diff --git a/problem_company_mapping.json b/problem_company_mapping.json
new file mode 100644
index 0000000..fd4e53b
--- /dev/null
+++ b/problem_company_mapping.json
@@ -0,0 +1 @@
+[{"Title":"01 Matrix","company":["Accenture","DoorDash","Flipkart","Graviton"]},{"Title":"1-bit and 2-bit Characters","company":["IXL","Quora"]},{"Title":"132 Pattern","company":["IBM","Intuit"]},{"Title":"2 Keys Keyboard","company":["Salesforce"]},{"Title":"24 Game","company":["Huawei","Roku"]},{"Title":"3Sum","company":["AMD","Accenture","Adobe","Agoda","Altimetrik","Amazon","American Express","Apple","Atlassian","Autodesk","BNY Mellon","Barclays","Bloomberg","Bosch","Cadence","Careem","Cisco","Citadel","Cloudflare","Cognizant","Docusign","Dream11","EPAM Systems","Flipkart","Gojek","Goldman Sachs","HCL","HashedIn","Infosys","Intuit","Meta","Microsoft","Morgan Stanley","Myntra","Nutanix","Nvidia","Oracle","PayPal","Paytm","Rakuten","Salesforce","Samsung","ServiceNow","Siemens","Sprinklr","Tesla","TikTok","Trexquant","Turing","Uber","Vimeo","Visa","Walmart Labs","Warnermedia","Wells Fargo","Wix","Works Applications","Yahoo","Yandex","Zoho","Zomato","Zopsmart","smartnews","tcs"]},{"Title":"3Sum Closest","company":["Adobe","Amazon","Apple","Bloomberg","Google","Meta","Microsoft","Uber","Yahoo","Zoho","tcs"]},{"Title":"3Sum Smaller","company":["Google","PayPal"]},{"Title":"3Sum With Multiplicity","company":["Quora"]},{"Title":"4Sum","company":["Adobe","Amazon","Apple","Bloomberg","Cloudflare","DE Shaw","DoorDash","Google","Infosys","Meta","Microsoft","Rubrik","Samsung","ServiceNow","TikTok","Uber","Yahoo","Zoox","oyo","tcs"]},{"Title":"Abbreviating the Product of a Range","company":["Avalara"]},{"Title":"Accounts Merge","company":["Palantir Technologies","PhonePe","Pinterest","Rippling","Roblox","Snap"]},{"Title":"Active Businesses","company":["Yelp"]},{"Title":"Active Users","company":["ciena"]},{"Title":"Activity Participants","company":["IBM"]},{"Title":"Add Binary","company":["Adobe","Amazon","Apple","Bloomberg","Google","Meta","Microsoft","SIG","Uber","Walmart Labs","tcs"]},{"Title":"Add Bold Tag in String","company":["Gusto"]},{"Title":"Add Digits","company":["American Express"]},{"Title":"Add Edges to Make Degrees of All Nodes Even","company":["Hudson River Trading"]},{"Title":"Add Strings","company":["Airbnb","Avito","Capital One","Jane Street","Wayfair"]},{"Title":"Add Two Integers","company":["Atlassian","Jane Street"]},{"Title":"Add Two Numbers","company":["Accenture","Adobe","Airbnb","Amazon","Apple","Avito","Bloomberg","ByteDance","Capgemini","Capital One","Cisco","Cognizant","Commvault","EPAM Systems","EarnIn","Expedia","Goldman Sachs","Google","Infosys","Intel","Meta","Microsoft","Nutanix","Nvidia","Oracle","Samsung","TikTok","Uber","Walmart Labs","Wix","Yahoo","Yandex","Zopsmart","josh technology","tcs"]},{"Title":"Add Two Numbers II","company":["Juniper Networks"]},{"Title":"Add to Array-Form of Integer","company":["Avito","ByteDance","Zoho"]},{"Title":"Adding Two Negabinary Numbers","company":["Grab"]},{"Title":"Additive Number","company":["Epic Systems"]},{"Title":"Advantage Shuffle","company":["Point72"]},{"Title":"Airplane Seat Assignment Probability","company":["Microstrategy","Toptal"]},{"Title":"Alert Using Same Key-Card Three or More Times in a One Hour Period","company":["Karat","Wayfair"]},{"Title":"Alice and Bob Playing Flower Game","company":["Rubrik"]},{"Title":"Alien Dictionary","company":["Airbnb","Citadel","NetApp","PhonePe","Pocket Gems","Rippling","Snap","Tencent","Wix","X"]},{"Title":"All Ancestors of a Node in a Directed Acyclic Graph","company":["Palantir Technologies"]},{"Title":"All Nodes Distance K in Binary Tree","company":["DE Shaw","DP world","Flipkart","Nutanix","Samsung","Walmart Labs","Wix"]},{"Title":"All O`one Data Structure","company":["Airbnb","Atlassian","LinkedIn","Media.net","Nextdoor"]},{"Title":"All Possible Full Binary Trees","company":["Nvidia"]},{"Title":"Alternating Digit Sum","company":["eBay"]},{"Title":"Alternating Groups I","company":["Samsara"]},{"Title":"Alternating Groups II","company":["Samsara"]},{"Title":"Amount of Time for Binary Tree to Be Infected","company":["Flipkart","Goldman Sachs","Nutanix","PhonePe","ServiceNow","ShareChat","Snap"]},{"Title":"Analyze User Website Visit Pattern","company":["DoorDash","Spotify"]},{"Title":"Angle Between Hands of a Clock","company":["Epic Systems","Siemens","UKG"]},{"Title":"Ant on the Boundary","company":["Accenture"]},{"Title":"Apply Bitwise Operations to Make Strings Equal","company":["Sprinklr"]},{"Title":"Apply Operations on Array to Maximize Sum of Squares","company":["Sprinklr"]},{"Title":"Apply Operations to Make String Empty","company":["Virtusa"]},{"Title":"Apply Operations to Make Sum of Array Greater Than or Equal to k","company":["Turing","ZScaler"]},{"Title":"Apply Operations to Make Two Strings Equal","company":["Zeta"]},{"Title":"Apply Operations to Maximize Frequency Score","company":["Deutsche Bank","PhonePe"]},{"Title":"Arithmetic Slices","company":["Baidu"]},{"Title":"Arithmetic Slices II - 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Morgan"]},{"Title":"Ugly Number II","company":["Accenture","EPAM Systems"]},{"Title":"Ugly Number III","company":["American Express"]},{"Title":"Unique Binary Search Trees","company":["Adobe","Amazon","Apple","Bloomberg","Clari","Microsoft","Samsung","Snap","TikTok","Tower Research Capital","Yahoo","Zoho"]},{"Title":"Unique Binary Search Trees II","company":["Amazon","Apple","Bloomberg","Meta","Microsoft","Uber"]},{"Title":"Unique Email Addresses","company":["Intuit","Twitch","Wix"]},{"Title":"Unique Morse Code Words","company":["Wix"]},{"Title":"Unique Number of Occurrences","company":["Datadog"]},{"Title":"Unique Paths","company":["Accenture","Adobe","Amazon","Apple","Bloomberg","ByteDance","Cisco","Coupang","DE Shaw","Goldman Sachs","Grammarly","Meta","Microsoft","Oracle","Roblox","TikTok","Uber","Yahoo","Zomato","tcs"]},{"Title":"Unique Paths II","company":["Adobe","Agoda","Amazon","Apple","Atlassian","Bloomberg","Cisco","Coupang","Cruise","Flipkart","Meta","Microsoft","Pinterest","Uber","Yahoo","Zepto","Zomato","athenahealth"]},{"Title":"Unique Paths III","company":["Cruise","Pinterest"]},{"Title":"Unique Substrings With Equal Digit Frequency","company":["Expedia"]},{"Title":"Unique Substrings in Wraparound String","company":["MAQ Software"]},{"Title":"Unique Word Abbreviation","company":["Google"]},{"Title":"Univalued Binary Tree","company":["Twilio"]},{"Title":"User Activity for the Past 30 Days I","company":["Zoom"]},{"Title":"User Activity for the Past 30 Days II","company":["Zoom"]},{"Title":"Valid Anagram","company":["Accenture","Affirm","American Express","Atlassian","BlackRock","Capgemini","Cognizant","ConsultAdd","Disney","EPAM Systems","Fidelity","Goldman Sachs","Google","Infosys","Mastercard","Nagarro","Nokia","Oracle","PayPal","Rokt","Siemens","Tech Mahindra","Tesla","Visa","Walmart Labs","Wipro","Yandex","Yelp","persistent systems","tcs"]},{"Title":"Valid Arrangement of Pairs","company":["Goldman Sachs","Snap"]},{"Title":"Valid Number","company":["Amazon","Apple","Google","Instacart","LinkedIn","Meta","Nutanix","TikTok"]},{"Title":"Valid Palindrome","company":["Accenture","American Express","Axon","Bank of America","Cadence","Capgemini","Cisco","EPAM Systems","Infosys","Intel","RBC","SAP","ServiceNow","Shopee","Spotify","TikTok","Tinkoff","Toast","Turing","Uber","VK","Visa","Wayfair","Wipro","Yahoo","Yandex","Zenefits"]},{"Title":"Valid Palindrome II","company":["Attentive","Fortinet","Roku","Walmart Labs","Whatnot","Yandex","eBay"]},{"Title":"Valid Parentheses","company":["Accenture","Accolite","Adobe","Agoda","Airbnb","Amazon","Anduril","Apple","Autodesk","Bank of America","Barclays","BlackRock","Bloomberg","Bolt","Booking.com","Braze","Capital One","Cisco","Cognizant","Criteo","DE Shaw","Dell","Deloitte","Disney","EPAM Systems","Epic Systems","Expedia","FreshWorks","GE Healthcare","Goldman Sachs","Google","Grab","HCL","Huawei","IBM","Infosys","Intel","Intuit","J.P. Morgan","LinkedIn","Lucid","Mastercard","Meta","Microsoft","Millennium","Mitsogo","Morgan Stanley","Nagarro","Netflix","Nike","Nvidia","Odoo","Ozon","Palo Alto Networks","PayPal","Paytm","Publicis Sapient","Qualcomm","Roblox","SAP","SOTI","Salesforce","Samsung","ServiceNow","Shopee","Siemens","Splunk","Spotify","Squarespace","Swiggy","Tencent","Tesla","ThoughtWorks","TikTok","Tripadvisor","Turing","UBS","Uber","VK","Visa","Walmart Labs","Wipro","Wix","X","Yahoo","Yandex","Zenefits","Zillow","Zoho","eBay","opentext","persistent systems","tcs"]},{"Title":"Valid Parenthesis String","company":["Alibaba","Blizzard","Roku","ServiceNow","Tekion"]},{"Title":"Valid Perfect Square","company":["LinkedIn","SAP"]},{"Title":"Valid Phone Numbers","company":["Media.net"]},{"Title":"Valid Square","company":["Pure Storage"]},{"Title":"Valid Sudoku","company":["Adobe","Amazon","Apple","Attentive","Autodesk","Bloomberg","Confluent","DoorDash","Geico","Goldman Sachs","Instacart","Karat","Media.net","Meta","Microsoft","MongoDB","Nvidia","Oracle","PayPal","Riot Games","Samsara","Snap","TikTok","Uber","Veeva Systems","Visa","Walmart Labs","Waymo","Yahoo","Zoho"]},{"Title":"Valid Triangle Number","company":["Expedia","LinkedIn"]},{"Title":"Valid Word","company":["Expedia","UKG"]},{"Title":"Valid Word Abbreviation","company":["Datadog","Disney","Rokt","Snowflake"]},{"Title":"Validate Binary Search Tree","company":["Adobe","Amazon","Apple","Arista Networks","Bloomberg","Citadel","IBM","LinkedIn","Meta","Microsoft","Nvidia","Oracle","SIG","Salesforce","ServiceNow","TikTok","Uber","Wix","Yahoo","Yandex","eBay"]},{"Title":"Validate IP Address","company":["Cisco","Deutsche Bank","Flexport","Nvidia","ServiceNow","Sprinklr","Turing","X"]},{"Title":"Validate Stack Sequences","company":["Apollo.io"]},{"Title":"Verbal Arithmetic Puzzle","company":["Atlassian","Wells Fargo"]},{"Title":"Verify Preorder Sequence in Binary Search Tree","company":["Nvidia","Zenefits"]},{"Title":"Verifying an Alien Dictionary","company":["Snap","Wix"]},{"Title":"Vertical Order Traversal of a Binary Tree","company":["Deliveroo","DoorDash","Samsung","eBay"]},{"Title":"Video Stitching","company":["Anduril","Verily"]},{"Title":"Viewers Turned Streamers","company":["PhonePe"]},{"Title":"Vowel Spellchecker","company":["Grammarly"]},{"Title":"Vowels of All Substrings","company":["ServiceNow"]},{"Title":"Walking Robot Simulation","company":["Jane Street","PhonePe","Shopify"]},{"Title":"Walking Robot Simulation II","company":["Block"]},{"Title":"Walls and Gates","company":["DoorDash","Google","Salesforce","Shopify","Snowflake","Spotify","Visa"]},{"Title":"Water Bottles","company":["Amadeus","HiLabs"]},{"Title":"Water and Jug Problem","company":["Lyft","Wells Fargo"]},{"Title":"Watering Plants","company":["Amadeus"]},{"Title":"Ways to Make a Fair Array","company":["DoorDash","Dunzo","Nvidia","PhonePe","Twilio"]},{"Title":"Ways to Split Array Into Three Subarrays","company":["Robinhood","Tekion"]},{"Title":"Weather Type in Each Country","company":["Point72"]},{"Title":"Web Crawler","company":["Dropbox","Rubrik"]},{"Title":"Web Crawler Multithreaded","company":["Databricks","Dropbox","MongoDB","OpenAI","Rubrik"]},{"Title":"Widest Vertical Area Between Two Points Containing No Points","company":["General Motors"]},{"Title":"Wiggle Sort","company":["Google","Myntra"]},{"Title":"Wiggle Subsequence","company":["Electronic Arts"]},{"Title":"Wildcard Matching","company":["Adobe","Amazon","Apple","Bloomberg","Confluent","Coupang","Coursera","Google","Instacart","Meta","Microsoft","Salesforce","Snap","Twilio","Two Sigma","Uber","Walmart Labs","X","Zoho"]},{"Title":"Word Abbreviation","company":["Applied Intuition","Snap"]},{"Title":"Word Break","company":["Block","Cleartrip","Coupang","CureFit","Flipkart","Grammarly","IBM","Intuit","MongoDB","Netflix","Netskope","Nordstrom","Nutanix","Otter.ai","Palo Alto Networks","Pocket Gems","SAP","Salesforce","Snowflake","TikTok","Uber","Walmart Labs","Yahoo","Zoho","eBay"]},{"Title":"Word Break II","company":["Dropbox","Grammarly","Moveworks","Oracle","ServiceNow","Snap","TikTok","Uber","X"]},{"Title":"Word Ladder","company":["Box","Juspay","LinkedIn","Navan","Nutanix","PhonePe","Reddit","Samsung","Snap","Tekion","The Trade Desk","TikTok","Uber","Visa","Yahoo","Yelp","ZScaler","eBay"]},{"Title":"Word Ladder II","company":["Citadel","LinkedIn","Lyft","TikTok","Yelp"]},{"Title":"Word Pattern","company":["Dropbox","Google","Zoho"]},{"Title":"Word Pattern II","company":["Dropbox"]},{"Title":"Word Search","company":["Adobe","Amazon","Apple","Arista Networks","Atlassian","Bloomberg","Capital One","Cisco","Citadel","Epic Systems","Faire","FreshWorks","Goldman Sachs","Grammarly","Karat","MakeMyTrip","Meta","Microsoft","Morgan Stanley","Netflix","Oracle","PayPal","Paytm","Samsung","Snap","TikTok","Uber","Visa","Walmart Labs","Whatnot","Wix","Zepto","Zoho","tcs"]},{"Title":"Word Search II","company":["Airbnb","Aurora","Block","Capital One","Cisco","DoorDash","Google","Instacart","Karat","PayPal","Roblox","Snowflake","Two Sigma","Wix","Zoho","eBay"]},{"Title":"XOR Queries of a Subarray","company":["Airtel"]},{"Title":"Zigzag Conversion","company":["Adobe","Amazon","Apple","BitGo","Bloomberg","Cisco","ConsultAdd","Goldman Sachs","Intuit","Meta","Microsoft","Microstrategy","Mitsogo","Oracle","PayPal","PayPay","ServiceNow","Uber","Yahoo","Zoho","Zopsmart","carwale"]},{"Title":"Zigzag Iterator","company":["Coinbase","Google"]},{"Title":"Zuma Game","company":["Baidu"]}]
\ No newline at end of file
diff --git a/script.ipynb b/script.ipynb
new file mode 100644
index 0000000..bf6a9a6
--- /dev/null
+++ b/script.ipynb
@@ -0,0 +1,322 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8a81eea2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "root = Path.cwd()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fe8a598",
+   "metadata": {},
+   "source": [
+    "Eg df\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "74215ee0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>Difficulty</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Frequency</th>\n",
+       "      <th>Acceptance Rate</th>\n",
+       "      <th>Link</th>\n",
+       "      <th>Topics</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>EASY</td>\n",
+       "      <td>Two Sum</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>0.557770</td>\n",
+       "      <td>https://leetcode.com/problems/two-sum</td>\n",
+       "      <td>Array, Hash Table</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>MEDIUM</td>\n",
+       "      <td>Add Two Numbers</td>\n",
+       "      <td>75.2</td>\n",
+       "      <td>0.462251</td>\n",
+       "      <td>https://leetcode.com/problems/add-two-numbers</td>\n",
+       "      <td>Linked List, Math, Recursion</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>HARD</td>\n",
+       "      <td>Trapping Rain Water</td>\n",
+       "      <td>73.7</td>\n",
+       "      <td>0.651019</td>\n",
+       "      <td>https://leetcode.com/problems/trapping-rain-water</td>\n",
+       "      <td>Array, Two Pointers, Dynamic Programming, Stac...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>HARD</td>\n",
+       "      <td>Median of Two Sorted Arrays</td>\n",
+       "      <td>73.2</td>\n",
+       "      <td>0.438146</td>\n",
+       "      <td>https://leetcode.com/problems/median-of-two-so...</td>\n",
+       "      <td>Array, Binary Search, Divide and Conquer</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MEDIUM</td>\n",
+       "      <td>Longest Substring Without Repeating Characters</td>\n",
+       "      <td>70.1</td>\n",
+       "      <td>0.369362</td>\n",
+       "      <td>https://leetcode.com/problems/longest-substrin...</td>\n",
+       "      <td>Hash Table, String, Sliding Window</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Difficulty                                           Title  Frequency  \\\n",
+       "0       EASY                                         Two Sum      100.0   \n",
+       "1     MEDIUM                                 Add Two Numbers       75.2   \n",
+       "2       HARD                             Trapping Rain Water       73.7   \n",
+       "3       HARD                     Median of Two Sorted Arrays       73.2   \n",
+       "4     MEDIUM  Longest Substring Without Repeating Characters       70.1   \n",
+       "\n",
+       "   Acceptance Rate                                               Link  \\\n",
+       "0         0.557770              https://leetcode.com/problems/two-sum   \n",
+       "1         0.462251      https://leetcode.com/problems/add-two-numbers   \n",
+       "2         0.651019  https://leetcode.com/problems/trapping-rain-water   \n",
+       "3         0.438146  https://leetcode.com/problems/median-of-two-so...   \n",
+       "4         0.369362  https://leetcode.com/problems/longest-substrin...   \n",
+       "\n",
+       "                                              Topics  \n",
+       "0                                  Array, Hash Table  \n",
+       "1                       Linked List, Math, Recursion  \n",
+       "2  Array, Two Pointers, Dynamic Programming, Stac...  \n",
+       "3           Array, Binary Search, Divide and Conquer  \n",
+       "4                 Hash Table, String, Sliding Window  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"Google/5. All.csv\")\n",
+    "df.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c0be7eaf",
+   "metadata": {},
+   "source": [
+    "Read and merge all csv files\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "9852b068",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_list = []\n",
+    "\n",
+    "for folder in root.iterdir():\n",
+    "\n",
+    "    csv = folder / \"5. All.csv\"\n",
+    "\n",
+    "    if not csv.exists():\n",
+    "        continue\n",
+    "\n",
+    "    df = pd.read_csv(csv, usecols=['Title'])\n",
+    "    df['company'] = folder.name\n",
+    "    df_list.append(df)\n",
+    "\n",
+    "combined = pd.concat(df_list, ignore_index=True)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f2be5e0",
+   "metadata": {},
+   "source": [
+    "Problem : company mapping\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9bdf9733",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>Title</th>\n",
+       "      <th>company</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01 Matrix</td>\n",
+       "      <td>[Accenture, DoorDash, Flipkart, Graviton]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1-bit and 2-bit Characters</td>\n",
+       "      <td>[IXL, Quora]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>132 Pattern</td>\n",
+       "      <td>[IBM, Intuit]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2 Keys Keyboard</td>\n",
+       "      <td>[Salesforce]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>24 Game</td>\n",
+       "      <td>[Huawei, Roku]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        Title                                    company\n",
+       "0                   01 Matrix  [Accenture, DoorDash, Flipkart, Graviton]\n",
+       "1  1-bit and 2-bit Characters                               [IXL, Quora]\n",
+       "2                 132 Pattern                              [IBM, Intuit]\n",
+       "3             2 Keys Keyboard                               [Salesforce]\n",
+       "4                     24 Game                             [Huawei, Roku]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summary = (\n",
+    "    combined\n",
+    "    .groupby('Title', as_index=False)['company']\n",
+    "    .agg(lambda values: sorted(set(values)))\n",
+    ")\n",
+    "summary.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4236cf32",
+   "metadata": {},
+   "source": [
+    "Save json\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "8fcc6676",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "summary.to_json(\n",
+    "    root / 'problem_company_mapping.json',\n",
+    "    orient='records',\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e6b17f25",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# summary.to_csv(\n",
+    "#     root / 'problem_company_mapping.csv',\n",
+    "#     index=False\n",
+    "# )\n"
+   ]
+  }
+ ],
+ "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": "3.14.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}