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4440a4ad7020109be0bdf1e6bfc021f659ebfa96 · 2026-07-23 13:21:41 -0700 · Steve Abrams
Files touched
A data/artifacts/5a4b7a0e832e/gemma3-12b.htmlA data/artifacts/5a4b7a0e832e/gemma3-12b.pngA data/artifacts/5a4b7a0e832e/hermes3-8b.htmlA data/artifacts/5a4b7a0e832e/hermes3-8b.pngA data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.htmlA data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.pngM data/challenges.json
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commit 4440a4ad7020109be0bdf1e6bfc021f659ebfa96
Author: Steve Abrams <steve@designerwallcoverings.com>
Date: Thu Jul 23 13:21:41 2026 -0700
auto-save: 2026-07-23T13:21:35 (7 files) — data/challenges.json data/artifacts/5a4b7a0e832e/gemma3-12b.html data/artifacts/5a4b7a0e832e/gemma3-12b.png data/artifacts/5a4b7a0e832e/hermes3-8b.html data/artifacts/5a4b7a0e832e/hermes3-8b.png
---
data/artifacts/5a4b7a0e832e/gemma3-12b.html | 211 +++++++++++++++++++++
data/artifacts/5a4b7a0e832e/gemma3-12b.png | Bin 0 -> 31595 bytes
data/artifacts/5a4b7a0e832e/hermes3-8b.html | 108 +++++++++++
data/artifacts/5a4b7a0e832e/hermes3-8b.png | Bin 0 -> 19670 bytes
data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.html | 145 ++++++++++++++
data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.png | Bin 0 -> 47850 bytes
data/challenges.json | 107 ++++++++---
7 files changed, 547 insertions(+), 24 deletions(-)
diff --git a/data/artifacts/5a4b7a0e832e/gemma3-12b.html b/data/artifacts/5a4b7a0e832e/gemma3-12b.html
new file mode 100644
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+++ b/data/artifacts/5a4b7a0e832e/gemma3-12b.html
@@ -0,0 +1,211 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="UTF-8">
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+ <title>Sublease.com Broker/Source Leaderboard</title>
+ <style>
+ body { font-family: sans-serif; margin: 20px; }
+ h1 { color: #333; }
+ table { border-collapse: collapse; width: 100%; margin-bottom: 20px; }
+ th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
+ th { background-color: #f2f2f2; }
+ .sortable { cursor: pointer; }
+ .sortable::after { content: " ▼"; vertical-align: middle; }
+ #chartContainer { width: 100%; height: 300px; margin-bottom: 20px; }
+ .filters { display: flex; gap: 10px; margin-bottom: 20px; }
+ .filterButton { background-color: #4CAF50; color: white; padding: 10px 15px; border: none; cursor: pointer; }
+ </style>
+</head>
+<body>
+
+ <h1>Sublease.com Broker/Source Leaderboard</h1>
+
+ <div class="filters">
+ <button onclick="filterListings('all')" style="display: inline-block;">All Sources</button>
+ <!-- Filter buttons will be dynamically generated -->
+ </div>
+
+ <h2>Top Markets by Listing Count & SqFt</h2>
+ <div id="chartContainer"></div>
+
+ <h2>Broker/Source Leaderboard</h2>
+ <table id="leaderboardTable">
+ <thead>
+ <tr>
+ <th class="sortable" data-field="source">Source</th>
+ <th class="sortable" data-field="listing_count">Listing Count</th>
+ <th class="sortable" data-field="total_sqft">Total SqFt</th>
+ </tr>
+ </thead>
+ <tbody>
+ <!-- Leaderboard rows will be dynamically generated -->
+ </tbody>
+ </table>
+
+ <h2>Sample Listings</h2>
+ <div id="sampleListings">
+ <!-- Sample listings will be displayed here -->
+ </div>
+
+
+ <script>
+ const sampleListing = {
+ "title": "Modern Office Space in Downtown Denver",
+ "city": "Denver",
+ "state": "CO",
+ "space_type": "Office",
+ "size_sf": 1200,
+ "term": "3 Years",
+ "source_url": "https://example.com/denver-office"
+ };
+
+ const listings = [
+ sampleListing,
+ { "title": "Flexible Co-working Space in Austin", "city": "Austin", "state": "TX", "space_type": "Coworking", "size_sf": 500, "term": "Month-to-month", "source_url": "https://example.com/austin-cowork" },
+ { "title": "Retail Space in Chicago Loop", "city": "Chicago", "state": "IL", "space_type": "Retail", "size_sf": 1500, "term": "5 Years", "source_url": "https://example.com/chicago-retail" },
+ { "title": "Warehouse Space in Atlanta", "city": "Atlanta", "state": "GA", "space_type": "Industrial", "size_sf": 3000, "term": "2 Years", "source_url": "https://example.com/atlanta-warehouse" },
+ { "title": "Medical Office in Seattle", "city": "Seattle", "state": "WA", "space_type": "Medical", "size_sf": 800, "term": "1 Year", "source_url": "https://example.com/seattle-medical" },
+ { "title": "Call Center in Phoenix", "city": "Phoenix", "state": "AZ", "space_type": "Office", "size_sf": 2500, "term": "3 Years", "source_url": "https://example.com/phoenix-callcenter" },
+ { "title": "Restaurant Space in Miami Beach", "city": "Miami Beach", "state": "FL", "space_type": "Retail", "size_sf": 1800, "term": "5 Years", "source_url": "https://example.com/miami-restaurant" },
+ { "title": "Shared Office in San Francisco", "city": "San Francisco", "state": "CA", "space_type": "Coworking", "size_sf": 600, "term": "Month-to-month", "source_url": "https://example.com/sanfrancisco-cowork" },
+ { "title": "Lab Space in Boston", "city": "Boston", "state": "MA", "space_type": "Laboratory", "size_sf": 2000, "term": "3 Years", "source_url": "https://example.com/boston-lab" },
+ { "title": "Creative Office in Portland", "city": "Portland", "state": "OR", "space_type": "Office", "size_sf": 1000, "term": "2 Years", "source_url": "https://example.com/portland-creative" },
+ { "title": "Data Center in Dallas", "city": "Dallas", "state": "TX", "space_type": "Industrial", "size_sf": 5000, "term": "5 Years", "source_url": "https://example.com/dallas-datacenter" },
+ { "title": "Gym Space in Los Angeles", "city": "Los Angeles", "state": "CA", "space_type": "Retail", "size_sf": 2200, "term": "3 Years", "source_url": "https://example.com/losangeles-gym" },
+ { "title": "Pop-up Shop in New York City", "city": "New York City", "state": "NY", "space_type": "Retail", "size_sf": 750, "term": "6 Months", "source_url": "https://example.com/nyc-popup" },
+ { "title": "Office in Charlotte", "city": "Charlotte", "state": "NC", "space_type": "Office", "size_sf": 1300, "term": "2 Years", "source_url": "https://example.com/charlotte-office" },
+ { "title": "Retail in Minneapolis", "city": "Minneapolis", "state": "MN", "space_type": "Retail", "size_sf": 1600, "term": "4 Years", "source_url": "https://example.com/minneapolis-retail" },
+ { "title": "Call Center in Tampa", "city": "Tampa", "state": "FL", "space_type": "Office", "size_sf": 2100, "term": "3 Years", "source_url": "https://example.com/tampa-callcenter"}
+ ];
+
+ let allListings = listings;
+ let filteredListings = [...listings]; // Start with all listings
+ let sources = new Set();
+
+ listings.forEach(listing => {
+ sources.add(listing.source_url.replace(/https:\/\/(www\.)?/, '').split('/')[0]);
+ });
+
+
+ const sourceData = {};
+ listings.forEach(listing => {
+ const source = listing.source_url.replace(/https:\/\/(www\.)?/, '').split('/')[0];
+ sourceData[source] = sourceData[source] || { listings: [], total_sqft: 0 };
+ sourceData[source].listings.push(listing);
+ sourceData[source].total_sqft += listing.size_sf;
+ });
+
+ let leaderboardData = [];
+ for (const source in sourceData) {
+ leaderboardData.push({
+ source: source,
+ listing_count: sourceData[source].listings.length,
+ total_sqft: sourceData[source].total_sqft
+ });
+ }
+
+ leaderboardData.sort((a, b) => b.listing_count - a.listing_count); //Sort by Listing Count
+
+
+ // Function to generate filter buttons dynamically
+ function generateFilterButtons() {
+ const filtersContainer = document.querySelector('.filters');
+ filtersContainer.innerHTML = '';
+
+ Array.from(sources).forEach(source => {
+ const button = document.createElement('button');
+ button.className = 'filterButton';
+ button.textContent = source;
+ button.onclick = () => filterListings(source);
+ filtersContainer.appendChild(button);
+ });
+
+ }
+
+ generateFilterButtons();
+
+
+ function populateLeaderboard() {
+ const tableBody = document.getElementById('leaderboardTable').querySelector('tbody');
+ tableBody.innerHTML = ''; // Clear existing rows
+
+ leaderboardData.forEach(data => {
+ const row = document.createElement('tr');
+ row.innerHTML = `
+ <td>${data.source}</td>
+ <td class="sortable" data-field="listing_count">${data.listing_count}</td>
+ <td class="sortable" data-field="total_sqft">${data.total_sqft}</td>
+ `;
+ tableBody.appendChild(row);
+ });
+
+ // Add event listeners for sorting
+ const sortableHeaders = document.querySelectorAll('.sortable');
+ sortableHeaders.forEach(header => {
+ header.addEventListener('click', () => {
+ sortTable(header.dataset.field);
+ });
+ });
+ }
+
+
+ function populateSampleListings() {
+ const sampleContainer = document.getElementById("sampleListings");
+
+ listings.slice(0, 5).forEach(listing => { // Display first 5 listings as samples
+ const listingDiv = document.createElement('div');
+ listingDiv.innerHTML = `<h3>${listing.title}</h3><p>City: ${listing.city}, State: ${listing.state}</p><p>Space Type: ${listing.space_type}, Size: ${listing.size_sf} SF</p>`;
+ sampleContainer.appendChild(listingDiv);
+ });
+
+ }
+
+
+ function sortTable(field) {
+ leaderboardData.sort((a, b) => {
+ if (a[field] > b[field]) return -1;
+ if (a[field] < b[field]) return 1;
+ return 0;
+ });
+
+ populateLeaderboard(); // Refresh the table after sorting
+ }
+
+
+ function filterListings(source) {
+ if (source === 'all') {
+ filteredListings = [...listings];
+ } else {
+ filteredListings = listings.filter(listing => listing.source_url.replace(/https:\/\/(www\.)?/, '').split('/')[0] === source);
+ }
+
+ populateLeaderboard(); // Refresh the table after filtering
+ }
+
+
+ // Dummy Chart (Replace with real charting logic if needed)
+ function createDummyChart() {
+ const topMarkets = Object.keys(sourceData).slice(0, 5); // Top 5 sources for chart
+
+ const marketSizes = topMarkets.map(market => sourceData[market].listings.length); // Use listing count for bar height
+
+ let chartHTML = '<ul>';
+ for (let i = 0; i < topMarkets.length; i++) {
+ chartHTML += `<li>${topMarkets[i]} - ${marketSizes[i]} listings</li>`;
+ }
+ chartHTML += '</ul>';
+
+
+ document.getElementById('chartContainer').innerHTML = chartHTML; //Display list as a placeholder for a real graph
+ }
+
+
+ // Initialize the page
+ populateLeaderboard();
+ createDummyChart();
+ populateSampleListings();
+
+ </script>
+</body>
+</html>
\ No newline at end of file
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+++ b/data/artifacts/5a4b7a0e832e/hermes3-8b.html
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+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="UTF-8">
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+ <title>sublease.com Leaderboard</title>
+ <style>
+ body {
+ font-family: Arial, sans-serif;
+ background-color: #f0f0f0;
+ margin: 0;
+ padding: 20px;
+ color: #333;
+ }
+ table {
+ border-collapse: collapse;
+ width: 100%;
+ }
+ th, td {
+ text-align: left;
+ padding: 8px;
+ border-bottom: 1px solid #ddd;
+ }
+ tr:hover {
+ background-color: #f5f5f5;
+ }
+ .bar {
+ display: inline-block;
+ width: 20px;
+ height: 20px;
+ margin-left: 10px;
+ background-color: #4CAF50;
+ }
+ </style>
+</head>
+<body>
+ <h1>sublease.com Leaderboard</h1>
+ <table id="leaderboard">
+ <thead>
+ <tr>
+ <th>Source/Market</th>
+ <th>Listings</th>
+ <th>Total Sq Ft</th>
+ </tr>
+ </thead>
+ <tbody>
+ <!-- Dynamic content will be inserted here -->
+ </tbody>
+ </table>
+
+ <div id="filters">
+ <button onclick="filterBySource('Cresa')">Cresa</button>
+ <button onclick="filterBySource('JLL')">JLL</button>
+ <button onclick="filterBySource('CBRE')">CBRE</button>
+ <!-- Add more buttons for other sources -->
+ </div>
+
+ <h2>Top Markets by Listings</h2>
+ <div id="topMarkets">
+ <!-- Dynamic content will be inserted here -->
+ </div>
+
+ <script>
+ // Sample listings data
+ const listings = [
+ {"title": "Amazing Office Space", "city": "New York", "state": "NY", "space_type": "Office", "size_sf": 5000, "term": "6 months", "source_url": "https://cresa.com"},
+ {"title": "Cool Coworking Spot", "city": "San Francisco", "state": "CA", "space_type": "Coworking", "size_sf": 3000, "term": "12 months", "source_url": "https://jll.com"},
+ // Add more listings in the same format
+ ];
+
+ const markets = [
+ {"name": "New York", "listings": 100},
+ {"name": "San Francisco", "listings": 80},
+ // Add more markets with their respective listing counts
+ ];
+
+ // Function to sort and render the leaderboard table
+ function renderLeaderboard() {
+ const tbody = document.querySelector("#leaderboard tbody");
+ tbody.innerHTML = ""; // Clear existing content
+
+ // Sort sources by total listings count and square footage, then aggregate market data
+ // This can be done using JavaScript's built-in sorting and reducing functions
+
+ // Render the sorted/aggregated data in the table body
+ }
+
+ // Function to render top markets bar chart
+ function renderTopMarkets() {
+ const div = document.querySelector("#topMarkets");
+ div.innerHTML = ""; // Clear existing content
+
+ // Render a simple bar chart using inline styles based on market listing counts
+ }
+
+ // Function to filter listings by source when buttons are clicked
+ function filterBySource(source) {
+ // Filter the listings data and render the filtered results in the table body
+ }
+
+ // Call functions to populate the leaderboard and top markets content on page load
+ document.addEventListener("DOMContentLoaded", () => {
+ renderLeaderboard();
+ renderTopMarkets();
+ });
+ </script>
+</body>
+</html>
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diff --git a/data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.html b/data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.html
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+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="UTF-8">
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+ <title>Sublease.com Broker/Source Leaderboard</title>
+ <style>
+ body { font-family: Arial, sans-serif; background-color: #f4f4f9; margin: 0; padding: 20px; }
+ h1 { text-align: center; color: #333; }
+ table { width: 100%; border-collapse: collapse; margin-top: 20px; }
+ th, td { padding: 10px; text-align: left; border-bottom: 1px solid #ddd; }
+ th { cursor: pointer; background-color: #f8f8f8; }
+ tr:hover { background-color: #f1f1f1; }
+ .bar-chart { display: flex; margin-top: 20px; }
+ .bar { height: 30px; background-color: #4CAF50; margin-right: 5px; }
+ .source-listings { margin-top: 20px; }
+ .source-listings table { margin-bottom: 20px; }
+ </style>
+</head>
+<body>
+ <h1>Sublease.com Broker/Source Leaderboard</h1>
+ <table id="leaderboard">
+ <thead>
+ <tr>
+ <th onclick="sortTable(0)">Market</th>
+ <th onclick="sortTable(1)">Listings Count</th>
+ <th onclick="sortTable(2)">Total SF</th>
+ </tr>
+ </thead>
+ <tbody id="leaderboard-body">
+ </tbody>
+ </table>
+ <div class="bar-chart" id="bar-chart"></div>
+ <div class="source-listings" id="source-listings"></div>
+
+ <script>
+ const listings = [
+ {"title": "Office Space for Rent", "city": "New York", "state": "NY", "space_type": "office", "size_sf": 1500, "term": "1 year", "source_url": "http://example.com/ny-office"},
+ {"title": "Retail Space Available", "city": "Los Angeles", "state": "CA", "space_type": "retail", "size_sf": 2000, "term": "6 months", "source_url": "http://example.com/ca-retail"},
+ {"title": "Warehouse for Lease", "city": "Chicago", "state": "IL", "space_type": "warehouse", "size_sf": 5000, "term": "2 years", "source_url": "http://example.com/il-warehouse"},
+ {"title": "Co-working Space", "city": "San Francisco", "state": "CA", "space_type": "coworking", "size_sf": 1000, "term": "3 months", "source_url": "http://example.com/sf-coworking"},
+ {"title": "Industrial Property for Rent", "city": "Houston", "state": "TX", "space_type": "industrial", "size_sf": 7500, "term": "1 year", "source_url": "http://example.com/tx-industrial"},
+ {"title": "Office Space in Downtown", "city": "Phoenix", "state": "AZ", "space_type": "office", "size_sf": 1200, "term": "9 months", "source_url": "http://example.com/az-office"},
+ {"title": "Retail Storefront for Lease", "city": "Philadelphia", "state": "PA", "space_type": "retail", "size_sf": 800, "term": "6 months", "source_url": "http://example.com/pa-retail"},
+ {"title": "Flex Space Available", "city": "San Antonio", "state": "TX", "space_type": "flex", "size_sf": 1500, "term": "1 year", "source_url": "http://example.com/tx-flex"},
+ {"title": "Office Suite for Rent", "city": "San Diego", "state": "CA", "space_type": "office", "size_sf": 900, "term": "6 months", "source_url": "http://example.com/ca-office-suite"},
+ {"title": "Retail Space in Uptown", "city": "Dallas", "state": "TX", "space_type": "retail", "size_sf": 1800, "term": "1 year", "source_url": "http://example.com/tx-uptown-retail"},
+ {"title": "Warehouse in Logistics District", "city": "Austin", "state": "TX", "space_type": "warehouse", "size_sf": 6000, "term": "2 years", "source_url": "http://example.com/tx-logistics-warehouse"},
+ {"title": "Coworking Space in Innovation Hub", "city": "Seattle", "state": "WA", "space_type": "coworking", "size_sf": 1400, "term": "3 months", "source_url": "http://example.com/wa-coworking"},
+ {"title": "Industrial Building for Lease", "city": "Denver", "state": "CO", "space_type": "industrial", "size_sf": 8500, "term": "1 year", "source_url": "http://example.com/co-industrial"},
+ {"title": "Office Space in Financial District", "city": "Boston", "state": "MA", "space_type": "office", "size_sf": 1300, "term": "9 months", "source_url": "http://example.com/ma-office"},
+ {"title": "Retail Storefront for Rent", "city": "El Paso", "state": "TX", "space_type": "retail", "size_sf": 700, "term": "6 months", "source_url": "http://example.com/tx-el-paso-retail"},
+ {"title": "Flex Space Available in Tech Park", "city": "Nashville", "state": "TN", "space_type": "flex", "size_sf": 1200, "term": "1 year", "source_url": "http://example.com/tn-flex"},
+ {"title": "Office Suite for Lease", "city": "Detroit", "state": "MI", "space_type": "office", "size_sf": 850, "term": "6 months", "source_url": "http://example.com/mi-office-suite"},
+ {"title": "Retail Space in Downtown Area", "city": "Jacksonville", "state": "FL", "space_type": "retail", "size_sf": 1700, "term": "1 year", "source_url": "http://example.com/fl-retail"},
+ {"title": "Warehouse in Industrial Zone", "city": "Indianapolis", "state": "IN", "space_type": "warehouse", "size_sf": 5500, "term": "2 years", "source_url": "http://example.com/in-warehouse"},
+ {"title": "Coworking Space in Creative District", "city": "Columbus", "state": "OH", "space_type": "coworking", "size_sf": 1350, "term": "3 months", "source_url": "http://example.com/oh-coworking"}
+ ];
+
+ function aggregateListings(listings) {
+ const aggregated = {};
+ listings.forEach(listing => {
+ const key = `${listing.city}, ${listing.state}`;
+ if (!aggregated[key]) {
+ aggregated[key] = { count: 0, totalSF: 0 };
+ }
+ aggregated[key].count++;
+ aggregated[key].totalSF += listing.size_sf;
+ });
+ return Object.entries(aggregated).map(([market, data]) => ({ market, ...data }));
+ }
+
+ function populateLeaderboard(aggregate) {
+ const leaderboardBody = document.getElementById('leaderboard-body');
+ aggregate.forEach((item, index) => {
+ const row = leaderboardBody.insertRow();
+ row.innerHTML = `
+ <td>${item.market}</td>
+ <td>${item.count}</td>
+ <td>${item.totalSF.toLocaleString()}</td>
+ `;
+ row.onclick = () => showSourceListings(item.market);
+ });
+ }
+
+ function drawBarChart(aggregate) {
+ const barChart = document.getElementById('bar-chart');
+ aggregate.forEach((item, index) => {
+ const bar = document.createElement('div');
+ bar.className = 'bar';
+ bar.style.width = `${Math.min(100, item.count * 2)}%`; // Scale width for visualization
+ bar.title = `${item.market}: ${item.count} listings`;
+ barChart.appendChild(bar);
+ });
+ }
+
+ function showSourceListings(market) {
+ const sourceListings = document.getElementById('source-listings');
+ sourceListings.innerHTML = `<h2>Listings in ${market}</h2><table id="listings-table"><thead><tr><th>Title</th><th>Space Type</th><th>Size SF</th><th>Term</th></tr></thead><tbody></tbody></table>`;
+ const listingsTableBody = document.getElementById('listings-table').getElementsByTagName('tbody')[0];
+ listings.filter(listing => `${listing.city}, ${listing.state}` === market).forEach(listing => {
+ const row = listingsTableBody.insertRow();
+ row.innerHTML = `
+ <td>${listing.title}</td>
+ <td>${listing.space_type}</td>
+ <td>${listing.size_sf.toLocaleString()}</td>
+ <td>${listing.term}</td>
+ `;
+ });
+ }
+
+ function sortTable(columnIndex) {
+ const table = document.getElementById('leaderboard');
+ let rows, switching, i, x, y, shouldSwitch;
+ switching = true;
+ while (switching) {
+ switching = false;
+ rows = table.rows;
+ for (i = 1; i < (rows.length - 1); i++) {
+ shouldSwitch = false;
+ x = rows[i].getElementsByTagName("TD")[columnIndex];
+ y = rows[i + 1].getElementsByTagName("TD")[columnIndex];
+ if (columnIndex === 2) { // Total SF column
+ if (parseInt(x.innerHTML.replace(/,/g, '')) > parseInt(y.innerHTML.replace(/,/g, ''))) {
+ shouldSwitch = true;
+ break;
+ }
+ } else if (x.innerHTML.toLowerCase() > y.innerHTML.toLowerCase()) {
+ shouldSwitch = true;
+ break;
+ }
+ }
+ if (shouldSwitch) {
+ rows[i].parentNode.insertBefore(rows[i + 1], rows[i]);
+ switching = true;
+ }
+ }
+ }
+
+ const aggregatedListings = aggregateListings(listings);
+ populateLeaderboard(aggregatedListings);
+ drawBarChart(aggregatedListings.slice(0, 5)); // Show top 5 markets in bar chart
+ </script>
+</body>
+</html>
\ No newline at end of file
diff --git a/data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.png b/data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.png
new file mode 100644
index 0000000..14d9482
Binary files /dev/null and b/data/artifacts/5a4b7a0e832e/hf-qwen-coder-32b.png differ
diff --git a/data/challenges.json b/data/challenges.json
index 94b9189..6e79b1c 100644
--- a/data/challenges.json
+++ b/data/challenges.json
@@ -11162,7 +11162,14 @@
"finished_at": "2026-07-23T19:44:24.146Z",
"queued_at": "2026-07-23T19:38:39.964Z",
"bytes": 8531,
- "thumb": true
+ "thumb": true,
+ "aiScore": 6.5,
+ "aiReason": "The dashboard includes the US Treasury yield curve and credit spreads but lacks top REIT performance data and market fundamentals. The visual quality is good with a dark aesthetic.",
+ "aiScores": {
+ "qwen2.5vl:7b": 7,
+ "minicpm-v:latest": 6
+ },
+ "aiSpread": 1
},
{
"model": "claude-code",
@@ -11174,11 +11181,19 @@
"finished_at": "2026-07-23T19:41:12.065Z",
"queued_at": "2026-07-23T19:38:39.968Z",
"bytes": 29375,
- "thumb": true
+ "thumb": true,
+ "aiScore": 8.3,
+ "aiReason": "The dashboard is visually appealing and fulfills all requirements with clear data visualization and a dark aesthetic.",
+ "aiScores": {
+ "qwen2.5vl:7b": 9,
+ "minicpm-v:latest": 7.5
+ },
+ "aiSpread": 1.5
}
],
- "judging": true,
- "judged_at": null
+ "judging": false,
+ "judged_at": "2026-07-23T19:54:38.543Z",
+ "aiPick": "claude-code"
},
{
"id": "5a4b7a0e832e",
@@ -11199,27 +11214,52 @@
"finished_at": "2026-07-23T19:49:20.097Z",
"queued_at": "2026-07-23T19:47:11.597Z",
"bytes": 7802,
- "thumb": true
+ "thumb": true,
+ "aiScore": 7,
+ "aiReason": "The leaderboard is clear and organized but lacks interactivity and visual appeal.",
+ "aiScores": {
+ "qwen2.5vl:7b": 7,
+ "minicpm-v:latest": 7
+ },
+ "aiSpread": 0
},
{
"model": "gemma3-12b",
- "status": "running",
+ "status": "done",
"error": null,
- "seconds": null,
- "cost": null,
+ "seconds": 165,
+ "cost": 0,
"started_at": "2026-07-23T19:49:20.103Z",
- "finished_at": null,
- "queued_at": "2026-07-23T19:47:11.735Z"
+ "finished_at": "2026-07-23T19:52:04.995Z",
+ "queued_at": "2026-07-23T19:47:11.735Z",
+ "bytes": 10084,
+ "thumb": true,
+ "aiScore": 6.5,
+ "aiReason": "The leaderboard is functional but lacks the bar chart and click-to-filter features required by the challenge.",
+ "aiScores": {
+ "qwen2.5vl:7b": 7,
+ "minicpm-v:latest": 6
+ },
+ "aiSpread": 1
},
{
"model": "hermes3-8b",
- "status": "queued",
+ "status": "done",
"error": null,
- "seconds": null,
- "cost": null,
- "started_at": null,
- "finished_at": null,
- "queued_at": "2026-07-23T19:47:11.763Z"
+ "seconds": 10,
+ "cost": 0,
+ "started_at": "2026-07-23T19:52:05.000Z",
+ "finished_at": "2026-07-23T19:52:14.970Z",
+ "queued_at": "2026-07-23T19:47:11.763Z",
+ "bytes": 3647,
+ "thumb": true,
+ "aiScore": 5,
+ "aiReason": "The leaderboard is missing the required data and visual elements to fulfill the challenge.",
+ "aiScores": {
+ "qwen2.5vl:7b": 4,
+ "minicpm-v:latest": 6
+ },
+ "aiSpread": 2
},
{
"model": "qwen25-7b",
@@ -11231,17 +11271,33 @@
"finished_at": "2026-07-23T19:48:01.973Z",
"queued_at": "2026-07-23T19:47:11.771Z",
"bytes": 7350,
- "thumb": true
+ "thumb": true,
+ "aiScore": 6.8,
+ "aiReason": "The leaderboard is clear and well-organized but lacks the bar chart and click-to-filter functionality required by the challenge.",
+ "aiScores": {
+ "qwen2.5vl:7b": 7,
+ "minicpm-v:latest": 6.5
+ },
+ "aiSpread": 0.5
},
{
"model": "hf-qwen-coder-32b",
- "status": "queued",
+ "status": "done",
"error": null,
- "seconds": null,
- "cost": null,
- "started_at": null,
- "finished_at": null,
- "queued_at": "2026-07-23T19:47:11.773Z"
+ "seconds": 113,
+ "cost": 0,
+ "started_at": "2026-07-23T19:52:14.978Z",
+ "finished_at": "2026-07-23T19:54:08.158Z",
+ "queued_at": "2026-07-23T19:47:11.773Z",
+ "bytes": 9349,
+ "thumb": true,
+ "aiScore": 7,
+ "aiReason": "The leaderboard is clear and organized but lacks the bar chart and click-to-filter functionality required by the challenge.",
+ "aiScores": {
+ "qwen2.5vl:7b": 7,
+ "minicpm-v:latest": 7
+ },
+ "aiSpread": 0
},
{
"model": "claude-code",
@@ -11254,6 +11310,9 @@
"queued_at": "2026-07-23T19:47:11.775Z",
"bytes": 21193
}
- ]
+ ],
+ "judging": false,
+ "aiPick": "qwen3-14b",
+ "judged_at": "2026-07-23T19:54:52.473Z"
}
]
\ No newline at end of file
← dad3461 auto-save: 2026-07-23T12:51:13 (9 files) — data/challenges.j
·
back to Model Arena
·
auto-save: 2026-07-23T15:52:21 (4 files) — data/landings/480 6849101 →