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{"cells":[{"cell_type":"markdown","metadata":{"id":"BGKCW074dTy2"},"source":["# Harvard USPTO Dataset Training"]},{"cell_type":"markdown","metadata":{"id":"6IttmojFdTy4"},"source":["## Preprocessing USPTO Data"]},{"cell_type":"markdown","source":["### Importing the Dataset\n","\n","We first need to import the actual USPTO dataset."],"metadata":{"id":"rJ6oNXYiOtC3"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1UCFBK0OdTy5","executionInfo":{"status":"ok","timestamp":1682021338971,"user_tz":240,"elapsed":13759,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"87e553e1-6593-4b2d-e578-2a4e4e742d9b"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting datasets\n"," Downloading datasets-2.11.0-py3-none-any.whl (468 kB)\n","\u001b[2K 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pandas->datasets) (2022.7.1)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n","Installing collected packages: xxhash, multidict, frozenlist, dill, async-timeout, yarl, responses, multiprocess, huggingface-hub, aiosignal, aiohttp, datasets\n","Successfully installed aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 datasets-2.11.0 dill-0.3.6 frozenlist-1.3.3 huggingface-hub-0.13.4 multidict-6.0.4 multiprocess-0.70.14 responses-0.18.0 xxhash-3.2.0 yarl-1.8.2\n"]}],"source":["!pip install datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"V20AfVn8dTy6"},"outputs":[],"source":["from datasets import load_dataset\n","import pandas as pd\n","import numpy as np\n","import os\n","import json\n","import torch\n","import sys"]},{"cell_type":"markdown","metadata":{"id":"DALhUYBydTy7"},"source":["### Loading the Dataset\n","\n","We need to extract the dataset. We filter only for those in January 2016."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":474,"referenced_widgets":["9f321834b0bc4bc1ac089f9813fc0fb1","12e47c63e2fb4596b645c252e9756899","043c0260b1e14a129feab90cff5ef099","ddba4a3380794815a732bd1a453c925c","8d6813d2f8ec401d85e599eadc8dc093","4dca0683fdc5459e88f6687f3196af7f","0dba55c366e44537adf4048c24391786","6695e22c05d548139e71029524c0bc68","2a7b1a0f1e94446bb343979d86264f0c","155a8f30bf6f4bbcb491dda1ad722c3b","aa0b1c2f45104fc5b59e1704bce27e5f","06a520a78f5d4b95982a476b29734cbf","c5be3bfd001346af8d33caf0a64efc7f","de1f71b45aba42e4a807100c4a8bf81f","6eee3b7c1ce9453e8c73f568537d5ac8","8f895536b733460d9ad2987333e3733b","e05d3a3d645948a3b2745cac3d5aa737","da25e097845440948f1d3ec1096f2a99","5cfa97b42072490f8ab4d5f60e0a1792","22f78b57f5604f928475f9a81d723baf","87b97444ca194dd18f1a5bd6e4082fb1","de9855ff33fb41b58ef21fbb26f81b85","9a74f42973b34203af1100702e07c28f","08d60a39b36942c184664157f738c5f0","fc886230dc454a72a3b2954f9818e9e8","482f58d514734fd2aa1d82693c7d5c34","f52a0089a4494e719c54289ff33a1c04","c2f38dc161184b16ba930c2362bc8e3b","e0f8f41cd81647908c645f76483148e5","2326d9dbc48b40769dcde81195324f40","0887166927dd4805ae3346c3158be0d2","04f4e59cfdfe492c9644dd99f46910e9","5cfce12745f44e5a9c94b72120170915","d7bfd7f1e624447a9c1eea68116d915b","6a337183787b43ec8634dc0c5b95bd72","7dd3444c8a754737b4ed1c8f64f68601","d9c18d34c6b249b78fcbace6d79cbdec","52879a2ff4864ba084a15fe02ab8b1fa","a90a02a84860461789ad04c386cdf44e","8cc2a2fe26534066a3a778704cc5984b","754c5121d01646c4aa4284df0eb9bb4f","b957825a21c2412a9b0101869d1f44d8","9f145dfa3f6347a7ab46aaa5fb294ea1","85d3c680e7424ab99c5153f315ac51a0","18d0fb273b444854a97ddb941859e0bc","fedd62c855344bbc931485f1bed1bb20","3cd64accf6104e5f8a3ad59381650a61","d39610354db4493f9f33405267b50179","c82c7f9596a746b6a91435ddfe2801f5","453092a5a76540f2b7561c3f4f84f8b2","ba82d11406a2498ba8948b5729fb4935","50863c3f09e343a9970b73dc70abba90","269546507c224a049088863d503401b1","0cd095c293104c67996f52685a29b7e9","f4c9a13af4cd478bacedd30ee2d81b8d","f9ef1b3c4aa54426af822c5f8420f2ca","28f10c7180d24373ad411015ef51d68c","59139bbd088c4804a9c8213afc3ddf21","a6c68f2b636b4b10ab7f846a789b00aa","417d14969aa141c885ae6ddd6b554324","345e90b85bb542168925cc014a1780ff","0c2447ec9c2346feb9d9d34ad6f5ec89","2c3ac49e5ace478ea09109090519aa65","984011a4cf53494baca77e2847c1a6ec","0ad51ba66c3a48a2bf44a58c63d6f6b8","f71dc5f4ba95461eafff245393c29efb","422a18bc728147cfab41a3d434784b87","8e84ffdf79144dee93ec82a857d8abf8","a6de06c9f8c9494abd2c5146a151abf4","b707d410fc0b46be82513a3156c864ec","7cdeb5f8b21f42549d6919f0a140697a","8fe2841c26c947c28479cd459ae5edff","d40cdc8dac2b40429bd92e6330916ed5","f8c2274beb1d47e1a2e8d76d3f2babe1","a0ade24bceb54a7daedc48858588590a","895d67eeac0f46edb926a8bdd33f419b","21d8d59ca7304455aae43a23c7cbbbe8"]},"id":"d-bfQ8MsdTy8","executionInfo":{"status":"ok","timestamp":1682021405537,"user_tz":240,"elapsed":56565,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"734dcb4b-d924-479d-909c-ef907c2284c8"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading builder script: 0%| | 0.00/14.7k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9f321834b0bc4bc1ac089f9813fc0fb1"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading readme: 0%| | 0.00/10.9k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"06a520a78f5d4b95982a476b29734cbf"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Downloading and preparing dataset hupd/sample to /root/.cache/huggingface/datasets/HUPD___hupd/sample-a4eeba92b4229e93/0.0.0/6920d2def8fd7767046c0470603357f76866e5a09c97e19571896bfdca521142...\n","Loading dataset with config: PatentsConfig(name='sample', version=0.0.0, data_dir='sample', data_files={'train': ['https://huggingface.co/datasets/HUPD/hupd/blob/main/hupd_metadata_2022-02-22.feather']}, description='Patent data from January 2016, for debugging')\n"]},{"output_type":"display_data","data":{"text/plain":["Downloading data: 0%| | 0.00/6.67M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9a74f42973b34203af1100702e07c28f"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Using metadata file: /root/.cache/huggingface/datasets/downloads/bac34b767c2799633010fa78ecd401d2eeffd62eff58abdb4db75829f8932710\n"]},{"output_type":"display_data","data":{"text/plain":["Downloading data: 0%| | 0.00/388M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"d7bfd7f1e624447a9c1eea68116d915b"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Reading metadata file: /root/.cache/huggingface/datasets/downloads/bac34b767c2799633010fa78ecd401d2eeffd62eff58abdb4db75829f8932710\n","Filtering train dataset by filing start date: 2016-01-01\n","Filtering train dataset by filing end date: 2016-01-21\n","Filtering val dataset by filing start date: 2016-01-22\n","Filtering val dataset by filing end date: 2016-01-31\n"]},{"output_type":"display_data","data":{"text/plain":["Generating train split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"18d0fb273b444854a97ddb941859e0bc"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating validation split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f9ef1b3c4aa54426af822c5f8420f2ca"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Dataset hupd downloaded and prepared to /root/.cache/huggingface/datasets/HUPD___hupd/sample-a4eeba92b4229e93/0.0.0/6920d2def8fd7767046c0470603357f76866e5a09c97e19571896bfdca521142. Subsequent calls will reuse this data.\n"]},{"output_type":"display_data","data":{"text/plain":[" 0%| | 0/2 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"422a18bc728147cfab41a3d434784b87"}},"metadata":{}}],"source":["dataset_dict = load_dataset('HUPD/hupd',\n"," name='sample',\n"," data_files=\"https://huggingface.co/datasets/HUPD/hupd/blob/main/hupd_metadata_2022-02-22.feather\", \n"," icpr_label=None,\n"," train_filing_start_date='2016-01-01',\n"," train_filing_end_date='2016-01-21',\n"," val_filing_start_date='2016-01-22',\n"," val_filing_end_date='2016-01-31',\n",")"]},{"cell_type":"markdown","metadata":{"id":"No0GXCF9dTy8"},"source":["We print out the dataset to understand what exactly we want to look for"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2vAINVw8dTy9","executionInfo":{"status":"ok","timestamp":1682021405538,"user_tz":240,"elapsed":11,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"49141a02-dbe3-40ea-e035-1b8a8034940e"},"outputs":[{"output_type":"stream","name":"stdout","text":["DatasetDict({\n"," train: Dataset({\n"," features: ['patent_number', 'decision', 'title', 'abstract', 'claims', 'background', 'summary', 'description', 'cpc_label', 'ipc_label', 'filing_date', 'patent_issue_date', 'date_published', 'examiner_id'],\n"," num_rows: 16153\n"," })\n"," validation: Dataset({\n"," features: ['patent_number', 'decision', 'title', 'abstract', 'claims', 'background', 'summary', 'description', 'cpc_label', 'ipc_label', 'filing_date', 'patent_issue_date', 'date_published', 'examiner_id'],\n"," num_rows: 9094\n"," })\n","})\n"]}],"source":["print(dataset_dict)"]},{"cell_type":"markdown","metadata":{"id":"nH-s94K4dTy-"},"source":["We separate our data between training and validation"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"y8G0zXJbdTy_"},"outputs":[],"source":["df_train = pd.DataFrame(dataset_dict['train'] )\n","df_val = pd.DataFrame(dataset_dict['validation'] )"]},{"cell_type":"markdown","metadata":{"id":"KZwFSLdydTzB"},"source":["### Pre-Processing the Data\n","\n","We are interested in the following columns:\n","- Patent Number <- purely for documentation purposes\n","- Abstract\n","- Claims\n","- Decision <- our `y`\n","\n","Let's preprocess them both out of our training and validation data\n","\n","Also, consider that the \"Decision\" column has three types of values: \"Accepted\", \"Rejected\", and \"Pending\". To remove unecessary baggage, we will be only looking for \"Accepted\" and \"Rejected\"."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"oEGYVesedTzB"},"outputs":[],"source":["necessary_columns = [\"patent_number\",\"abstract\",\"claims\",\"decision\"]\n","output_values = ['ACCEPTED','REJECTED'] "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"0mMznxq7dTzC"},"outputs":[],"source":["trainFeaturesToDrop = [col for col in list(df_train.columns) if col not in necessary_columns]\n","trainDF = df_train.dropna()\n","trainDF.drop(columns=trainFeaturesToDrop, inplace=True)\n","trainDF = trainDF[trainDF['decision'].isin(output_values)]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":641},"id":"6jS-NnaqdTzC","executionInfo":{"status":"ok","timestamp":1682021420941,"user_tz":240,"elapsed":6,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"5e4ee638-d7bc-4fb6-ab75-cd5ecd3d436d"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" patent_number decision \\\n","0 13261748 ACCEPTED \n","1 13995128 ACCEPTED \n","3 14348792 ACCEPTED \n","4 14360978 REJECTED \n","5 14369795 ACCEPTED \n","... ... ... \n","16144 15002390 ACCEPTED \n","16145 15002391 ACCEPTED \n","16148 15002394 ACCEPTED \n","16149 15002396 REJECTED \n","16150 15330955 REJECTED \n","\n"," abstract \\\n","0 The present invention relates to passive optic... \n","1 Embodiments of the invention provide a method ... \n","3 A crystal growth furnace comprising a crucible... \n","4 A shoe midsole is composed of a base plate (1)... \n","5 A ratchet tool includes a shaft member, a hand... \n","... ... \n","16144 A wavelength tunable laser device, including: ... \n","16145 In one aspect, a method for use in preparing a... \n","16148 A robot hand controlling method executes calcu... \n","16149 A fusion protein is disclosed. The fusion prot... \n","16150 A pipe extraction tool that grips the inside o... \n","\n"," claims \n","0 1. A compact optical network terminal, compris... \n","1 1. A method comprising: using a first reader t... \n","3 1. A crystal growth furnace for growing a crys... \n","4 1. A sole member of footwear comprising a base... \n","5 1. A ratchet tool, comprising a shaft member, ... \n","... ... \n","16144 1. A wavelength tunable laser device, comprisi... \n","16145 1. (canceled) 2. The method of claim 19, where... \n","16148 1. A controlling method of a robot hand, the r... \n","16149 1. A fusion protein comprising an Fc fragment ... \n","16150 1. A pipe extraction tool for extracting a pip... \n","\n","[8719 rows x 4 columns]"],"text/html":["\n"," <div id=\"df-2498cab4-b5f5-4a3f-a55a-91ef75bd67d6\">\n"," <div class=\"colab-df-container\">\n"," <div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>patent_number</th>\n"," <th>decision</th>\n"," <th>abstract</th>\n"," <th>claims</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>13261748</td>\n"," <td>ACCEPTED</td>\n"," <td>The present invention relates to passive optic...</td>\n"," <td>1. A compact optical network terminal, compris...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>13995128</td>\n"," <td>ACCEPTED</td>\n"," <td>Embodiments of the invention provide a method ...</td>\n"," <td>1. A method comprising: using a first reader t...</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>14348792</td>\n"," <td>ACCEPTED</td>\n"," <td>A crystal growth furnace comprising a crucible...</td>\n"," <td>1. A crystal growth furnace for growing a crys...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>14360978</td>\n"," <td>REJECTED</td>\n"," <td>A shoe midsole is composed of a base plate (1)...</td>\n"," <td>1. A sole member of footwear comprising a base...</td>\n"," </tr>\n"," <tr>\n"," <th>5</th>\n"," <td>14369795</td>\n"," <td>ACCEPTED</td>\n"," <td>A ratchet tool includes a shaft member, a hand...</td>\n"," <td>1. A ratchet tool, comprising a shaft member, ...</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>16144</th>\n"," <td>15002390</td>\n"," <td>ACCEPTED</td>\n"," <td>A wavelength tunable laser device, including: ...</td>\n"," <td>1. A wavelength tunable laser device, comprisi...</td>\n"," </tr>\n"," <tr>\n"," <th>16145</th>\n"," <td>15002391</td>\n"," <td>ACCEPTED</td>\n"," <td>In one aspect, a method for use in preparing a...</td>\n"," <td>1. (canceled) 2. The method of claim 19, where...</td>\n"," </tr>\n"," <tr>\n"," <th>16148</th>\n"," <td>15002394</td>\n"," <td>ACCEPTED</td>\n"," <td>A robot hand controlling method executes calcu...</td>\n"," <td>1. A controlling method of a robot hand, the r...</td>\n"," </tr>\n"," <tr>\n"," <th>16149</th>\n"," <td>15002396</td>\n"," <td>REJECTED</td>\n"," <td>A fusion protein is disclosed. The fusion prot...</td>\n"," <td>1. A fusion protein comprising an Fc fragment ...</td>\n"," </tr>\n"," <tr>\n"," <th>16150</th>\n"," <td>15330955</td>\n"," <td>REJECTED</td>\n"," <td>A pipe extraction tool that grips the inside o...</td>\n"," <td>1. A pipe extraction tool for extracting a pip...</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>8719 rows × 4 columns</p>\n","</div>\n"," <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2498cab4-b5f5-4a3f-a55a-91ef75bd67d6')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\">\n"," \n"," <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\">\n"," <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n"," </svg>\n"," </button>\n"," \n"," <style>\n"," .colab-df-container {\n"," display:flex;\n"," flex-wrap:wrap;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .colab-df-convert:hover {\n"," background-color: #E2EBFA;\n"," box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n"," fill: #174EA6;\n"," }\n","\n"," [theme=dark] .colab-df-convert {\n"," background-color: #3B4455;\n"," fill: #D2E3FC;\n"," }\n","\n"," [theme=dark] .colab-df-convert:hover {\n"," background-color: #434B5C;\n"," box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n"," filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n"," fill: #FFFFFF;\n"," }\n"," </style>\n","\n"," <script>\n"," const buttonEl =\n"," document.querySelector('#df-2498cab4-b5f5-4a3f-a55a-91ef75bd67d6 button.colab-df-convert');\n"," buttonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n"," async function convertToInteractive(key) {\n"," const element = document.querySelector('#df-2498cab4-b5f5-4a3f-a55a-91ef75bd67d6');\n"," const dataTable =\n"," await google.colab.kernel.invokeFunction('convertToInteractive',\n"," [key], {});\n"," if (!dataTable) return;\n","\n"," const docLinkHtml = 'Like what you see? Visit the ' +\n"," '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n"," + ' to learn more about interactive tables.';\n"," element.innerHTML = '';\n"," dataTable['output_type'] = 'display_data';\n"," await google.colab.output.renderOutput(dataTable, element);\n"," const docLink = document.createElement('div');\n"," docLink.innerHTML = docLinkHtml;\n"," element.appendChild(docLink);\n"," }\n"," </script>\n"," </div>\n"," </div>\n"," "]},"metadata":{},"execution_count":8}],"source":["trainDF"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"gTW_PbL5dTzD"},"outputs":[],"source":["valFeaturesToDrop = [col for col in list(df_val.columns) if col not in necessary_columns]\n","valDF = df_val.dropna()\n","valDF.drop(columns=valFeaturesToDrop, inplace=True)\n","valDF = valDF[valDF['decision'].isin(output_values)]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":659},"id":"RHVeHC5QdTzD","executionInfo":{"status":"ok","timestamp":1682021425508,"user_tz":240,"elapsed":5,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"f2341ef5-fb24-4f24-e0c7-0e6cd251233e"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" patent_number decision \\\n","0 13144833 REJECTED \n","1 14006524 ACCEPTED \n","2 14365653 REJECTED \n","4 14396367 REJECTED \n","9 14416282 ACCEPTED \n","... ... ... \n","9085 15011551 REJECTED \n","9090 15011556 REJECTED \n","9091 15011557 ACCEPTED \n","9092 15011558 ACCEPTED \n","9093 15011559 ACCEPTED \n","\n"," abstract \\\n","0 Regimen for the treatment of rosacea include t... \n","1 A clamp arrangement includes a pair of bracket... \n","2 A system and method for device action and conf... \n","4 Systems and methods for managing datasets prod... \n","9 A scan driving circuit is provided. The scan d... \n","... ... \n","9085 The non-rigid gate device as described may be ... \n","9090 The present invention provides an improved unc... \n","9091 A method for detecting a software-race conditi... \n","9092 The present application relates to multi-stage... \n","9093 A paper feeder includes a housing, a driving u... \n","\n"," claims \n","0 1. A treatment regimen comprising: cleansing a... \n","1 1. A clamp arrangement for supporting a fractu... \n","2 1-20. (canceled) 21. A mobile device comprisin... \n","4 1. A method, comprising: executing, by one or ... \n","9 1. A scan driving circuit for driving a scan l... \n","... ... \n","9085 1; A non-rigid blocking apparatus referred to ... \n","9090 1. A method for rendering a plastic surface am... \n","9091 1. A method for detecting a software-race cond... \n","9092 1. A multi-stage amplitude modulation-based me... \n","9093 1. A paper feeder, comprising: a housing; a dr... \n","\n","[4888 rows x 4 columns]"],"text/html":["\n"," <div id=\"df-f6f537bb-f0af-45e4-95e3-0c629d839227\">\n"," <div class=\"colab-df-container\">\n"," <div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>patent_number</th>\n"," <th>decision</th>\n"," <th>abstract</th>\n"," <th>claims</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>13144833</td>\n"," <td>REJECTED</td>\n"," <td>Regimen for the treatment of rosacea include t...</td>\n"," <td>1. A treatment regimen comprising: cleansing a...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>14006524</td>\n"," <td>ACCEPTED</td>\n"," <td>A clamp arrangement includes a pair of bracket...</td>\n"," <td>1. A clamp arrangement for supporting a fractu...</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>14365653</td>\n"," <td>REJECTED</td>\n"," <td>A system and method for device action and conf...</td>\n"," <td>1-20. (canceled) 21. A mobile device comprisin...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>14396367</td>\n"," <td>REJECTED</td>\n"," <td>Systems and methods for managing datasets prod...</td>\n"," <td>1. A method, comprising: executing, by one or ...</td>\n"," </tr>\n"," <tr>\n"," <th>9</th>\n"," <td>14416282</td>\n"," <td>ACCEPTED</td>\n"," <td>A scan driving circuit is provided. The scan d...</td>\n"," <td>1. A scan driving circuit for driving a scan l...</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>9085</th>\n"," <td>15011551</td>\n"," <td>REJECTED</td>\n"," <td>The non-rigid gate device as described may be ...</td>\n"," <td>1; A non-rigid blocking apparatus referred to ...</td>\n"," </tr>\n"," <tr>\n"," <th>9090</th>\n"," <td>15011556</td>\n"," <td>REJECTED</td>\n"," <td>The present invention provides an improved unc...</td>\n"," <td>1. A method for rendering a plastic surface am...</td>\n"," </tr>\n"," <tr>\n"," <th>9091</th>\n"," <td>15011557</td>\n"," <td>ACCEPTED</td>\n"," <td>A method for detecting a software-race conditi...</td>\n"," <td>1. A method for detecting a software-race cond...</td>\n"," </tr>\n"," <tr>\n"," <th>9092</th>\n"," <td>15011558</td>\n"," <td>ACCEPTED</td>\n"," <td>The present application relates to multi-stage...</td>\n"," <td>1. A multi-stage amplitude modulation-based me...</td>\n"," </tr>\n"," <tr>\n"," <th>9093</th>\n"," <td>15011559</td>\n"," <td>ACCEPTED</td>\n"," <td>A paper feeder includes a housing, a driving u...</td>\n"," <td>1. A paper feeder, comprising: a housing; a dr...</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>4888 rows × 4 columns</p>\n","</div>\n"," <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f6f537bb-f0af-45e4-95e3-0c629d839227')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\">\n"," \n"," <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\">\n"," <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n"," </svg>\n"," </button>\n"," \n"," <style>\n"," .colab-df-container {\n"," display:flex;\n"," flex-wrap:wrap;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .colab-df-convert:hover {\n"," background-color: #E2EBFA;\n"," box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n"," fill: #174EA6;\n"," }\n","\n"," [theme=dark] .colab-df-convert {\n"," background-color: #3B4455;\n"," fill: #D2E3FC;\n"," }\n","\n"," [theme=dark] .colab-df-convert:hover {\n"," background-color: #434B5C;\n"," box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n"," filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n"," fill: #FFFFFF;\n"," }\n"," </style>\n","\n"," <script>\n"," const buttonEl =\n"," document.querySelector('#df-f6f537bb-f0af-45e4-95e3-0c629d839227 button.colab-df-convert');\n"," buttonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n"," async function convertToInteractive(key) {\n"," const element = document.querySelector('#df-f6f537bb-f0af-45e4-95e3-0c629d839227');\n"," const dataTable =\n"," await google.colab.kernel.invokeFunction('convertToInteractive',\n"," [key], {});\n"," if (!dataTable) return;\n","\n"," const docLinkHtml = 'Like what you see? Visit the ' +\n"," '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n"," + ' to learn more about interactive tables.';\n"," element.innerHTML = '';\n"," dataTable['output_type'] = 'display_data';\n"," await google.colab.output.renderOutput(dataTable, element);\n"," const docLink = document.createElement('div');\n"," docLink.innerHTML = docLinkHtml;\n"," element.appendChild(docLink);\n"," }\n"," </script>\n"," </div>\n"," </div>\n"," "]},"metadata":{},"execution_count":10}],"source":["valDF"]},{"cell_type":"markdown","metadata":{"id":"YFOqWvPUdTzD"},"source":["We need to replace the values in the `decision` column to numerical representations. We will set \"ACCEPTED\" as `1` and \"REJECTED\" as `0`."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"CBxfqBL0dTzD"},"outputs":[],"source":["yKey = {\"ACCEPTED\":1,\"REJECTED\":0}"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"82I6gVrtdTzE"},"outputs":[],"source":["trainDF2 = trainDF.replace({\"decision\": yKey})\n","valDF2 = valDF.replace({\"decision\": yKey})"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":746},"id":"1XVwvlGKdTzE","executionInfo":{"status":"ok","timestamp":1682021428511,"user_tz":240,"elapsed":5,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"bb49c208-ee63-4a2c-86b1-6bea0449b583"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" patent_number decision \\\n","0 13261748 1 \n","1 13995128 1 \n","3 14348792 1 \n","4 14360978 0 \n","5 14369795 1 \n","... ... ... \n","16144 15002390 1 \n","16145 15002391 1 \n","16148 15002394 1 \n","16149 15002396 0 \n","16150 15330955 0 \n","\n"," abstract \\\n","0 The present invention relates to passive optic... \n","1 Embodiments of the invention provide a method ... \n","3 A crystal growth furnace comprising a crucible... \n","4 A shoe midsole is composed of a base plate (1)... \n","5 A ratchet tool includes a shaft member, a hand... \n","... ... \n","16144 A wavelength tunable laser device, including: ... \n","16145 In one aspect, a method for use in preparing a... \n","16148 A robot hand controlling method executes calcu... \n","16149 A fusion protein is disclosed. The fusion prot... \n","16150 A pipe extraction tool that grips the inside o... \n","\n"," claims \n","0 1. A compact optical network terminal, compris... \n","1 1. A method comprising: using a first reader t... \n","3 1. A crystal growth furnace for growing a crys... \n","4 1. A sole member of footwear comprising a base... \n","5 1. A ratchet tool, comprising a shaft member, ... \n","... ... \n","16144 1. A wavelength tunable laser device, comprisi... \n","16145 1. (canceled) 2. The method of claim 19, where... \n","16148 1. A controlling method of a robot hand, the r... \n","16149 1. A fusion protein comprising an Fc fragment ... \n","16150 1. A pipe extraction tool for extracting a pip... \n","\n","[8719 rows x 4 columns]"],"text/html":["\n"," <div id=\"df-fcb55bbd-c720-4b17-82e1-4059c671fb2f\">\n"," <div class=\"colab-df-container\">\n"," <div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>patent_number</th>\n"," <th>decision</th>\n"," <th>abstract</th>\n"," <th>claims</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>13261748</td>\n"," <td>1</td>\n"," <td>The present invention relates to passive optic...</td>\n"," <td>1. A compact optical network terminal, compris...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>13995128</td>\n"," <td>1</td>\n"," <td>Embodiments of the invention provide a method ...</td>\n"," <td>1. A method comprising: using a first reader t...</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>14348792</td>\n"," <td>1</td>\n"," <td>A crystal growth furnace comprising a crucible...</td>\n"," <td>1. A crystal growth furnace for growing a crys...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>14360978</td>\n"," <td>0</td>\n"," <td>A shoe midsole is composed of a base plate (1)...</td>\n"," <td>1. A sole member of footwear comprising a base...</td>\n"," </tr>\n"," <tr>\n"," <th>5</th>\n"," <td>14369795</td>\n"," <td>1</td>\n"," <td>A ratchet tool includes a shaft member, a hand...</td>\n"," <td>1. A ratchet tool, comprising a shaft member, ...</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>16144</th>\n"," <td>15002390</td>\n"," <td>1</td>\n"," <td>A wavelength tunable laser device, including: ...</td>\n"," <td>1. A wavelength tunable laser device, comprisi...</td>\n"," </tr>\n"," <tr>\n"," <th>16145</th>\n"," <td>15002391</td>\n"," <td>1</td>\n"," <td>In one aspect, a method for use in preparing a...</td>\n"," <td>1. (canceled) 2. The method of claim 19, where...</td>\n"," </tr>\n"," <tr>\n"," <th>16148</th>\n"," <td>15002394</td>\n"," <td>1</td>\n"," <td>A robot hand controlling method executes calcu...</td>\n"," <td>1. A controlling method of a robot hand, the r...</td>\n"," </tr>\n"," <tr>\n"," <th>16149</th>\n"," <td>15002396</td>\n"," <td>0</td>\n"," <td>A fusion protein is disclosed. The fusion prot...</td>\n"," <td>1. A fusion protein comprising an Fc fragment ...</td>\n"," </tr>\n"," <tr>\n"," <th>16150</th>\n"," <td>15330955</td>\n"," <td>0</td>\n"," <td>A pipe extraction tool that grips the inside o...</td>\n"," <td>1. A pipe extraction tool for extracting a pip...</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>8719 rows × 4 columns</p>\n","</div>\n"," <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fcb55bbd-c720-4b17-82e1-4059c671fb2f')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\">\n"," \n"," <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\">\n"," <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n"," </svg>\n"," </button>\n"," \n"," <style>\n"," .colab-df-container {\n"," display:flex;\n"," flex-wrap:wrap;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .colab-df-convert:hover {\n"," background-color: #E2EBFA;\n"," box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n"," fill: #174EA6;\n"," }\n","\n"," [theme=dark] .colab-df-convert {\n"," background-color: #3B4455;\n"," fill: #D2E3FC;\n"," }\n","\n"," [theme=dark] .colab-df-convert:hover {\n"," background-color: #434B5C;\n"," box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n"," filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n"," fill: #FFFFFF;\n"," }\n"," </style>\n","\n"," <script>\n"," const buttonEl =\n"," document.querySelector('#df-fcb55bbd-c720-4b17-82e1-4059c671fb2f button.colab-df-convert');\n"," buttonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n"," async function convertToInteractive(key) {\n"," const element = document.querySelector('#df-fcb55bbd-c720-4b17-82e1-4059c671fb2f');\n"," const dataTable =\n"," await google.colab.kernel.invokeFunction('convertToInteractive',\n"," [key], {});\n"," if (!dataTable) return;\n","\n"," const docLinkHtml = 'Like what you see? Visit the ' +\n"," '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n"," + ' to learn more about interactive tables.';\n"," element.innerHTML = '';\n"," dataTable['output_type'] = 'display_data';\n"," await google.colab.output.renderOutput(dataTable, element);\n"," const docLink = document.createElement('div');\n"," docLink.innerHTML = docLinkHtml;\n"," element.appendChild(docLink);\n"," }\n"," </script>\n"," </div>\n"," </div>\n"," "]},"metadata":{},"execution_count":13}],"source":["trainDF2"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":659},"id":"D0eRJb_2dTzE","executionInfo":{"status":"ok","timestamp":1682021428713,"user_tz":240,"elapsed":4,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"74150843-f3b4-459c-ef34-d9cf08f0c0d6"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" patent_number decision \\\n","0 13144833 0 \n","1 14006524 1 \n","2 14365653 0 \n","4 14396367 0 \n","9 14416282 1 \n","... ... ... \n","9085 15011551 0 \n","9090 15011556 0 \n","9091 15011557 1 \n","9092 15011558 1 \n","9093 15011559 1 \n","\n"," abstract \\\n","0 Regimen for the treatment of rosacea include t... \n","1 A clamp arrangement includes a pair of bracket... \n","2 A system and method for device action and conf... \n","4 Systems and methods for managing datasets prod... \n","9 A scan driving circuit is provided. The scan d... \n","... ... \n","9085 The non-rigid gate device as described may be ... \n","9090 The present invention provides an improved unc... \n","9091 A method for detecting a software-race conditi... \n","9092 The present application relates to multi-stage... \n","9093 A paper feeder includes a housing, a driving u... \n","\n"," claims \n","0 1. A treatment regimen comprising: cleansing a... \n","1 1. A clamp arrangement for supporting a fractu... \n","2 1-20. (canceled) 21. A mobile device comprisin... \n","4 1. A method, comprising: executing, by one or ... \n","9 1. A scan driving circuit for driving a scan l... \n","... ... \n","9085 1; A non-rigid blocking apparatus referred to ... \n","9090 1. A method for rendering a plastic surface am... \n","9091 1. A method for detecting a software-race cond... \n","9092 1. A multi-stage amplitude modulation-based me... \n","9093 1. A paper feeder, comprising: a housing; a dr... \n","\n","[4888 rows x 4 columns]"],"text/html":["\n"," <div id=\"df-a77e1a79-09be-4e22-9b3c-8b1dbcc0b92d\">\n"," <div class=\"colab-df-container\">\n"," <div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>patent_number</th>\n"," <th>decision</th>\n"," <th>abstract</th>\n"," <th>claims</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>13144833</td>\n"," <td>0</td>\n"," <td>Regimen for the treatment of rosacea include t...</td>\n"," <td>1. 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A multi-stage amplitude modulation-based me...</td>\n"," </tr>\n"," <tr>\n"," <th>9093</th>\n"," <td>15011559</td>\n"," <td>1</td>\n"," <td>A paper feeder includes a housing, a driving u...</td>\n"," <td>1. A paper feeder, comprising: a housing; a dr...</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>4888 rows × 4 columns</p>\n","</div>\n"," <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a77e1a79-09be-4e22-9b3c-8b1dbcc0b92d')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\">\n"," \n"," <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\">\n"," <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n"," </svg>\n"," </button>\n"," \n"," <style>\n"," .colab-df-container {\n"," display:flex;\n"," flex-wrap:wrap;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .colab-df-convert:hover {\n"," background-color: #E2EBFA;\n"," box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n"," fill: #174EA6;\n"," }\n","\n"," [theme=dark] .colab-df-convert {\n"," background-color: #3B4455;\n"," fill: #D2E3FC;\n"," }\n","\n"," [theme=dark] .colab-df-convert:hover {\n"," background-color: #434B5C;\n"," box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n"," filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n"," fill: #FFFFFF;\n"," }\n"," </style>\n","\n"," <script>\n"," const buttonEl =\n"," document.querySelector('#df-a77e1a79-09be-4e22-9b3c-8b1dbcc0b92d button.colab-df-convert');\n"," buttonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n"," async function convertToInteractive(key) {\n"," const element = document.querySelector('#df-a77e1a79-09be-4e22-9b3c-8b1dbcc0b92d');\n"," const dataTable =\n"," await google.colab.kernel.invokeFunction('convertToInteractive',\n"," [key], {});\n"," if (!dataTable) return;\n","\n"," const docLinkHtml = 'Like what you see? Visit the ' +\n"," '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n"," + ' to learn more about interactive tables.';\n"," element.innerHTML = '';\n"," dataTable['output_type'] = 'display_data';\n"," await google.colab.output.renderOutput(dataTable, element);\n"," const docLink = document.createElement('div');\n"," docLink.innerHTML = docLinkHtml;\n"," element.appendChild(docLink);\n"," }\n"," </script>\n"," </div>\n"," </div>\n"," "]},"metadata":{},"execution_count":14}],"source":["valDF2"]},{"cell_type":"markdown","metadata":{"id":"gRb0ApxTdTzF"},"source":["We re-label the `decision` column to `label`."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":676},"id":"vRFoJ8hidTzF","executionInfo":{"status":"ok","timestamp":1682021435301,"user_tz":240,"elapsed":500,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"9444d1d4-5450-4767-aeb0-c1709889b7ac"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" patent_number label abstract \\\n","0 13261748 1 The present invention relates to passive optic... \n","1 13995128 1 Embodiments of the invention provide a method ... \n","3 14348792 1 A crystal growth furnace comprising a crucible... \n","4 14360978 0 A shoe midsole is composed of a base plate (1)... \n","5 14369795 1 A ratchet tool includes a shaft member, a hand... \n","... ... ... ... \n","16144 15002390 1 A wavelength tunable laser device, including: ... \n","16145 15002391 1 In one aspect, a method for use in preparing a... \n","16148 15002394 1 A robot hand controlling method executes calcu... \n","16149 15002396 0 A fusion protein is disclosed. The fusion prot... \n","16150 15330955 0 A pipe extraction tool that grips the inside o... \n","\n"," claims \n","0 1. A compact optical network terminal, compris... \n","1 1. A method comprising: using a first reader t... \n","3 1. A crystal growth furnace for growing a crys... \n","4 1. A sole member of footwear comprising a base... \n","5 1. A ratchet tool, comprising a shaft member, ... \n","... ... \n","16144 1. A wavelength tunable laser device, comprisi... \n","16145 1. (canceled) 2. The method of claim 19, where... \n","16148 1. A controlling method of a robot hand, the r... \n","16149 1. A fusion protein comprising an Fc fragment ... \n","16150 1. A pipe extraction tool for extracting a pip... \n","\n","[8719 rows x 4 columns]"],"text/html":["\n"," <div id=\"df-98f84a20-c0eb-4438-9beb-b98a63c9968e\">\n"," <div class=\"colab-df-container\">\n"," <div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>patent_number</th>\n"," <th>label</th>\n"," <th>abstract</th>\n"," <th>claims</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>13261748</td>\n"," <td>1</td>\n"," <td>The present invention relates to passive optic...</td>\n"," <td>1. A compact optical network terminal, compris...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>13995128</td>\n"," <td>1</td>\n"," <td>Embodiments of the invention provide a method ...</td>\n"," <td>1. A method comprising: using a first reader t...</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>14348792</td>\n"," <td>1</td>\n"," <td>A crystal growth furnace comprising a crucible...</td>\n"," <td>1. A crystal growth furnace for growing a crys...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>14360978</td>\n"," <td>0</td>\n"," <td>A shoe midsole is composed of a base plate (1)...</td>\n"," <td>1. A sole member of footwear comprising a base...</td>\n"," </tr>\n"," <tr>\n"," <th>5</th>\n"," <td>14369795</td>\n"," <td>1</td>\n"," <td>A ratchet tool includes a shaft member, a hand...</td>\n"," <td>1. A ratchet tool, comprising a shaft member, ...</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>16144</th>\n"," <td>15002390</td>\n"," <td>1</td>\n"," <td>A wavelength tunable laser device, including: ...</td>\n"," <td>1. A wavelength tunable laser device, comprisi...</td>\n"," </tr>\n"," <tr>\n"," <th>16145</th>\n"," <td>15002391</td>\n"," <td>1</td>\n"," <td>In one aspect, a method for use in preparing a...</td>\n"," <td>1. (canceled) 2. The method of claim 19, where...</td>\n"," </tr>\n"," <tr>\n"," <th>16148</th>\n"," <td>15002394</td>\n"," <td>1</td>\n"," <td>A robot hand controlling method executes calcu...</td>\n"," <td>1. A controlling method of a robot hand, the r...</td>\n"," </tr>\n"," <tr>\n"," <th>16149</th>\n"," <td>15002396</td>\n"," <td>0</td>\n"," <td>A fusion protein is disclosed. The fusion prot...</td>\n"," <td>1. 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A pipe extraction tool for extracting a pip...</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>8719 rows × 4 columns</p>\n","</div>\n"," <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-98f84a20-c0eb-4438-9beb-b98a63c9968e')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\">\n"," \n"," <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\">\n"," <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n"," </svg>\n"," </button>\n"," \n"," <style>\n"," .colab-df-container {\n"," display:flex;\n"," flex-wrap:wrap;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .colab-df-convert:hover {\n"," background-color: #E2EBFA;\n"," box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n"," fill: #174EA6;\n"," }\n","\n"," [theme=dark] .colab-df-convert {\n"," background-color: #3B4455;\n"," fill: #D2E3FC;\n"," }\n","\n"," [theme=dark] .colab-df-convert:hover {\n"," background-color: #434B5C;\n"," box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n"," filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n"," fill: #FFFFFF;\n"," }\n"," </style>\n","\n"," <script>\n"," const buttonEl =\n"," document.querySelector('#df-98f84a20-c0eb-4438-9beb-b98a63c9968e button.colab-df-convert');\n"," buttonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n"," async function convertToInteractive(key) {\n"," const element = document.querySelector('#df-98f84a20-c0eb-4438-9beb-b98a63c9968e');\n"," const dataTable =\n"," await google.colab.kernel.invokeFunction('convertToInteractive',\n"," [key], {});\n"," if (!dataTable) return;\n","\n"," const docLinkHtml = 'Like what you see? Visit the ' +\n"," '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n"," + ' to learn more about interactive tables.';\n"," element.innerHTML = '';\n"," dataTable['output_type'] = 'display_data';\n"," await google.colab.output.renderOutput(dataTable, element);\n"," const docLink = document.createElement('div');\n"," docLink.innerHTML = docLinkHtml;\n"," element.appendChild(docLink);\n"," }\n"," </script>\n"," </div>\n"," </div>\n"," "]},"metadata":{},"execution_count":15}],"source":["trainDF3 = trainDF2.rename(columns={'decision': 'label'})\n","trainDF3"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":641},"id":"v3Qvaex7dTzG","executionInfo":{"status":"ok","timestamp":1682021437285,"user_tz":240,"elapsed":6,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"3c644844-db7e-4c3d-da66-afba74a1ca9a"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" patent_number label abstract \\\n","0 13144833 0 Regimen for the treatment of rosacea include t... \n","1 14006524 1 A clamp arrangement includes a pair of bracket... \n","2 14365653 0 A system and method for device action and conf... \n","4 14396367 0 Systems and methods for managing datasets prod... \n","9 14416282 1 A scan driving circuit is provided. The scan d... \n","... ... ... ... \n","9085 15011551 0 The non-rigid gate device as described may be ... \n","9090 15011556 0 The present invention provides an improved unc... \n","9091 15011557 1 A method for detecting a software-race conditi... \n","9092 15011558 1 The present application relates to multi-stage... \n","9093 15011559 1 A paper feeder includes a housing, a driving u... \n","\n"," claims \n","0 1. A treatment regimen comprising: cleansing a... \n","1 1. A clamp arrangement for supporting a fractu... \n","2 1-20. (canceled) 21. A mobile device comprisin... \n","4 1. A method, comprising: executing, by one or ... \n","9 1. A scan driving circuit for driving a scan l... \n","... ... \n","9085 1; A non-rigid blocking apparatus referred to ... \n","9090 1. A method for rendering a plastic surface am... \n","9091 1. A method for detecting a software-race cond... \n","9092 1. A multi-stage amplitude modulation-based me... \n","9093 1. A paper feeder, comprising: a housing; a dr... \n","\n","[4888 rows x 4 columns]"],"text/html":["\n"," <div id=\"df-6782f4a5-49e1-44f0-8e06-bc644aaaed35\">\n"," <div class=\"colab-df-container\">\n"," <div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>patent_number</th>\n"," <th>label</th>\n"," <th>abstract</th>\n"," <th>claims</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>13144833</td>\n"," <td>0</td>\n"," <td>Regimen for the treatment of rosacea include t...</td>\n"," <td>1. A treatment regimen comprising: cleansing a...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>14006524</td>\n"," <td>1</td>\n"," <td>A clamp arrangement includes a pair of bracket...</td>\n"," <td>1. A clamp arrangement for supporting a fractu...</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>14365653</td>\n"," <td>0</td>\n"," <td>A system and method for device action and conf...</td>\n"," <td>1-20. (canceled) 21. A mobile device comprisin...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>14396367</td>\n"," <td>0</td>\n"," <td>Systems and methods for managing datasets prod...</td>\n"," <td>1. A method, comprising: executing, by one or ...</td>\n"," </tr>\n"," <tr>\n"," <th>9</th>\n"," <td>14416282</td>\n"," <td>1</td>\n"," <td>A scan driving circuit is provided. The scan d...</td>\n"," <td>1. A scan driving circuit for driving a scan l...</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>9085</th>\n"," <td>15011551</td>\n"," <td>0</td>\n"," <td>The non-rigid gate device as described may be ...</td>\n"," <td>1; A non-rigid blocking apparatus referred to ...</td>\n"," </tr>\n"," <tr>\n"," <th>9090</th>\n"," <td>15011556</td>\n"," <td>0</td>\n"," <td>The present invention provides an improved unc...</td>\n"," <td>1. A method for rendering a plastic surface am...</td>\n"," </tr>\n"," <tr>\n"," <th>9091</th>\n"," <td>15011557</td>\n"," <td>1</td>\n"," <td>A method for detecting a software-race conditi...</td>\n"," <td>1. A method for detecting a software-race cond...</td>\n"," </tr>\n"," <tr>\n"," <th>9092</th>\n"," <td>15011558</td>\n"," <td>1</td>\n"," <td>The present application relates to multi-stage...</td>\n"," <td>1. A multi-stage amplitude modulation-based me...</td>\n"," </tr>\n"," <tr>\n"," <th>9093</th>\n"," <td>15011559</td>\n"," <td>1</td>\n"," <td>A paper feeder includes a housing, a driving u...</td>\n"," <td>1. A paper feeder, comprising: a housing; a dr...</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>4888 rows × 4 columns</p>\n","</div>\n"," <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6782f4a5-49e1-44f0-8e06-bc644aaaed35')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\">\n"," \n"," <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\">\n"," <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n"," </svg>\n"," </button>\n"," \n"," <style>\n"," .colab-df-container {\n"," display:flex;\n"," flex-wrap:wrap;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .colab-df-convert:hover {\n"," background-color: #E2EBFA;\n"," box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n"," fill: #174EA6;\n"," }\n","\n"," [theme=dark] .colab-df-convert {\n"," background-color: #3B4455;\n"," fill: #D2E3FC;\n"," }\n","\n"," [theme=dark] .colab-df-convert:hover {\n"," background-color: #434B5C;\n"," box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n"," filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n"," fill: #FFFFFF;\n"," }\n"," </style>\n","\n"," <script>\n"," const buttonEl =\n"," document.querySelector('#df-6782f4a5-49e1-44f0-8e06-bc644aaaed35 button.colab-df-convert');\n"," buttonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n"," async function convertToInteractive(key) {\n"," const element = document.querySelector('#df-6782f4a5-49e1-44f0-8e06-bc644aaaed35');\n"," const dataTable =\n"," await google.colab.kernel.invokeFunction('convertToInteractive',\n"," [key], {});\n"," if (!dataTable) return;\n","\n"," const docLinkHtml = 'Like what you see? Visit the ' +\n"," '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n"," + ' to learn more about interactive tables.';\n"," element.innerHTML = '';\n"," dataTable['output_type'] = 'display_data';\n"," await google.colab.output.renderOutput(dataTable, element);\n"," const docLink = document.createElement('div');\n"," docLink.innerHTML = docLinkHtml;\n"," element.appendChild(docLink);\n"," }\n"," </script>\n"," </div>\n"," </div>\n"," "]},"metadata":{},"execution_count":16}],"source":["valDF3 = valDF2.rename(columns={'decision': 'label'})\n","valDF3"]},{"cell_type":"markdown","metadata":{"id":"hJ8DMaCXdTzG"},"source":["We can grab the data for each column so that we have a list of values for training labels, training texts, validation labels, and validation texts.\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"z9omfOd0dTzG"},"outputs":[],"source":["trainData = {\n"," \"patent_numbers\":trainDF3[\"patent_number\"].tolist(),\n"," \"labels\":trainDF3[\"label\"].tolist(),\n"," \"abstracts\":trainDF3[\"abstract\"].tolist(),\n"," \"claims\":trainDF3[\"claims\"].tolist(),\n","}\n","valData = {\n"," \"patent_numbers\":valDF3[\"patent_number\"].tolist(),\n"," \"labels\":valDF3[\"label\"].tolist(),\n"," \"abstracts\":valDF3[\"abstract\"].tolist(),\n"," \"claims\":valDF3[\"claims\"].tolist(),\n","}"]},{"cell_type":"markdown","source":["We will save these dictionaries as data for later."],"metadata":{"id":"CLeEbFI_NBuK"}},{"cell_type":"code","source":["if not os.path.exists(\"./data\"):\n"," os.makedirs('./data')\n","\n","with open(\"./data/train.json\", \"w\") as outfile:\n"," json.dump(trainData, outfile, indent=2)\n","with open(\"./data/val.json\", \"w\") as outfile:\n"," json.dump(valData, outfile, indent=2)"],"metadata":{"id":"NBPNxz7qNHRq"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"pE3HG8bUdTzG"},"source":["## Loading the Trainer\n","\n","Now we can start training! This time, we will just go with `distilbert-base-uncased` for simplicity."]},{"cell_type":"markdown","source":["### Initializing Classes and Trainers"],"metadata":{"id":"YklaXlgDO6Jw"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hxE_CIT_dTzH","executionInfo":{"status":"ok","timestamp":1682021471720,"user_tz":240,"elapsed":16542,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"758b0092-d56e-47b6-852a-4a19915bfe0c"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: torch in /usr/local/lib/python3.9/dist-packages (2.0.0+cu118)\n","Requirement already satisfied: jinja2 in /usr/local/lib/python3.9/dist-packages (from torch) (3.1.2)\n","Requirement already satisfied: typing-extensions in /usr/local/lib/python3.9/dist-packages (from torch) (4.5.0)\n","Requirement already satisfied: sympy in /usr/local/lib/python3.9/dist-packages (from torch) (1.11.1)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.9/dist-packages (from torch) (3.11.0)\n","Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.9/dist-packages (from torch) (2.0.0)\n","Requirement already satisfied: networkx in /usr/local/lib/python3.9/dist-packages (from torch) (3.1)\n","Requirement already satisfied: lit in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->torch) (16.0.1)\n","Requirement already satisfied: cmake in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->torch) (3.25.2)\n","Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.9/dist-packages (from jinja2->torch) (2.1.2)\n","Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.9/dist-packages (from sympy->torch) (1.3.0)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting transformers\n"," Downloading transformers-4.28.1-py3-none-any.whl (7.0 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.0/7.0 MB\u001b[0m \u001b[31m81.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.9/dist-packages (from transformers) (3.11.0)\n","Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\n"," Downloading tokenizers-0.13.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m100.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.9/dist-packages (from transformers) (4.65.0)\n","Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.9/dist-packages (from transformers) (1.22.4)\n","Requirement already satisfied: requests in /usr/local/lib/python3.9/dist-packages (from transformers) (2.27.1)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.9/dist-packages (from transformers) (6.0)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from transformers) (23.1)\n","Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.9/dist-packages (from transformers) (2022.10.31)\n","Requirement already satisfied: huggingface-hub<1.0,>=0.11.0 in /usr/local/lib/python3.9/dist-packages (from transformers) (0.13.4)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.9/dist-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (4.5.0)\n","Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests->transformers) (2.0.12)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests->transformers) (3.4)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests->transformers) (2022.12.7)\n","Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests->transformers) (1.26.15)\n","Installing collected packages: tokenizers, transformers\n","Successfully installed tokenizers-0.13.3 transformers-4.28.1\n"]}],"source":["!pip install torch\n","!pip install transformers"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"i8_0Ih_WdTzH"},"outputs":[],"source":["from torch.utils.data import Dataset, DataLoader\n","from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification\n","from transformers import Trainer, TrainingArguments, AdamW"]},{"cell_type":"code","source":["torch.backends.cuda.matmul.allow_tf32 = True\n","model_name = \"distilbert-base-uncased\"\n","upsto_abstracts_model_path = './models/uspto_abstracts'\n","upsto_claims_model_path = './models/uspto_claims'"],"metadata":{"id":"wXkvS5h2NrzW","executionInfo":{"status":"ok","timestamp":1682032710087,"user_tz":240,"elapsed":217,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}}},"execution_count":39,"outputs":[]},{"cell_type":"markdown","source":["We will create a Dataset class for the training"],"metadata":{"id":"awXD1_ltNxPC"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"yVi-Vhb-dTzH"},"outputs":[],"source":["class USPTODataset(Dataset):\n"," def __init__(self, encodings, labels):\n"," self.encodings = encodings\n"," self.labels = labels\n"," def __getitem__(self, idx):\n"," item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}\n"," item['labels'] = torch.tensor(self.labels[idx])\n"," return item\n"," def __len__(self):\n"," return len(self.labels)\n"]},{"cell_type":"markdown","source":["### Double-Checking the Data\n","\n","We will do a basic check: Do we have `trainData` and `valData` cached? If not, we need to load it in!"],"metadata":{"id":"ZXqCGaTxN7qy"}},{"cell_type":"code","source":["trainDataPath = \"./data/train.json\"\n","valDataPath = \"./data/val.json\"\n","\n","if trainData is None and os.path.exists(trainDataPath):\n"," f = open(trainDataPath)\n"," trainData = json.load(f)\n"," f.close()\n","if valData is None and os.path.exists(valDataPath):\n"," f = open(valDataPath)\n"," valData = json.load(f)\n"," f.close()"],"metadata":{"id":"8Szn0TJ-N7CI"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Encoding the Data"],"metadata":{"id":"V3oKe81RPIgq"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"4Cxzzr6KdTzI","executionInfo":{"status":"ok","timestamp":1682021490811,"user_tz":240,"elapsed":1763,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"colab":{"base_uri":"https://localhost:8080/","height":257,"referenced_widgets":["37e352aeab994637887c9fce16a4fdda","7ce12e08913445429c0f44752b5f821c","6999d35a0c09459b9d0c9d47dba70320","5dc74e126ba4481e8e15ffa59b1eaf8e","3d9ca529621f46da9ed93641ae56b4ea","d9e649a7a52641b28b77037fc4713d77","3d83814aa933459dac4d493ab6c2ecf7","a08f7de9b7284616a3a6f2176804a714","2f624544ba68401491be11bb78cc8086","e7d6e1e3fb9a49e0b58281aca52517b5","51b1280a3a5e4facbeafb28923d77133","0da194d892754092ad01803ff69c9a7c","1e085de4a50e4c2685b9d24e0f289679","373fdb0d94684d44aa5e0e6293319bc6","c31e597bc5c14d14b287206ea8be2522","acf120e8d7f14a23a7a8a8f6d2c72d54","8bbb84dc028a4b62b1ea4dcd98131706","72125209dca54decaae05e5678a9eb60","659e0520847d4db5a5cf717a7be903b1","7077cb21a4b9491ab20b2af5dd7d30e5","517fdc4c1e61453f9e167dd8cc33f021","055f263ecfab430da77808fdc07699a1","cb4f082d2c384b74a54bac7e92b19772","12f8fa71da0d434a88c43ab13159fbc6","cb2d86cc73fd4a529d75aeb8e9c354ae","28bff5766c51461e8b9456c07aac9c57","8f3f4ca0a7114fb3929b2b80402c19ad","097daf3ff77f4d39809fe3a9d5bbd3c3","e53f41626ff34cbca574ef5be6b910e9","e7a1f0216c184d5e8abee0f4998f7cb7","ec7f6f10a68f4aa3b1696e4e1d59c231","041087211da7424e86b03574c00bcc7e","44c305d3e3ec44a1ac31a9e82ee00fd5","6cce9c60a7074c40ad9992597eb1f50a","87cad6102054466d8e1243da205cf506","5d1ae7f7479e485a97e80db391b6e694","789cf158a3154bba8b1091b2ec443843","f4d8392b478149949a77bf606fea3090","d457e5284b6e4ecf8efddff65b613315","abff237c84fe446f857de2c7c6fc466c","e34a8a0a27614aab95e63b221861965f","bf607dd1b0ba47c2a4b42cd934786356","f66a864297f1446d92968786100fa6ef","035fd49261424e179b16f2ae4688944e"]},"outputId":"d1afd722-6591-4860-db86-5bb9ffd58e7d"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)okenizer_config.json: 0%| | 0.00/28.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"37e352aeab994637887c9fce16a4fdda"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)solve/main/vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0da194d892754092ad01803ff69c9a7c"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)/main/tokenizer.json: 0%| | 0.00/466k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cb4f082d2c384b74a54bac7e92b19772"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json: 0%| | 0.00/483 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6cce9c60a7074c40ad9992597eb1f50a"}},"metadata":{}}],"source":["# Initializing the Tokenizer\n","tokenizer = DistilBertTokenizerFast.from_pretrained(model_name)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"suHHAY90dTzI"},"outputs":[],"source":["# Encoding the Data\n","train_abstracts_encodings = tokenizer(trainData[\"abstracts\"], truncation=True, padding=True)\n","train_claims_encodings = tokenizer(trainData[\"claims\"], truncation=True, padding=True)"]},{"cell_type":"code","source":["# Creating the Datasets from the data\n","train_abstracts_dataset = USPTODataset(train_abstracts_encodings, trainData[\"labels\"])\n","train_claims_dataset = USPTODataset(train_claims_encodings, trainData[\"labels\"])"],"metadata":{"id":"hptmNAJ1PcZN"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Model Preparation\n","\n","We need to initialize the model that we will use as a base now."],"metadata":{"id":"22RFJcEXPnZB"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":830,"referenced_widgets":["a7752b9c0c89474ab6662cbc5a19c513","2f392aea78f945d2ac8198a9be17288b","25c8b6c20fd84746a0b3b20a99d1b5bf","f0b3815c4e314899aba7256040f4cbbb","75d63216400645deab0d6e56cea0a67c","a03b5a76f061429aba6fc0935fbb46c8","8aaea1deb9ea452798858d0209668bda","a1c2445dd87f4426ba565b7483edca24","47943fe3054f42e3856dfd9d2d7b362a","e6531320c3fa445baa68aad6c20f6388","da050369b5e8464089e69a326f34fa43"]},"id":"_TuzDNWsdTzI","executionInfo":{"status":"ok","timestamp":1682021554233,"user_tz":240,"elapsed":15686,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"862da1d9-10c5-4aa8-d241-8edcb6d27b21"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading pytorch_model.bin: 0%| | 0.00/268M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"a7752b9c0c89474ab6662cbc5a19c513"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.weight', 'vocab_layer_norm.weight', 'vocab_projector.bias', 'vocab_transform.weight', 'vocab_layer_norm.bias', 'vocab_transform.bias']\n","- This IS expected if you are initializing DistilBertForSequenceClassification 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 DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n","Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.bias', 'classifier.weight', 'pre_classifier.weight']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"]},{"output_type":"execute_result","data":{"text/plain":["DistilBertForSequenceClassification(\n"," (distilbert): DistilBertModel(\n"," (embeddings): Embeddings(\n"," (word_embeddings): Embedding(30522, 768, padding_idx=0)\n"," (position_embeddings): Embedding(512, 768)\n"," (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n"," (dropout): Dropout(p=0.1, inplace=False)\n"," )\n"," (transformer): Transformer(\n"," (layer): ModuleList(\n"," (0-5): 6 x TransformerBlock(\n"," (attention): MultiHeadSelfAttention(\n"," (dropout): Dropout(p=0.1, inplace=False)\n"," (q_lin): Linear(in_features=768, out_features=768, bias=True)\n"," (k_lin): Linear(in_features=768, out_features=768, bias=True)\n"," (v_lin): Linear(in_features=768, out_features=768, bias=True)\n"," (out_lin): Linear(in_features=768, out_features=768, bias=True)\n"," )\n"," (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n"," (ffn): FFN(\n"," (dropout): Dropout(p=0.1, inplace=False)\n"," (lin1): Linear(in_features=768, out_features=3072, bias=True)\n"," (lin2): Linear(in_features=3072, out_features=768, bias=True)\n"," (activation): GELUActivation()\n"," )\n"," (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)\n"," )\n"," )\n"," )\n"," )\n"," (pre_classifier): Linear(in_features=768, out_features=768, bias=True)\n"," (classifier): Linear(in_features=768, out_features=2, bias=True)\n"," (dropout): Dropout(p=0.2, inplace=False)\n",")"]},"metadata":{},"execution_count":27}],"source":["device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n","model = DistilBertForSequenceClassification.from_pretrained(model_name)\n","model.to(device)\n","model.train()"]},{"cell_type":"markdown","source":["### Training Preparation"],"metadata":{"id":"ff23ZnIMQOPj"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"nQJhJGNmdTzI"},"outputs":[],"source":["train_abstracts_loader = DataLoader(train_abstracts_dataset, batch_size=32, shuffle=True)\n","train_claims_loader = DataLoader(train_claims_dataset, batch_size=32, shuffle=True)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jgFY2KNSdTzJ"},"outputs":[],"source":["optim = AdamW(model.parameters(), lr=5e-5)"]},{"cell_type":"markdown","source":["### Training!\n","\n","We will be training for 10 epochs"],"metadata":{"id":"jSfVwiFZQfyF"}},{"cell_type":"code","source":["def Train(loader, save_path, num_train_epochs=2):\n"," batch_num = len(loader)\n"," for epoch in range(num_train_epochs):\n"," print(f'\\t- Training epoch {epoch+1}/{num_train_epochs}')\n"," batch_count = 0\n"," for batch in loader:\n"," print(f'{batch_count}|{batch_num} - {round((batch_count/batch_num)*100)}%', end=\"\")\n"," #print('\\t\\t- optim zero grad')\n"," optim.zero_grad()\n"," #print('\\t\\t- input_ids')\n"," input_ids = batch['input_ids'].to(device)\n"," #print('\\t\\t- attention_mask')\n"," attention_mask = batch['attention_mask'].to(device)\n"," #print('\\t\\t- labels0')\n"," labels = batch['labels'].to(device)\n"," #print('\\t\\t- outputs')\n"," outputs = model(input_ids, attention_mask=attention_mask, labels=labels)\n"," \n"," #print('\\t\\t- loss')\n"," loss = outputs[0]\n"," #print('\\t\\t- backwards')\n"," loss.backward()\n"," #print('\\t\\t- step')\n"," optim.step()\n","\n"," batch_count += 1\n"," print(\"\\r\", end=\"\")\n"," \n"," model.save_pretrained(save_path, from_pt=True) \n"," print(f'Saved model in {save_path}!\\n')"],"metadata":{"id":"vrCBIFTOQoqH"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6o-434bzdTzJ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1682030797217,"user_tz":240,"elapsed":9174487,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"b02fca82-05a2-48d7-9a85-5f4521cfb1b4"},"outputs":[{"output_type":"stream","name":"stdout","text":["=== TRAINING ABSTRACTS ===\n","\t- Training epoch 1/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 2/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 3/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 4/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 5/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 6/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 7/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 8/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 9/10\n","Saved model in ./models/upsto_abstracts!\n","\n","\t- Training epoch 10/10\n","Saved model in ./models/upsto_abstracts!\n","\n","----\n","=== TRAINING CLAIMS ===\n","\t- Training epoch 1/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 2/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 3/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 4/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 5/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 6/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 7/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 8/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 9/10\n","Saved model in ./models/upsto_claims!\n","\n","\t- Training epoch 10/10\n","Saved model in ./models/upsto_claims!\n","\n"]}],"source":["print(\"=== TRAINING ABSTRACTS ===\")\n","Train(train_abstracts_loader,upsto_abstracts_model_path, num_train_epochs=10)\n","print(\"----\")\n","print(\"=== TRAINING CLAIMS ===\")\n","Train(train_claims_loader,upsto_claims_model_path, num_train_epochs=10)"]},{"cell_type":"code","execution_count":40,"metadata":{"id":"IUIwKTDVdTzJ","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1682032764012,"user_tz":240,"elapsed":30306,"user":{"displayName":"Ryan Kim","userId":"18356277368138721144"}},"outputId":"70ca9022-a039-4d35-a7f1-4e1c570af2c1"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'/content/uspto_claims.zip'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":40}],"source":["import shutil\n","shutil.make_archive(\"uspto_abstracts\", 'zip', './models/uspto_abstracts')\n","shutil.make_archive(\"uspto_claims\", 'zip', './models/uspto_claims')\n"]},{"cell_type":"code","source":[],"metadata":{"id":"c0P0PK7V9BDA"},"execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3 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