Mynew_Game / index.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>Vectorizing Words Jeopardy</title>
<style>
:root{
--blue:#0a49a6;
--blue-dark:#073a84;
--gold:#ffd24a;
--board-gap:10px;
--card-depth:28px;
}
*{box-sizing:border-box}
body{
font-family: system-ui, Arial, sans-serif;
display:flex;flex-direction:column;align-items:center;
background: radial-gradient(1200px 700px at 50% -200px, #f2f6ff 0%, #e9efff 30%, #cfdafc 100%) fixed;
margin:0; min-height:100vh;
}
h1{ color:#173e8c; margin:22px 0 6px; text-shadow:0 2px 0 #fff;}
a.source{ font-size:14px; color:#334; margin-bottom:8px; text-decoration:none}
a.source:hover{ text-decoration:underline }
.topbar {
width:min(1100px,95vw);
display:flex;
justify-content:space-between;
align-items:center;
gap:10px;
margin-bottom:8px;
}
.btn-reset{
padding:8px 12px; border-radius:10px; font-weight:800; cursor:pointer;
border:2px solid #0d3a85; color:#fff; background:linear-gradient(180deg,#1362ff,#0d3a85);
box-shadow:0 8px 18px rgba(0,0,0,.25);
}
.btn-reset:hover{ transform: translateY(-1px) }
.btn-reset:active{ transform: translateY(0) }
/* Stage / Board */
.stage{ perspective: 1200px; width:min(1100px, 95vw); }
#game-board{
display:grid;
grid-template-columns: repeat(5, 1fr);
grid-auto-rows: 120px;
gap: var(--board-gap);
padding: var(--board-gap);
border-radius:18px;
background: linear-gradient(180deg, #0e1a3a, #01060f);
box-shadow:
0 20px 45px rgba(0,0,0,.35),
inset 0 0 0 4px #000;
transform: rotateX(8deg);
transform-origin: top center;
}
.category, .card{
position:relative;
border-radius:14px;
user-select:none;
transform-style: preserve-3d;
transition: transform .2s ease, box-shadow .2s ease, filter .2s ease;
box-shadow:
0 var(--card-depth) calc(var(--card-depth) + 12px) rgba(0,0,0,.35),
inset 0 0 0 1px rgba(255,255,255,.15);
}
.category{
background: linear-gradient(180deg, #004fbf 0%, #003d93 60%, #003684 100%);
color:#fff; font-weight:800; text-transform:uppercase; letter-spacing:.3px;
display:flex; justify-content:center; align-items:center; text-align:center;
border:1px solid #00122c;
text-shadow:0 2px 0 rgba(0,0,0,.35);
}
.card{
cursor:pointer; font-weight:900; color: var(--gold);
background:
radial-gradient(80% 80% at 50% 25%, rgba(255,255,255,.18), rgba(255,255,255,0) 60%),
linear-gradient(180deg, var(--blue) 0%, var(--blue-dark) 100%);
border:1px solid #031b3f;
display:flex; justify-content:center; align-items:center; text-align:center;
font-size: clamp(16px, 2.4vw, 26px);
text-shadow: 0 2px 0 #000, 0 0 10px rgba(255,210,74,.35);
}
.card.tilt:hover{
transform: translateZ(10px) rotateX(var(--rx,0deg)) rotateY(var(--ry,0deg));
box-shadow:
0 24px 48px rgba(0,0,0,.4),
0 0 24px rgba(255,210,74,.15),
inset 0 0 0 1px rgba(255,255,255,.18);
filter: saturate(1.1);
}
.card:active{ transform: translateZ(0) scale(.985); box-shadow: 0 12px 18px rgba(0,0,0,.45), inset 0 0 0 1px rgba(255,255,255,.12); }
.card.disabled{ cursor:default; color:#bfc7da; background: linear-gradient(180deg,#6b7aa6,#4e5b85); text-shadow:none; filter:grayscale(.2) brightness(.92); }
#question-display{ width:min(1000px, 92vw); text-align:center; margin:16px 0 6px; }
#question-display h2{ margin:8px 0 6px; color:#0d2b6f }
#question-display p { font-size: 22px; line-height: 1.4; }
#score{ font-size:24px; font-weight:800; color:#0d2b6f; margin:0 0 8px 0 }
.answer-container{ display:flex; justify-content:center; flex-wrap:wrap; gap:10px; margin-top:14px }
.answer-btn{
margin:0; padding:10px 16px; font-size:18px; cursor:pointer;
border:2px solid #0d3a85; border-radius:10px; font-weight:800; color:#fff;
background: linear-gradient(180deg,#1362ff,#0d3a85);
box-shadow: 0 8px 18px rgba(0,0,0,.25);
transition: transform .12s ease, box-shadow .12s ease, filter .12s ease;
}
.answer-btn:hover{ transform: translateY(-2px); box-shadow:0 12px 26px rgba(0,0,0,.28) }
.answer-btn:active{ transform: translateY(0); box-shadow:0 8px 18px rgba(0,0,0,.25) }
.answer-btn.disabled{ background:#aab4cc; color:#445; cursor:not-allowed; border-color:#889 }
.feedback{ margin-top:10px; font-size:18px; font-weight:800 }
.dd-overlay{
position: fixed; inset:0; display:none; align-items:center; justify-content:center;
z-index: 9999; pointer-events:none;
background: radial-gradient(60% 60% at 50% 50%, rgba(255,255,255,.08), rgba(0,0,0,.7));
animation: dd-bg 1.2s ease-in-out 2;
}
.dd-text{
font-size: clamp(40px, 7vw, 120px);
font-weight: 900; color:#ffe17a; letter-spacing:2px;
text-shadow:
0 0 12px rgba(255,225,122,.9),
0 0 40px rgba(255,225,122,.6),
0 6px 0 #000;
animation: flash 1.2s steps(2, jump-none) 2, wobble .9s ease-in-out 2;
}
@keyframes flash{ 0%,49%{opacity:1;filter:drop-shadow(0 0 24px rgba(255,225,122,.85));} 50%,100%{opacity:0;filter:none;} }
@keyframes wobble{ 0%{transform:scale(1) rotate(0)} 50%{transform:scale(1.06) rotate(-2deg)} 100%{transform:scale(1) rotate(0)} }
@keyframes dd-bg{ 0%{background: radial-gradient(40% 40% at 50% 50%, rgba(255,255,255,.12), rgba(0,0,0,.9));} 100%{background: radial-gradient(60% 60% at 50% 50%, rgba(255,255,255,.08), rgba(0,0,0,.7));} }
.flash-ring{ position:absolute; inset:-3px; border-radius:14px; pointer-events:none; box-shadow:0 0 0 3px rgba(255,225,122,.95), 0 0 30px 6px rgba(255,225,122,.6); animation: ring 1.2s ease-in-out 2; }
@keyframes ring{ 0%{opacity:1;transform:scale(1)} 50%{opacity:.1;transform:scale(.96)} 100%{opacity:1;transform:scale(1)} }
.daily-double-banner{ color:#b30000; font-weight:900; font-size:22px; margin:8px 0 }
/* Review */
#review{
width:min(1000px, 92vw);
margin:14px 0 24px 0;
padding:12px;
background:#fff;
border:1px solid #ccd3e0;
border-radius:12px;
box-shadow:0 6px 20px rgba(0,0,0,.08);
}
#review h3{ margin:0 0 8px 0; color:#0d2b6f }
.missed{ margin:8px 0; text-align:left }
.missed .q{ font-weight:700 }
.missed .a{ margin-left:8px }
</style>
</head>
<body>
<h1>Vectorizing Words Jeopardy</h1>
<a class="source" href="https://www.linkedin.com/pulse/turning-text-numbers-word2vec-glove-fasttext-michael-lively-vtwde/" target="_blank">
Source: Turning Text Into Numbers β€” Word2Vec, GloVe, FastText
</a>
<div class="topbar">
<div id="score">Score: 0</div>
<button class="btn-reset" id="reset-btn" title="Start a fresh round">Reset Game</button>
</div>
<div class="stage">
<div id="game-board">
<div class="category">Embedding Basics</div>
<div class="category">Word2Vec: CBOW & Skip-gram</div>
<div class="category">GloVe & Global Stats</div>
<div class="category">FastText & Subwords</div>
<div class="category">Training & Tools</div>
<!-- cards will be injected -->
</div>
</div>
<div id="question-display"></div>
<div id="review" style="display:none;"></div>
<audio id="dd-audio" preload="auto">
<source src="daily-double.mp3" type="audio/mpeg">
</audio>
<div id="dd-overlay" class="dd-overlay"><div class="dd-text">DAILY&nbsp;DOUBLE!</div></div>
<script>
const categories = [
"Embedding Basics",
"Word2Vec: CBOW & Skip-gram",
"GloVe & Global Stats",
"FastText & Subwords",
"Training & Tools"
];
// βœ… Corrected answer keys included
const questions = [
// Embedding Basics
[
{ q: "Compared to Bag of Words/TF-IDF, word embeddings primarily:", a: ["Capture meaning via context, not just frequency", "Apply hand-written linguistic rules", "Ignore context entirely"], correct: 0 },
{ q: "Which metric measures similarity by the angle between vectors?", a: ["Euclidean distance", "Cosine similarity", "Jaccard index"], correct: 1 },
{ q: "A common way to visualize high-dimensional embeddings in 2D is:", a: ["Gradient Descent", "Backpropagation", "PCA or t-SNE"], correct: 2 }
],
// Word2Vec: CBOW & Skip-gram
[
{ q: "CBOW’s training objective is to:", a: ["Predict the target word from surrounding context words", "Predict the context from the target word", "Factorize the co-occurrence matrix"], correct: 0 },
{ q: "Skip-gram’s training objective is to:", a: ["Count word frequencies", "Predict surrounding context words from a target word", "Remove stopwords before training"], correct: 1 },
{ q: "Which techniques speed up Word2Vec training?", a: ["Bag-of-Words and TF-IDF", "Count vectors and hashing", "Negative sampling and/or hierarchical softmax"], correct: 2 }
],
// GloVe & Global Stats
[
{ q: "GloVe learns embeddings mainly by:", a: ["Matrix factorization of a word co-occurrence matrix", "Predicting characters from bytes", "Labeling sentences with topics"], correct: 0 },
{ q: "In GloVe, a weighting function is used to:", a: ["Increase the window size automatically", "Balance frequent and rare words so common terms don't dominate", "Normalize vectors to unit length"], correct: 1 },
{ q: "Compared with Word2Vec, GloVe is especially strong at capturing:", a: ["Local syntactic patterns only", "Character-level morphology", "Global relationships across the entire corpus"], correct: 2 }
],
// FastText & Subwords
[
{ q: "FastText represents a word as:", a: ["A single one-hot vector", "Character n-grams (subword units) combined", "Only its stem or lemma"], correct: 1 }, // fixed
{ q: "A key advantage of FastText over Word2Vec is that it:", a: ["Requires no training data", "Handles out-of-vocabulary words via subwords", "Eliminates the need for context windows"], correct: 1 },
{ q: "FastText training generally uses the same framework as Word2Vec:", a: ["No, it uses topic modeling only", "Partly, but only with CBOW", "Yes, CBOW and/or Skip-gram with subwords"], correct: 2 }
],
// Training & Tools
[
{ q: "Embedding quality generally improves with:", a: ["Smaller, single-topic corpora", "Random word shuffling", "Larger and more diverse corpora and well-chosen window sizes"], correct: 2 }, // fixed
{ q: "Which library is optimized for production-grade NLP with pretrained vectors?", a: ["NLTK", "spaCy", "A spreadsheet"], correct: 1 },
{ q: "Which statement about classic embeddings is most accurate?", a: ["They are rule-based representations", "They fully model document-level structure like Transformers", "They learn from context but don’t capture full sequence structure; Transformers handle that"], correct: 2 }
]
];
let score = 0, answered = 0;
const total = 15;
const board = document.getElementById("game-board"),
qdisp = document.getElementById("question-display"),
sdisp = document.getElementById("score"),
review = document.getElementById("review");
const ddOverlay = document.getElementById("dd-overlay");
const ddAudio = document.getElementById("dd-audio");
// Track where the correct answer ended up after shuffling, per "c-r" key
const shuffleRegistry = new Map();
const missedQuestions = [];
const dailyDouble = { col: Math.floor(Math.random() * 5), row: Math.floor(Math.random() * 3) };
document.getElementById('reset-btn').addEventListener('click', () => {
// simple reset: reload page to fresh state
location.reload();
});
function createBoard() {
// inject 15 cards (3 rows x 5 columns)
for (let row = 0; row < 3; row++) {
for (let col = 0; col < 5; col++) {
const card = document.createElement("div");
card.className = "card tilt";
card.textContent = `$${(row + 1) * 100}`;
card.dataset.col = col;
card.dataset.row = row;
// tilt effect
card.addEventListener("mousemove", (e) => {
const r = card.getBoundingClientRect();
const x = (e.clientX - r.left) / r.width;
const y = (e.clientY - r.top) / r.height;
const ry = (x - 0.5) * 10;
const rx = (0.5 - y) * 10;
card.style.setProperty("--ry", `${ry}deg`);
card.style.setProperty("--rx", `${rx}deg`);
});
card.addEventListener("mouseleave", () => {
card.style.removeProperty("--ry");
card.style.removeProperty("--rx");
});
card.onclick = () => handleCardClick(card);
board.appendChild(card);
}
}
}
function handleCardClick(card){
if (card.classList.contains("disabled")) return;
const col = +card.dataset.col;
const row = +card.dataset.row;
const isDD = (col === dailyDouble.col && row === dailyDouble.row);
if (isDD){
triggerDailyDouble(card, () => showQuestion(col, row, card, true));
} else {
showQuestion(col, row, card, false);
}
}
function triggerDailyDouble(card, onDone){
const ring = document.createElement("div");
ring.className = "flash-ring";
card.appendChild(ring);
ddAudio.currentTime = 0;
ddAudio.play().catch(()=>{});
ddOverlay.style.display = "flex";
setTimeout(() => {
ddOverlay.style.display = "none";
ring.remove();
onDone();
}, 2400);
}
function showQuestion(categoryIndex, difficulty, card, isDailyDouble){
const q = questions[categoryIndex][difficulty];
// Build shuffled options and record where the correct one ended up
const options = q.a.map((text, origIdx) => ({ text, origIdx }));
for (let i = options.length - 1; i > 0; i--) {
const j = Math.floor(Math.random() * (i + 1));
[options[i], options[j]] = [options[j], options[i]];
}
const shuffledCorrectIndex = options.findIndex(o => o.origIdx === q.correct);
const key = `${categoryIndex}-${difficulty}`;
shuffleRegistry.set(key, { shuffledCorrectIndex, isDailyDouble });
const dailyDoubleBanner = isDailyDouble ? `<div class="daily-double-banner">πŸŽ‰ DAILY DOUBLE! πŸŽ‰</div>` : "";
qdisp.innerHTML = `
${dailyDoubleBanner}
<h2>${categories[categoryIndex]} for $${(difficulty + 1) * 100}${isDailyDouble ? " (x2)" : ""}</h2>
<p>${q.q}</p>
<div class="answer-container">
${options.map((opt, i) =>
`<button class="answer-btn" data-ans="${i}" data-key="${key}">${opt.text}</button>`
).join("")}
</div>
`;
// disable the card so it can't be opened again
card.classList.add("disabled");
// attach click handlers to answers (no inline booleans)
document.querySelectorAll('.answer-btn').forEach(btn => {
btn.addEventListener('click', () => {
if (btn.classList.contains('disabled')) return;
const chosenIndex = parseInt(btn.getAttribute('data-ans'), 10);
const k = btn.getAttribute('data-key');
checkAnswer(categoryIndex, difficulty, chosenIndex, k);
}, { once: true });
});
}
function checkAnswer(cat, diff, chosenShuffledIndex, key){
const q = questions[cat][diff];
const reg = shuffleRegistry.get(key);
const isCorrect = (chosenShuffledIndex === reg.shuffledCorrectIndex);
let val = (diff + 1) * 100;
if (reg.isDailyDouble) val *= 2;
// lock buttons (prevent multiple scoring)
document.querySelectorAll(".answer-btn").forEach(b => {
b.disabled = true; b.classList.add("disabled");
});
if (isCorrect) {
score += val;
qdisp.innerHTML += `<p class="feedback" style="color:green;">βœ… Correct! +$${val.toLocaleString()}</p>`;
} else {
score -= val;
const correctText = q.a[q.correct];
const chosenText = q.a[
// translate shuffled index back to original by comparing text (safe here; could also carry mapping)
q.a.findIndex((orig, idx) => {
// find the text for chosenShuffledIndex by looking up the rendered button text
// simpler: we recorded only shuffled index; to show user's text, just read from DOM:
return false; // placeholder, we'll get from DOM below
})
];
// Grab the chosen text from the DOM directly
const chosenBtn = document.querySelector(`.answer-btn[data-ans="${chosenShuffledIndex}"][data-key="${key}"]`);
const chosenPretty = chosenBtn ? chosenBtn.textContent : "(your choice)";
qdisp.innerHTML += `<p class="feedback" style="color:#b00020;">❌ Wrong! βˆ’$${val.toLocaleString()}<br/>Correct answer: <em>${correctText}</em></p>`;
// record for review
missedQuestions.push({
category: categories[cat],
value: `$${(diff+1)*100}${reg.isDailyDouble ? " (x2)" : ""}`,
question: q.q,
yourAnswer: chosenPretty,
correctAnswer: correctText
});
}
sdisp.textContent = `Score: ${score}`;
answered++; // increment only after answering
if (answered === total) {
endGame();
}
}
function endGame(){
qdisp.innerHTML += `<h2 style="margin-top:12px">Game Over!</h2><p>Your final score: $${score.toLocaleString()}</p>`;
if (missedQuestions.length){
const items = missedQuestions.map(m =>
`<div class="missed">
<div class="q">(${m.category} β€’ ${m.value}) ${m.question}</div>
<div class="a">Your answer: <em>${m.yourAnswer}</em></div>
<div class="a">Correct: <strong>${m.correctAnswer}</strong></div>
</div>`
).join("");
review.style.display = "block";
review.innerHTML = `<h3>Review: Questions to Revisit (${missedQuestions.length})</h3>${items}`;
} else {
review.style.display = "block";
review.innerHTML = `<h3>Perfect Round!</h3><p>You answered all questions correctly πŸŽ‰</p>`;
}
}
// Build the board
createBoard();
</script>
</body>
</html>