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diff --git a/megapixels/notebooks/datasets/pipa/flickr_cleanup.ipynb b/megapixels/notebooks/datasets/pipa/flickr_cleanup.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# PIPA Flickr Metadata Cleanup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
+    "import os\n",
+    "from os.path import join\n",
+    "from glob import glob\n",
+    "from pathlib import Path\n",
+    "\n",
+    "from tqdm import tqdm_notebook as tqdm\n",
+    "import pandas as pd\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('/work/megapixels_dev/megapixels')\n",
+    "from app.utils import file_utils"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load CSV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fp_in_api_photo_id = '/data_store_hdd/datasets/people/pipa/research/flickr_api_photo_id.csv'\n",
+    "fp_out_filepaths = '/data_store_hdd/datasets/people/pipa/research/pipa_filepaths.csv'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(fp_in_api_photo_id)\n",
+    "records = df.to_dict('records')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results = []\n",
+    "for record in records:\n",
+    "  obj = {\n",
+    "    'photo_id': record.get('photo_id'),\n",
+    "    'nsid': record.get('nsid'),\n",
+    "    'url': record.get('url'),\n",
+    "    'secret': record.get('secret'),\n",
+    "    'filepath': f'{photo_id}_{secret}.jpg'\n",
+    "  }\n",
+    "  results.append(obj)\n",
+    "  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame.from_dict(results).to_csv(fp_out_filepaths, index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create metadata csv output\n",
+    "\n",
+    "|nsid|path_alias|count|"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_flickr_meta = pd.read_csv(fp_in)\n",
+    "df_flickr_meta.fillna('', inplace=True)\n",
+    "flickr_metas = df_flickr_meta.to_dict('records')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create nsid lookup table\n",
+    "nsid_lookup = {}\n",
+    "alias_lookup = {}\n",
+    "for flickr_meta in flickr_metas:\n",
+    "  nsid = flickr_meta['nsid']\n",
+    "  nsid_lookup[nsid] = flickr_meta\n",
+    "  alias_lookup[nsid] = flickr_meta['path_alias']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nsid_groups = df_flickr_meta.groupby('nsid')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "items = []\n",
+    "for nsid, nsid_group in nsid_groups:\n",
+    "  path_alias = alias_lookup[nsid]\n",
+    "  obj = {'nsid': nsid, 'path_alias': path_alias, 'count': len(nsid_group)}\n",
+    "  items.append(obj)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_out = pd.DataFrame.from_dict(items)\n",
+    "df_out.to_csv(fp_out, index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "megapixels",
+   "language": "python",
+   "name": "megapixels"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}