minor cleanup

.ipynb_checkpoints/hn_hiring_posts-checkpoint.ipynb

@@ -1,101 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "056aa255-fda1-4cde-be24-459f6ad2c8b9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/usr/local/anaconda3/lib/python3.8/site-packages/IPython/core/interactiveshell.py:3165: DtypeWarning: Columns (4) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "df = pd.read_csv('raw/bq-results-20211206-133858-irtkgx60el7i.csv').drop(['ParentUrl', 'ParentAuthor', 'ParentTime', 'ParentScore'], axis=1)\n",
-    "\n",
-    "# There's a mix of HTML, sanitized links and raw Unicode that we'd like to clean up\n",
-    "df.text = df.text.str.replace('<p>', '\\n')\n",
-    "strings_to_remove = ['rel=\"nofollow\"', '<pre>', '</pre>', '<i>', '</i>', '<code>', '</code>', '&gt;']\n",
-    "email_regex = '[a-zA-Z0-9._-]{0,30}@[a-zA-Z0-9._-]{0,20}\\.[a-zA-Z0-9_-]{2,3}' # for redacting emails\n",
-    "munged_url_regex = 'http(s)?:\\&\\#.*?\\<\\/a>'\n",
-    "\n",
-    "for string in strings_to_remove:\n",
-    "    df.text = df.text.str.replace(string, '')\n",
-    "\n",
-    "\n",
-    "df.text = df.text.replace(email_regex, 'REDACTED_EMAIL', regex=True)\n",
-    "df.text = df.text.replace(munged_url_regex, '', regex=True)\n",
-    "\n",
-    "    # fix some unicode issues\n",
-    "df.text = df.text.str.replace('&#x27;', \"'\")\n",
-    "df.text = df.text.str.replace('&#x2F;', \"/\")\n",
-    "df.text = df.text.str.replace(\"&quot;\", '\"')\n",
-    "\n",
-    "hiring_df = df[df.ParentTitle.str.lower().str.contains('who is hiring')]\n",
-    "wants_to_be_hired_df = df[df.ParentTitle.str.lower().str.contains('wants to be hired')]\n",
-    "freelancer_df = df[df.ParentTitle.str.lower().str.contains('freelancer')]\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "57ca7c96-d94c-4e65-8113-da7729558247",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/dan.becker/Desktop/hackernews_hiring_dataset/. is already a clone of https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts. Make sure you pull the latest changes with `repo.git_pull()`.\n"
-     ]
-    }
-   ],
-   "source": [
-    "import datasets\n",
-    "from huggingface_hub import create_repo\n",
-    "from huggingface_hub import Repository\n",
-    "\n",
-    "all_datasets = datasets.dataset_dict.DatasetDict({'hiring': datasets.Dataset.from_pandas(hiring_df).remove_columns('__index_level_0__'),\n",
-    "                                                  'wants_to_be_hired': datasets.Dataset.from_pandas(wants_to_be_hired_df).remove_columns('__index_level_0__'),\n",
-    "                                                  'freelancer': datasets.Dataset.from_pandas(freelancer_df).remove_columns('__index_level_0__')})\n",
-    "data_path = './data'\n",
-    "all_datasets.save_to_disk(data_path)\n",
-    "\n",
-    "repo_url = 'https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts'\n",
-    "repo = Repository(local_dir=\".\", clone_from=repo_url)\n",
-    "repo.git_add(data_path)\n",
-    "repo.git_add('*.ipynb')\n",
-    "repo.git_add('README.md')\n",
-    "repo.git_commit(\"Add README\")"
-   ]
-  }
- ],
- "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": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}