Spaces:
Runtime error
Runtime error
File size: 9,991 Bytes
3bbba47 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 |
// Description: Script for the evaluation webpage.
let currentQuestionIndex = 1;
// Store the model name mapping for later use.
modelNameMapping = {
"gpt35": "ChatGPT-3.5",
"gpt4": "GPT-4",
"alpaca": "Alpaca-13b",
"vicuna": "Vicuna-13b",
"llama": "LLaMA-13b",
"bard": "Bard",
};
modelFigureMapping = {
"vicuna": "figures/vicuna.jpeg",
// Image from: https://commons.wikimedia.org/wiki/File:ChatGPT_logo.svg
"gpt35": "figures/chatgpt.svg",
// Image from: https://www.reddit.com/r/logodesign/comments/1128aat/google_ai_bard_logo_design/
"bard": "figures/bard.jpg",
// Image from: https://crfm.stanford.edu/2023/03/13/alpaca.html
"alpaca": "figures/alpaca.png",
// Image adapted from https://commons.wikimedia.org/wiki/File:Llama_on_Machu_Picchu.jpg
"llama": "figures/llama.jpg",
}
// Store the question data in a mapping for later use.
questionMapping = {};
// Store the question ids in a mapping for later use.
categoryMapping = {};
// Store the number of questions for later use.
questionsCount = 0;
function text2Markdown(text) {
// Normalize the text for markdown rendering.
text = text.trim().replaceAll('\n\n', '\n').replaceAll('\n', '\n\n');
return marked.parse(text);
}
function capitalizeFirstChar(str) {
if (!str || str.length === 0) {
return str;
}
return str.charAt(0).toUpperCase() + str.slice(1);
}
function updateQuestionSelect(question_id) {
const select = document.getElementById('question-select');
// Clear the question select.
select.innerHTML = '';
// Populate the question select.
category = questionMapping[question_id].category;
categoryMapping[category].forEach(question_id => {
const question = questionMapping[question_id];
const option = document.createElement('option');
option.value = question_id;
option.textContent = 'Q' + question_id.toString() + ': ' + question.question;
select.appendChild(option);
});
select.value = question_id;
}
function updateModelSelect() {
const select = document.getElementById('model-select');
img_path = modelFigureMapping[select.value];
document.getElementById('other-model-figure').src = img_path;
}
function populateModels(models) {
const select = document.getElementById('model-select');
models.forEach(model => {
const option = document.createElement('option');
option.value = model;
option.textContent = modelNameMapping[model];
select.appendChild(option);
});
updateModelSelect();
}
function populateQuestions(questions) {
const category_select = document.getElementById('category-select');
questionsCount = questions.length;
questions.forEach(question => {
const option = document.createElement('option');
// Store the question data in a mapping for later use.
questionMapping[question.id] = {
category: question.category,
question: question.question,
answers: question.answers,
evaluations: question.evaluations,
scores: question.scores,
};
// Store the question id in the category mapping.
if (question.category in categoryMapping) {
categoryMapping[question.category].push(question.id);
} else {
categoryMapping[question.category] = [question.id];
const category_option = document.createElement('option');
category_option.value = question.category;
category_option.textContent = capitalizeFirstChar(question.category);
category_select.appendChild(category_option);
}
});
// Set the default category.
updateQuestionSelect(currentQuestionIndex);
}
function displayQuestion(index) {
const question = questionMapping[index].question;
document.getElementById('selected-question').innerHTML = text2Markdown('**Question:** ' + question);
displayAnswers(index);
}
function displayAnswers(index) {
const question = questionMapping[index];
const otherModel = document.getElementById('model-select').value;
// render the answers with markdown
document.getElementById('other-model-answer').innerHTML = text2Markdown(question.answers[otherModel]);
document.getElementById('our-model-answer').innerHTML = text2Markdown(question.answers.vicuna);
// Display evaluation
score = question.scores[otherModel];
score_text = modelNameMapping[otherModel] + " " + score[0] + "/10, Vicuna-13b " + score[1] + "/10";
document.getElementById('evaluation-header').textContent = "GPT-4 Evaluation" + " (Score: " + score_text + ")";
document.getElementById('evaluation-result').innerHTML = text2Markdown(question.evaluations[otherModel]);
// Update model names
let assistant1_title = "Assistant #1"; // (" + modelNameMapping[otherModel] + ")";
let assistant2_title = "Assistant #2 (Vicuna-13b, our model)";
// Update scores/labels.
let assistant1_score_label = score[0].toString() + '/10';
let assistant2_score_label = score[1].toString() + '/10';
const colorRed ='#fa9'; // '#eb978d';
// const colorGreen = '#c9f2c9';
const colorBlue = '#8ef'; // '#71dbf9';
const colorYellow = '#fe7'; // '#fada57';
let otherModelHeaderColor = '';
let ourModelHeaderColor = '';
// Update the winner.
if (score[0] == score[1]) {
assistant1_title = 'π ' + assistant1_title;
assistant1_score_label = 'π ' + assistant1_score_label;
assistant2_title = 'π ' + assistant2_title;
assistant2_score_label = 'π ' + assistant2_score_label;
otherModelHeaderColor = colorYellow;
ourModelHeaderColor = colorYellow;
} else if (score[0] > score[1]) {
assistant1_title = 'π ' + assistant1_title;
assistant1_score_label = 'π ' + assistant1_score_label;
otherModelHeaderColor = colorBlue;
ourModelHeaderColor = colorRed;
} else if (score[0] < score[1]) {
assistant2_title = 'π ' + assistant2_title;
assistant2_score_label = 'π ' + assistant2_score_label;
otherModelHeaderColor = colorRed;
ourModelHeaderColor = colorBlue;
}
document.getElementById('other-model-header-bg').style.backgroundColor = otherModelHeaderColor;
document.getElementById('our-model-header').style.backgroundColor = ourModelHeaderColor;
document.getElementById('other-model-header').textContent = assistant1_title;
document.getElementById('our-model-header').textContent = assistant2_title;
document.getElementById('other-score-label').textContent = assistant1_score_label;
document.getElementById('our-score-label').textContent = assistant2_score_label;
// Update expand buttons visibility for both cards after displaying answers
// Reset the expanded state and update expand buttons visibility for both cards after displaying answers
document.querySelectorAll('.expandable-card').forEach(card => {
card.classList.remove('expanded');
updateExpandButtonVisibility(card);
const expandBtn = card.querySelector('.expand-btn');
expandBtn.innerHTML = '<i class="material-icons" style="pointer-events: none">keyboard_arrow_down</i> Show more'; // .textContent = 'Show more';
});
}
document.getElementById('question-select').addEventListener('change', e => {
currentQuestionIndex = parseInt(e.target.value);
displayQuestion(currentQuestionIndex);
});
document.getElementById('category-select').addEventListener('change', e => {
let currentCategory = e.target.value;
const questionIds = categoryMapping[currentCategory];
currentQuestionIndex = questionIds[0];
updateQuestionSelect(currentQuestionIndex);
displayQuestion(currentQuestionIndex);
});
// Update expand buttons whenever the model is changed
document.getElementById('model-select').addEventListener('change', () => {
displayAnswers(currentQuestionIndex);
document.querySelectorAll('.expandable-card').forEach(card => {
updateExpandButtonVisibility(card);
});
updateModelSelect();
});
function switchQuestionAndCategory() {
document.getElementById('question-select').value = currentQuestionIndex;
old_category = document.getElementById('category-select').value;
new_category = questionMapping[currentQuestionIndex].category;
if (old_category != new_category) {
document.getElementById('category-select').value = new_category;
updateQuestionSelect(currentQuestionIndex);
}
displayQuestion(currentQuestionIndex);
}
document.getElementById('prev-question').addEventListener('click', () => {
// Question index starts from 1.
currentQuestionIndex = Math.max(1, currentQuestionIndex - 1);
switchQuestionAndCategory();
});
document.getElementById('next-question').addEventListener('click', () => {
// Question index starts from 1.
currentQuestionIndex = Math.min(questionsCount, currentQuestionIndex + 1);
switchQuestionAndCategory();
});
function updateExpandButtonVisibility(card) {
const cardTextContainer = card.querySelector('.card-text-container');
const expandBtn = card.querySelector('.expand-btn');
if (cardTextContainer.scrollHeight > cardTextContainer.offsetHeight) {
expandBtn.style.display = 'flex';
} else {
expandBtn.style.display = 'none';
card.classList.add('expanded');
}
}
document.querySelectorAll('.expand-btn').forEach(btn => {
btn.addEventListener('click', e => {
const card = e.target.closest('.expandable-card');
card.classList.toggle('expanded');
const more = '<i class="material-icons" style="pointer-events: none">keyboard_arrow_down</i> Show more';
const less = '<i class="material-icons" style="pointer-events: none">keyboard_arrow_up</i> Show less';
e.target.innerHTML = card.classList.contains('expanded') ? less : more;
});
});
|