being cut from the USA softball team and...\n",
      "303    314         Catwoman  Liquidated after discovering a corporate consp...\n",
      "\n",
      "\n",
      "Cluster 68 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 69 summaries:\n",
      "        ID                         Title                                            Summary\n",
      "209  49040             The Bourne Legacy  New CIA operative, Aaron Cross experiences lif...\n",
      "268  10137                 Stuart Little  The adventures of a heroic and debonair stalwa...\n",
      "277  36557                 Casino Royale  Le Chiffre, a banker to the world's terrorists...\n",
      "311  11692  The Adventures of Pluto Nash  The year is 2087, the setting is the moon. Plu...\n",
      "\n",
      "\n",
      "Cluster 70 summaries:\n",
      "         ID                   Title                                            Summary\n",
      "28   135397          Jurassic World  Twenty-two years after the events of Jurassic ...\n",
      "212     435  The Day After Tomorrow  After years of increases in the greenhouse eff...\n",
      "240    9619            Dante's Peak  Volcanologist Harry Dalton comes to the sleepy...\n",
      "244  254128             San Andreas  In the aftermath of a massive earthquake in Ca...\n",
      "287   68718        Django Unchained  With the help of a German bounty hunter, a fre...\n",
      "\n",
      "\n",
      "Cluster 71 summaries:\n",
      "         ID                     Title                                            Summary\n",
      "38   102382  The Amazing Spider-Man 2  For Peter Parker, life is busy. Between taking...\n",
      "49    64682          The Great Gatsby  An adaptation of F. Scott Fitzgerald's Long Is...\n",
      "137   49444           Kung Fu Panda 2  Po is now living his dream as The Dragon Warri...\n",
      "333  157353             Transcendence  Two leading computer scientists work toward th...\n",
      "\n",
      "\n",
      "Cluster 72 summaries:\n",
      "        ID                            Title                                            Summary\n",
      "3    49026            The Dark Knight Rises  Following the death of District Attorney Harve...\n",
      "219   9471  Charlie's Angels: Full Throttle  The Angels are charged with finding a pair of ...\n",
      "\n",
      "\n",
      "Cluster 73 summaries:\n",
      "         ID                         Title                                            Summary\n",
      "44   168259                     Furious 7  Deckard Shaw seeks revenge against Dominic Tor...\n",
      "103   27022     The Sorcerer's Apprentice  Balthazar Blake is a master sorcerer in modern...\n",
      "192    6972                     Australia  Set in northern Australia before World War II,...\n",
      "201     591             The Da Vinci Code  When the curator of the Louvre is found murder...\n",
      "216   87827                    Life of Pi  The story of an Indian boy named Pi, a zookeep...\n",
      "238   98566  Teenage Mutant Ninja Turtles  The city needs heroes. Darkness has settled ov...\n",
      "296    9946                   End of Days  On December 28th, 1999, the citizens of New Yo...\n",
      "322      18             The Fifth Element  In 2257, a taxi driver is unintentionally give...\n",
      "\n",
      "\n",
      "Cluster 74 summaries:\n",
      "         ID                                              Title                                            Summary\n",
      "37    68728                         Oz: The Great and Powerful  Oscar Diggs, a small-time circus illusionist a...\n",
      "107   68735                                           Warcraft  The peaceful realm of Azeroth stands on the br...\n",
      "109   10140  The Chronicles of Narnia: The Voyage of the Da...  This time around Edmund and Lucy Pevensie, alo...\n",
      "143  266647                                                Pan  Living a bleak existence at a London orphanage...\n",
      "237  290595                         The Huntsman: Winter's War  As two evil sisters prepare to conquer the lan...\n",
      "254   41513                                         The Smurfs  When the evil wizard Gargamel chases the tiny ...\n",
      "331   68737                                        Seventh Son  John Gregory, who is a seventh son of a sevent...\n",
      "\n",
      "\n",
      "Cluster 75 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 76 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 77 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 78 summaries:\n",
      "        ID                                          Title                                            Summary\n",
      "221  10996                                Stuart Little 2  Stuart, an adorable white mouse, still lives h...\n",
      "302  41216  Legend of the Guardians: The Owls of Ga'Hoole  Soren, a young barn owl, is kidnapped by owls ...\n",
      "\n",
      "\n",
      "Cluster 79 summaries:\n",
      "         ID                                        Title                                            Summary\n",
      "0     19995                                       Avatar  In the 22nd century, a paraplegic Marine is di...\n",
      "17     1865  Pirates of the Caribbean: On Stranger Tides  Captain Jack Sparrow crosses paths with a woma...\n",
      "19   122917    The Hobbit: The Battle of the Five Armies  Immediately after the events of The Desolation...\n",
      "92    10191                     How to Train Your Dragon  As the son of a Viking leader on the cusp of m...\n",
      "160   82702                   How to Train Your Dragon 2  The thrilling second chapter of the epic How T...\n",
      "166   72559                        G.I. Joe: Retaliation  Framed for crimes against the country, the G.I...\n",
      "274      98                                    Gladiator  In the year 180, the death of emperor Marcus A...\n",
      "304  184315                                     Hercules  Fourteen hundred years ago, a tormented soul w...\n",
      "\n",
      "\n",
      "Cluster 80 summaries:\n",
      "         ID                 Title                                            Summary\n",
      "95   157336          Interstellar  Interstellar chronicles the adventures of a gr...\n",
      "118    2062           Ratatouille  A rat named Remy dreams of becoming a great Fr...\n",
      "290   76163     The Expendables 2  Mr. Church reunites the Expendables for what s...\n",
      "314   29193  The Spanish Prisoner  An employee of a corporation with a lucrative ...\n",
      "\n",
      "\n",
      "Cluster 81 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 82 summaries:\n",
      "        ID                            Title                                            Summary\n",
      "40   49013                           Cars 2  Star race car Lightning McQueen and his pal Ma...\n",
      "135   7978                      The Wolfman  Lawrence Talbot, an American man on a visit to...\n",
      "155   7552           Fun with Dick and Jane  After Dick Harper loses his job at Globodyne i...\n",
      "224  97020                          RoboCop  In RoboCop, the year is 2028 and multinational...\n",
      "273   9679            Gone in Sixty Seconds  Upon learning that he has to come out of retir...\n",
      "354  65754  The Girl with the Dragon Tattoo  This English-language adaptation of the Swedis...\n",
      "\n",
      "\n",
      "Cluster 83 summaries:\n",
      "         ID                           Title                                            Summary\n",
      "23     2268              The Golden Compass  After overhearing a shocking secret, precociou...\n",
      "73     2698                   Evan Almighty  God contacts Congressman Evan Baxter and tells...\n",
      "78   278927                 The Jungle Book  After a threat from the tiger Shere Khan force...\n",
      "130   13053                            Bolt  Bolt is the star of the biggest show in Hollyw...\n",
      "178   44896                           Rango  When Rango, a lost family pet, accidentally wi...\n",
      "335   61791  Rise of the Planet of the Apes  Scientist Will Rodman is determined to find a ...\n",
      "\n",
      "\n",
      "Cluster 84 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 85 summaries:\n",
      "        ID              Title                                            Summary\n",
      "141  50321    Mars Needs Moms  When Martians suddenly abduct his mom, mischie...\n",
      "334    331  Jurassic Park III  In need of funds for research, Dr. Alan Grant ...\n",
      "\n",
      "\n",
      "Cluster 86 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 87 summaries:\n",
      "      ID                                  Title                                            Summary\n",
      "330  121  The Lord of the Rings: The Two Towers  Frodo and Sam are trekking to Mordor to destro...\n",
      "\n",
      "\n",
      "Cluster 88 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 89 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 90 summaries:\n",
      "        ID                                   Title                                            Summary\n",
      "215   1979  Fantastic 4: Rise of the Silver Surfer  The Fantastic Four return to the big screen as...\n",
      "231    585                          Monsters, Inc.  James Sullivan and Mike Wazowski are monsters,...\n",
      "284  39451                          Little Fockers  It has taken 10 years, two little Fockers with...\n",
      "309  10214                         Son of the Mask  Tim Avery, an aspiring cartoonist, finds himse...\n",
      "315   1734                       The Mummy Returns  Rick and Evelyn O'Connell, along with their 8 ...\n",
      "\n",
      "\n",
      "Cluster 91 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 92 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 93 summaries:\n",
      "         ID                                         Title                                            Summary\n",
      "183  101299               The Hunger Games: Catching Fire  Katniss Everdeen has returned home safe after ...\n",
      "230    1894  Star Wars: Episode II - Attack of the Clones  Ten years after the invasion of Naboo, the gal...\n",
      "247     163                                Ocean's Twelve  Danny Ocean reunites with his old flame and th...\n",
      "272   24113                                Town & Country  Porter Stoddard is a well-known New York archi...\n",
      "\n",
      "\n",
      "Cluster 94 summaries:\n",
      "        ID                                              Title                                            Summary\n",
      "53     217  Indiana Jones and the Kingdom of the Crystal S...  Set during the Cold War, the Soviets – led by ...\n",
      "190  17578                           The Adventures of Tintin  Intrepid young reporter, Tintin and his loyal ...\n",
      "291   2059                                  National Treasure  Modern treasure hunters, led by archaeologist ...\n",
      "299    414                                     Batman Forever  The Dark Knight of Gotham City confronts a das...\n",
      "\n",
      "\n",
      "Cluster 95 summaries:\n",
      "        ID         Title                                            Summary\n",
      "133  62213  Dark Shadows  Vampire Barnabas Collins is inadvertently free...\n",
      "148  43074  Ghostbusters  Following a ghost invasion of Manhattan, paran...\n",
      "\n",
      "\n",
      "Cluster 96 summaries:\n",
      "         ID           Title                                            Summary\n",
      "116    6479     I Am Legend  Robert Neville is a scientist who was unable t...\n",
      "218  324668    Jason Bourne  The most dangerous former operative of the CIA...\n",
      "285   27581  The Other Guys  NYPD detectives Christopher Danson (Johnson) a...\n",
      "\n",
      "\n",
      "Cluster 97 summaries:\n",
      "         ID                                             Title                                            Summary\n",
      "241  308531  Teenage Mutant Ninja Turtles: Out of the Shadows  After supervillain Shredder escapes custody, h...\n",
      "\n",
      "\n",
      "Cluster 98 summaries:\n",
      "       ID                        Title                                            Summary\n",
      "80  58595  Snow White and the Huntsman  After the Evil Queen marries the King, she per...\n",
      "\n",
      "\n",
      "Cluster 99 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 100 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 101 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 102 summaries:\n",
      "        ID                       Title                                            Summary\n",
      "4    49529                 John Carter  John Carter is a war-weary, former military ca...\n",
      "13   57201             The Lone Ranger  The Texas Rangers chase down a gang of outlaws...\n",
      "248    787            Mr. & Mrs. Smith  After five (or six) years of vanilla-wedded bl...\n",
      "252  40805            The Green Hornet  Britt Reid (Seth Rogen), the heir to the large...\n",
      "271   1635                  The Island  In 2019, Lincoln Six-Echo is a resident of a s...\n",
      "337  47964      A Good Day to Die Hard  Iconoclastic, take-no-prisoners cop John McCla...\n",
      "355   1572  Die Hard: With a Vengeance  New York detective John McClane is back and ki...\n",
      "\n",
      "\n",
      "Cluster 103 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 104 summaries:\n",
      "       ID              Title                                            Summary\n",
      "90   5255  The Polar Express  When a doubting young boy takes an extraordina...\n",
      "214  2133  The Perfect Storm  In October 1991, a confluence of weather condi...\n",
      "\n",
      "\n",
      "Cluster 105 summaries:\n",
      "         ID           Title                                            Summary\n",
      "41    44912   Green Lantern  For centuries, a small but powerful force of w...\n",
      "159     557      Spider-Man  After being bitten by a genetically altered sp...\n",
      "181    9502   Kung Fu Panda  When the Valley of Peace is threatened, lazy P...\n",
      "242  166424  Fantastic Four  Four young outsiders teleport to a dangerous u...\n",
      "\n",
      "\n",
      "Cluster 106 summaries:\n",
      "       ID        Title                                            Summary\n",
      "246  2024  The Patriot  After proving himself on the field of battle i...\n",
      "\n",
      "\n",
      "Cluster 107 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 108 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 109 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 110 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 111 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 112 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 113 summaries:\n",
      "        ID                 Title                                            Summary\n",
      "30     558          Spider-Man 2  Peter Parker is going through a major identity...\n",
      "142  11619          Flushed Away  London high-society mouse, Roddy is flushed do...\n",
      "149     95            Armageddon  When an asteroid threatens to collide with Ear...\n",
      "180   2503  The Bourne Ultimatum  Bourne is brought out of hiding once again by ...\n",
      "316   3131     Gangs of New York  It's 1863. America was born in the streets. Am...\n",
      "\n",
      "\n",
      "Cluster 114 summaries:\n",
      "         ID                                              Title                                            Summary\n",
      "55    62177                                              Brave  Brave is set in the mystical Scottish Highland...\n",
      "89    82690                                     Wreck-It Ralph  Wreck-It Ralph is the 9-foot-tall, 643-pound v...\n",
      "176  281957                                       The Revenant  In the 1820s, a frontiersman, Hugh Glass, sets...\n",
      "187  417859                                      Puss in Boots  Long before he even met Shrek, the notorious f...\n",
      "262     120  The Lord of the Rings: The Fellowship of the Ring  Young hobbit Frodo Baggins, after inheriting a...\n",
      "\n",
      "\n",
      "Cluster 115 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 116 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 117 summaries:\n",
      "       ID                           Title                                            Summary\n",
      "211  8871  How the Grinch Stole Christmas  Inside a snowflake exists the magical land of ...\n",
      "\n",
      "\n",
      "Cluster 118 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n",
      "Cluster 119 summaries:\n",
      "Empty DataFrame\n",
      "Columns: [ID, Title, Summary]\n",
      "Index: []\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.decomposition import PCA\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Reshape the processed_data_array\n",
    "num_samples, embedding_dim = all_embeddings.shape\n",
    "\n",
    "reshaped_data_array = all_embeddings.reshape(num_samples, embedding_dim)\n",
    "\n",
    "# PCA for dimension reduction\n",
    "pca = PCA(n_components=2)\n",
    "reduced_data = pca.fit_transform(reshaped_data_array)\n",
    "\n",
    "# Create a DataFrame for easy plotting\n",
    "df = pd.DataFrame(reduced_data, columns=['x', 'y'])\n",
    "df['label'] = clustering.labels_\n",
    "df['Title'] = titles\n",
    "df['Summary'] = summaries\n",
    "df['ID'] = ids\n",
    "\n",
    "# Plot using seaborn\n",
    "plt.figure(figsize=(10, 10))\n",
    "sns.scatterplot(data=df, x='x', y='y', hue='label', palette='viridis', legend=True)\n",
    "plt.show()\n",
    "\n",
    "pd.set_option('display.width', 1000)\n",
    "pd.set_option('display.max_colwidth', 50)\n",
    "\n",
    "# Print out summaries from each cluster\n",
    "for i in range(number_of_clusters):  # Change this range depending on which clusters you want to look at\n",
    "    print(f'Cluster {i} summaries:')\n",
    "    print(df[df['label'] == i][['ID', 'Title', 'Summary']])\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cfa75727",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-07T01:28:41.973538Z",
     "iopub.status.busy": "2023-06-07T01:28:41.973152Z",
     "iopub.status.idle": "2023-06-07T01:28:41.977780Z",
     "shell.execute_reply": "2023-06-07T01:28:41.976728Z"
    },
    "papermill": {
     "duration": 0.028828,
     "end_time": "2023-06-07T01:28:41.979912",
     "exception": false,
     "start_time": "2023-06-07T01:28:41.951084",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Get largest cluster size\n",
    "\n",
    "# cluster_counts = df['label'].value_counts()\n",
    "# largest_cluster = cluster_counts.idxmax()\n",
    "# largest_cluster_size = cluster_counts.max()\n",
    "\n",
    "# print(f\"The largest cluster is: {largest_cluster} with size: {largest_cluster_size}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 3438.982102,
   "end_time": "2023-06-07T01:28:47.477113",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-06-07T00:31:28.495011",
   "version": "2.4.0"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "0091ed5964bd43348dd49f0598b0061e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "01f24b71892b460daf903fd144b022c9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0be7bcd9cf094f8a98ebab3193f4fd98": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_f90c7a8798b24947b7be6eaf1b45430c",
       "placeholder": "​",
       "style": "IPY_MODEL_1e8040d57af34526ad464bf4b0b76604",
       "tabbable": null,
       "tooltip": null,
       "value": "Downloading (…)lve/main/config.json: 100%"
      }
     },
     "0fa0b571e20c4996ae1ed086f8f36a24": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_0be7bcd9cf094f8a98ebab3193f4fd98",
        "IPY_MODEL_26b1e588932f4bbdbe72e6674f64c98d",
        "IPY_MODEL_35e33bc9e371488d8386bba6a730cbb0"
       ],
       "layout": "IPY_MODEL_8a1c0f80109745219cb37743e0e05194",
       "tabbable": null,
       "tooltip": null
      }
     },
     "10a81bf1f29e4ea989f2dbbdf641913b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "110314d60fed4ef0a5f6068dd6e99385": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "115fd7b61c3a4f3986bdaf4be2d5d74e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_f05aac20a5134ea78e3fcdba5ff7451f",
       "placeholder": "​",
       "style": "IPY_MODEL_96c6ed867c164a30a9af3e2ac8d38b75",
       "tabbable": null,
       "tooltip": null,
       "value": "Downloading (…)olve/main/merges.txt: 100%"
      }
     },
     "1b678f7fbed64dee96cb563b1214978b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1e396a81d48b4153824495c81a363198": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "1e8040d57af34526ad464bf4b0b76604": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "22760459083042678c52a1c2c9792f51": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "25c7ff389311423dadda9a056c36fcc7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "262a3e01461e4f4484406c5f329c1720": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_8ef2d2a061e04ef3bcfbdbd06be14d5f",
        "IPY_MODEL_c933fb59347e462c9c831bace2aa97bf",
        "IPY_MODEL_4e16821d516e40978fbcd99210181754"
       ],
       "layout": "IPY_MODEL_25c7ff389311423dadda9a056c36fcc7",
       "tabbable": null,
       "tooltip": null
      }
     },
     "26b1e588932f4bbdbe72e6674f64c98d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_60bb818631c7426da3c6d78b621b729b",
       "max": 694.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_0091ed5964bd43348dd49f0598b0061e",
       "tabbable": null,
       "tooltip": null,
       "value": 694.0
      }
     },
     "34ff456613ff49de8a34fb427605a4eb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_d128e6abfd7b40a8861798ac649e80dc",
        "IPY_MODEL_6dc7f5068e8544afb345ea3dfa77918b",
        "IPY_MODEL_809c3d4a5caa4afc9cd662fb2f35109e"
       ],
       "layout": "IPY_MODEL_1b678f7fbed64dee96cb563b1214978b",
       "tabbable": null,
       "tooltip": null
      }
     },
     "35e33bc9e371488d8386bba6a730cbb0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_ca2e1417973c4746a6323ec9e5e518e2",
       "placeholder": "​",
       "style": "IPY_MODEL_51d06b66490c4886a4cf0748970fea43",
       "tabbable": null,
       "tooltip": null,
       "value": " 694/694 [00:00&lt;00:00, 32.7kB/s]"
      }
     },
     "3a30b403aa3a4613baff54ab4bcd6ca6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_635e4e3a8e8748a6a8665cae279895b9",
       "placeholder": "​",
       "style": "IPY_MODEL_dcb82737af9b49389f88068c4be65986",
       "tabbable": null,
       "tooltip": null,
       "value": " 456k/456k [00:00&lt;00:00, 27.0MB/s]"
      }
     },
     "456fb5bcc30048fe993b1f334c2737cd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_110314d60fed4ef0a5f6068dd6e99385",
       "max": 456318.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_809e95b59ba84fff8ed609a23e19a2d1",
       "tabbable": null,
       "tooltip": null,
       "value": 456318.0
      }
     },
     "4727d04547704ff2aac0ab189c8e9664": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "4e16821d516e40978fbcd99210181754": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_10a81bf1f29e4ea989f2dbbdf641913b",
       "placeholder": "​",
       "style": "IPY_MODEL_4727d04547704ff2aac0ab189c8e9664",
       "tabbable": null,
       "tooltip": null,
       "value": " 765M/765M [00:03&lt;00:00, 214MB/s]"
      }
     },
     "51d06b66490c4886a4cf0748970fea43": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "52818afee4144be686bb63bd2b48b857": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5341cb7a4e1d4d57a4496614e9cb2ccf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "60bb818631c7426da3c6d78b621b729b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "635e4e3a8e8748a6a8665cae279895b9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "63fea159f6244c218264e346ca648fed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "676e69c4fc574194b2531c8500fa8715": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "6dc7f5068e8544afb345ea3dfa77918b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_da76cd21bfd7490d94859ca0cb4d965a",
       "max": 898823.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_1e396a81d48b4153824495c81a363198",
       "tabbable": null,
       "tooltip": null,
       "value": 898823.0
      }
     },
     "809c3d4a5caa4afc9cd662fb2f35109e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_cb011eb103de4cf58e2543925ea89b12",
       "placeholder": "​",
       "style": "IPY_MODEL_5341cb7a4e1d4d57a4496614e9cb2ccf",
       "tabbable": null,
       "tooltip": null,
       "value": " 899k/899k [00:00&lt;00:00, 13.4MB/s]"
      }
     },
     "809e95b59ba84fff8ed609a23e19a2d1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "8a1c0f80109745219cb37743e0e05194": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8ef2d2a061e04ef3bcfbdbd06be14d5f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_01f24b71892b460daf903fd144b022c9",
       "placeholder": "​",
       "style": "IPY_MODEL_63fea159f6244c218264e346ca648fed",
       "tabbable": null,
       "tooltip": null,
       "value": "Downloading tf_model.h5: 100%"
      }
     },
     "96c6ed867c164a30a9af3e2ac8d38b75": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "acec4a4528b649e18dfbc571b012cde1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c3e3c42825374b899a4bc2cea80cdc87": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "c933fb59347e462c9c831bace2aa97bf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_22760459083042678c52a1c2c9792f51",
       "max": 764566772.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_c3e3c42825374b899a4bc2cea80cdc87",
       "tabbable": null,
       "tooltip": null,
       "value": 764566772.0
      }
     },
     "ca2e1417973c4746a6323ec9e5e518e2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "cb011eb103de4cf58e2543925ea89b12": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d128e6abfd7b40a8861798ac649e80dc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_allow_html": false,
       "layout": "IPY_MODEL_acec4a4528b649e18dfbc571b012cde1",
       "placeholder": "​",
       "style": "IPY_MODEL_676e69c4fc574194b2531c8500fa8715",
       "tabbable": null,
       "tooltip": null,
       "value": "Downloading (…)olve/main/vocab.json: 100%"
      }
     },
     "d9e9fb03541f49459266166198d237fd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_115fd7b61c3a4f3986bdaf4be2d5d74e",
        "IPY_MODEL_456fb5bcc30048fe993b1f334c2737cd",
        "IPY_MODEL_3a30b403aa3a4613baff54ab4bcd6ca6"
       ],
       "layout": "IPY_MODEL_52818afee4144be686bb63bd2b48b857",
       "tabbable": null,
       "tooltip": null
      }
     },
     "da76cd21bfd7490d94859ca0cb4d965a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "dcb82737af9b49389f88068c4be65986": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HTMLStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HTMLStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "background": null,
       "description_width": "",
       "font_size": null,
       "text_color": null
      }
     },
     "f05aac20a5134ea78e3fcdba5ff7451f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f90c7a8798b24947b7be6eaf1b45430c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}