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script.js
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const leaderboardDataEqbench = `model,score,params
random-baseline,0.00,
internlm/internlm2-chat-7b,62.61,7
NousResearch/Nous-Hermes-2-Yi-34B,72.68,34
Yhyu13/LMCocktail-10.7B-v1,73.67,10.7
01-ai/Yi-34B-Chat,71.62,34
Open-Orca/Mistral-7B-OpenOrca,66.55,7
fblgit/una-cybertron-7b-v2-bf16,62.83,7
Intel/neural-chat-7b-v3-1,64.77,7
Toten5/Marcoroni-neural-chat-7B-v2,68.54,7
huggingfaceh4/zephyr-7b-beta,58.33,7
madatnlp/marcoroni-7b-v3-safetensor,71.68,7
mistralai/mistral-7b-instruct-v0.1,52.15,7
Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct,73.56,10.7
huggingfaceh4/zephyr-7b-alpha,56.82,7
meta-llama/Llama-2-13b-chat-hf,49.12,13
zyh3826/GML-Mistral-merged-v1,74.01,7
upstage/SOLAR-10.7B-Instruct-v1.0,73.53,10.7
cognitivecomputations/dolphin-2_2-yi-34b,75.52,34
cognitivecomputations/dolphin-2.2-70b,79.6,70
gpt-4-0314,85.73,
gpt-4-0613,84.79,
gpt-4-1106-preview,86.05,
TheBloke/koala-7B-HF,21.54,7
meta-llama/Llama-2-70b-chat-hf,73.59,70
lmsys/vicuna-7b-v1.1,26.12,7
NousResearch/Nous-Capybara-7B-V1,34.37,7
mistral-medium,82.57,
meta-llama/Llama-2-7b-chat-hf,36.32,7
gemini-pro,75.08,
migtissera/SynthIA-70B-v1.5,73.71,70
openchat/openchat-3.5-1210,72.52,7
openchat/openchat_3.5,72.18,7
mlabonne/Beagle14-7B,74.45,7
mlabonne/NeuralMarcoro14-7B,74.15,7
YeungNLP/firefly-mixtral-8x7b,64.36,8x7
mlabonne/NeuralHermes-2.5-Mistral-7B,65.86,7
cloudyu/Mixtral_34Bx2_MoE_60B,72.69,34x2
mistralai/Mixtral-8x7B-Instruct-v0.1,72.37,8x7
mistralai/Mistral-7B-Instruct-v0.2,68.18,7
lxuechen/phi-2-dpo,54.42,2.7
rhysjones/phi-2-orange,56.94,2.7
mlabonne/phixtral-2x2_8,54.58,2x2.7
microsoft/phi-2,27.6,2.7
mlabonne/Beyonder-4x7B-v2,69.23,4x7
gpt-3.5-turbo-1106,71.74,
gpt-3.5-turbo-0613,69.35,
gpt-3.5-turbo-0301,70.67,
rishiraj/meow,73.94,10.7
alpindale/goliath-120b,76.09,120
migtissera/Tess-XL-v1.0,78.46,120
mlabonne/NeuralBeagle14-7B,74.79,7
NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT,72.91,8x7
vince62s/phi-2-psy,56.44,2.7
stabilityai/stablelm-2-zephyr-1_6b,15.04,1.6
cognitivecomputations/MegaDolphin-120b,80.21,120
OrionStarAI/Orion-14B-Chat,59.71,14
cognitivecomputations/laserxtral,71.96,4x7
macadeliccc/SOLAR-10.7b-Instruct-dpo,73.21,10.7
tiiuae/falcon-180B-chat,56.82,180
Qwen/Qwen-1_8B-Chat,30,1.8
Qwen/Qwen-14B-Chat,63.47,14
Qwen/Qwen-7B-Chat,50.11,7
01-ai/Yi-6B-Chat,61.79,6
miqudev/miqu-1-70b,82.91,70
DiscoResearch/DiscoLM-120b,78.48,120
Qwen/Qwen-72B-Chat,80.7,72
WizardLM/WizardLM-70B-V1.0,71.28,70
lmsys/vicuna-13b-v1.5,67.39,13
allenai/tulu-2-dpo-70b,76.63,70
WizardLM/WizardLM-13B-V1.2,63.71,13
cognitivecomputations/dolphin-2.2.1-mistral-7b,69.92,7
timdettmers/guanaco-33b-merged,36.11,33
teknium/OpenHermes-2.5-Mistral-7B,66.89,7
berkeley-nest/Starling-LM-7B-alpha,73.9,7
lmsys/vicuna-33b-v1.3,67.07,33
serpdotai/sparsetral-16x7B-v2,59.9,9
Qwen/Qwen1.5-14B-Chat,74.99,14
Qwen/Qwen1.5-4B-Chat,28.75,4
Qwen/Qwen1.5-1.8B-Chat,24.12,1.8
Qwen/Qwen1.5-72B-Chat,82.81,72
Qwen/Qwen1.5-7B-Chat,54.41,7
vilm/Quyen-Pro-Max-v0.1,77.16,72
ShinojiResearch/Senku-70B-Full,84.89,70
claude-instant-1.2,69.04,
claude-2.1,73.96,
claude-1,76.83,
claude-2.0,72.89,
pplx-70b-online,62.79,70
pplx-7b-online,48.91,7
snorkelai/Snorkel-Mistral-PairRM-DPO,65.83,7
alpindale/miquella-120b,82.15,120
wolfram/miquliz-120b-v2.0,82.21,120
migtissera/Tess-72B-v1.5b,81.78,72
vilm/Quyen-Pro-v0.1,70.75,14
mlabonne/Monarch-7B,75.8,7
mlabonne/NeuralMonarch-7B,76.26,7
mlabonne/AlphaMonarch-7B,76.08,7
gpt-3.5-turbo-0125,64.97,
gpt-4-0125-preview,83.87,
google/gemma-7b-it,61.72,7
google/gemma-2b-it,23.26,2
senseable/WestLake-7B-v2,78.7,7
abacusai/Smaug-72B-v0.1,79.75,72
abacusai/TheProfessor-155b,78.82,155
mistral-small-2402,80.36,
mistral-large-2402,85.17,
yam-peleg/Experiment26-7B,77.21,7
cognitivecomputations/Samantha-120b,76.44,120
sophosympatheia/Midnight-Miqu-70B-v1.0,75.9,70
claude-3-sonnet-20240229,80.45,
claude-3-opus-20240229,82.19,
Infinimol/miiqu-f16,83.17,105,
mlabonne/Beyonder-4x7B-v3,77.01,4x7
Nexusflow/Starling-LM-7B-beta,73.82,7
Qwen/Qwen1.5-MoE-A2.7B-Chat,58.07,8x1.8
databricks/dbrx-instruct,76.82,16x8,
CohereForAI/c4ai-command-r-v01,56.05,35,
claude-3-haiku-20240307,63.65,
Qwen/Qwen1.5-32B-Chat,75.59,32
CohereForAI/c4ai-command-r-plus,76.11,104
google/gemma-1.1-7b-it,59.17,7
gpt-4-turbo-2024-04-09,86.35,
microsoft/WizardLM-2-7B,69.31,7
microsoft/WizardLM-2-8x22B,77.91,8x22
mistralai/Mixtral-8x22B-Instruct-v0.1,78.79,8x22
meta-llama/Meta-Llama-3-8B-Instruct,68.88,8
meta-llama/Meta-Llama-3-70B-Instruct,82.13,70
paloalma/ECE-TW3-JRGL-V1,83.07,69
Nanbeige/Nanbeige2-8B-Chat,65.17,8
microsoft/Phi-3-mini-4k-instruct,58.15,3.8
Qwen/Qwen1.5-110B-Chat,83.68,110
gpt-4o,83.51,
01-ai/Yi-1.5-34B-Chat,72.93,34
01-ai/Yi-1.5-9B-Chat,70.37,9
01-ai/Yi-1.5-6B-Chat,59.45,6
abacusai/Smaug-Llama-3-70B-Instruct,80.69,70
microsoft/Phi-3-medium-4k-instruct,76.34,14
microsoft/Phi-3-small-8k-instruct,73.49,7
mistralai/Mistral-7B-Instruct-v0.3,63.15,7
Qwen/Qwen2-72B-Instruct,81.35,72
claude-3-5-sonnet-20240620,86.36,
google/gemma-2-9b-it,80.46,9
google/gemma-2-27b-it,80.55,27
gpt-4o-mini,76.93,
mistralai/Mistral-Nemo-Instruct-2407,77.13,12
deepseek-ai/DeepSeek-V2-Chat-0628,83.18,236B-21A
mistral-large-2407,85.05,123
meta-llama/Meta-Llama-3.1-405B-Instruct,83.0,405
google/gemma-2-2b-it,60.86,2.6
dnhkng/RYS-XLarge,84.55,78
dnhkng/RYS-XLarge-Base,85.05,78
LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct,66.72,8
microsoft/Phi-3.5-mini-instruct,54.74,3.8
microsoft/Phi-3.5-MoE-instruct,76.97,16x3.8
senseable/Trillama-8B,66.63,8
upstage/solar-pro-preview-instruct,78.52,22
ifable/gemma-2-Ifable-9B,79.93,9
o1-preview-2024-09-12,80.51,
o1-mini-2024-09-12,71.97,
NousResearch/Hermes-3-Llama-3.1-405B,82.79,405
deepseek-ai/DeepSeek-V2.5,81.96,236B-21A
chatgpt-4o-latest-2024-09-03,82.45,
mistralai/Mistral-Small-Instruct-2409,80.86,22
*Qwen/Qwen2.5-3B-Instruct,49.76,3
*Qwen/Qwen2.5-7B-Instruct,69.18,7
*Qwen/Qwen2.5-14B-Instruct,79.23,14
*Qwen/Qwen2.5-32B-Instruct,79.89,32
*Qwen/Qwen2.5-72B-Instruct,79.05,72
*gemini-1.5-pro-002,83.52,
*meta-llama/Llama-3.2-1B-Instruct,22.65,1
*meta-llama/Llama-3.2-3B-Instruct,61.06,3
*meta-llama/Llama-3.2-11B-Vision-Instruct,67.88,11
*meta-llama/Llama-3.2-90B-Vision-Instruct,81.98,90`;
const leaderboardDataMagi = `model,score
random-baseline,25.00
TheBloke/koala-7B-HF,23.7
lmsys/vicuna-7b-v1.1,27.38
stabilityai/stablelm-2-zephyr-1_6b,27.54
lmsys/vicuna-13b-v1.5,28.75
Qwen/Qwen-1_8B-Chat,29.19
NousResearch/Nous-Capybara-7B-V1,30.16
mlabonne/phixtral-2x2_8,30.44
microsoft/phi-2,30.57
mistralai/mistral-7b-instruct-v0.1,30.69
Qwen/Qwen1.5-1.8B-Chat,31.56
lmsys/vicuna-33b-v1.3,31.66
timdettmers/guanaco-33b-merged,31.78
lxuechen/phi-2-dpo,31.85
rhysjones/phi-2-orange,32.03
vince62s/phi-2-psy,32.03
Qwen/Qwen1.5-4B-Chat,32.66
cognitivecomputations/dolphin-2.2.1-mistral-7b,33.16
Qwen/Qwen-7B-Chat,33.44
mistralai/Mistral-7B-Instruct-v0.2,34.69
serpdotai/sparsetral-16x7B-v2,34.97
huggingfaceh4/zephyr-7b-alpha,35.15
Open-Orca/Mistral-7B-OpenOrca,35.78
huggingfaceh4/zephyr-7b-beta,35.97
Toten5/Marcoroni-neural-chat-7B-v2,36.31
senseable/WestLake-7B-v2,36.59
Intel/neural-chat-7b-v3-1,36.65
berkeley-nest/Starling-LM-7B-alpha,37.06
mlabonne/NeuralMarcoro14-7B,37.12
teknium/OpenHermes-2.5-Mistral-7B,37.31
openchat/openchat_3.5,37.34
cognitivecomputations/laserxtral,37.46
fblgit/una-cybertron-7b-v2-bf16,37.5
snorkelai/Snorkel-Mistral-PairRM-DPO,37.53
mlabonne/NeuralHermes-2.5-Mistral-7B,37.56
mlabonne/Beyonder-4x7B-v2,38.03
internlm/internlm2-chat-7b,38.43
01-ai/Yi-6B-Chat,38.74
openchat/openchat-3.5-1210,38.81
mlabonne/AlphaMonarch-7B,39.12
mlabonne/Monarch-7B,39.56
mlabonne/NeuralMonarch-7B,39.59
upstage/SOLAR-10.7B-Instruct-v1.0,39.62
Qwen/Qwen-14B-Chat,39.74
WizardLM/WizardLM-70B-V1.0,39.87
gpt-3.5-turbo-0613,40.55
mlabonne/Beagle14-7B,41.02
mlabonne/NeuralBeagle14-7B,41.06
zyh3826/GML-Mistral-merged-v1,41.18
Qwen/Qwen1.5-7B-Chat,41.59
Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct,42.43
YeungNLP/firefly-mixtral-8x7b,42.46
Yhyu13/LMCocktail-10.7B-v1,42.65
gpt-3.5-turbo-0125,42.65
rishiraj/meow,42.68
gpt-3.5-turbo-1106,43.17
mistralai/Mixtral-8x7B-Instruct-v0.1,45.74
gpt-3.5-turbo-0301,46.66
gemini-pro,46.87
migtissera/Tess-XL-v1.0,48.08
migtissera/SynthIA-70B-v1.5,48.92
cognitivecomputations/dolphin-2.2-70b,49.73
allenai/tulu-2-dpo-70b,50.23
NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT,51.83
mistral-small-2402,51.9
cognitivecomputations/MegaDolphin-120b,54.45
01-ai/Yi-34B-Chat,57.1
Qwen/Qwen-72B-Chat,60.38
cognitivecomputations/dolphin-2_2-yi-34b,60.66
mistral-medium,62.15
NousResearch/Nous-Hermes-2-Yi-34B,63.03
cloudyu/Mixtral_34Bx2_MoE_60B,65.06
mistral-large-2402,67.69
gpt-4-1106-preview,74.96
gpt-4-0314,75.67
claude-3-opus-20240229,76.55
gpt-4-0125-preview,76.83
gpt-4-0613,77.85
madatnlp/marcoroni-7b-v3-safetensor,37.06
meta-llama/Llama-2-13b-chat-hf,28.2
meta-llama/Llama-2-70b-chat-hf,35.4
meta-llama/Llama-2-7b-chat-hf,27.5
alpindale/goliath-120b,50.36
OrionStarAI/Orion-14B-Chat,40.74
macadeliccc/SOLAR-10.7b-Instruct-dpo,42.37
miqudev/miqu-1-70b,63.22
DiscoResearch/DiscoLM-120b,54.01
WizardLM/WizardLM-13B-V1.2,29.1
Qwen/Qwen1.5-14B-Chat,49.27
Qwen/Qwen1.5-72B-Chat,63.47
vilm/Quyen-Pro-Max-v0.1,59.29
ShinojiResearch/Senku-70B-Full,63.94
alpindale/miquella-120b,60.69
wolfram/miquliz-120b-v2.0,54.57
migtissera/Tess-72B-v1.5b,59.57
vilm/Quyen-Pro-v0.1,47.3
google/gemma-7b-it,24.85
google/gemma-2b-it,24.16
abacusai/Smaug-72B-v0.1,60.22
yam-peleg/Experiment26-7B,38.93
cognitivecomputations/Samantha-120b,48.58
sophosympatheia/Midnight-Miqu-70B-v1.0,40.74
claude-3-sonnet-20240229,61.01
Infinimol/miiqu-f16,63.28
mlabonne/Beyonder-4x7B-v3,39.03
Nexusflow/Starling-LM-7B-beta,40.12
Qwen/Qwen1.5-MoE-A2.7B-Chat,38.34
databricks/dbrx-instruct,57.13
CohereForAI/c4ai-command-r-v01,43.27
claude-3-haiku-20240307,47.71
Qwen/Qwen1.5-32B-Chat,60.72
CohereForAI/c4ai-command-r-plus,49.70
google/gemma-1.1-7b-it,38.43
gpt-4-turbo-2024-04-09,77.74
microsoft/WizardLM-2-7B,35.40
microsoft/WizardLM-2-8x22B,59.16
mistralai/Mixtral-8x22B-Instruct-v0.1,62.41
meta-llama/Meta-Llama-3-8B-Instruct,63.84
meta-llama/Meta-Llama-3-70B-Instruct,67.97
paloalma/ECE-TW3-JRGL-V1,63.56
Nanbeige/Nanbeige2-8B-Chat,33.03
microsoft/Phi-3-mini-4k-instruct,53.26
Qwen/Qwen1.5-110B-Chat,66.09
gpt-4o,80.86
01-ai/Yi-1.5-34B-Chat,64.85
01-ai/Yi-1.5-9B-Chat,56.13
01-ai/Yi-1.5-6B-Chat,46.18
abacusai/Smaug-Llama-3-70B-Instruct,67.25
microsoft/Phi-3-medium-4k-instruct,66.38
microsoft/Phi-3-small-8k-instruct,64.16
mistralai/Mistral-7B-Instruct-v0.3,36.00
Qwen/Qwen2-72B-Instruct,75.74
claude-3-5-sonnet-20240620,78.8
google/gemma-2-9b-it,57.98
google/gemma-2-27b-it,64.10
gpt-4o-mini,67.50
mistralai/Mistral-Nemo-Instruct-2407,43.65
deepseek-ai/DeepSeek-V2-Chat-0628,60.63
mistral-large-2407,72.37
meta-llama/Meta-Llama-3.1-405B-Instruct,83.81
google/gemma-2-2b-it,35.22
dnhkng/RYS-XLarge,76.83
dnhkng/RYS-XLarge-Base,78.30
LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct,42.80
microsoft/Phi-3.5-mini-instruct,52.92
microsoft/Phi-3.5-MoE-instruct,67.25
senseable/Trillama-8B,41.90
upstage/solar-pro-preview-instruct,70.84
ifable/gemma-2-Ifable-9B,56.35
NousResearch/Hermes-3-Llama-3.1-405B,76.23
deepseek-ai/DeepSeek-V2.5,62.04
chatgpt-4o-latest-2024-09-03,80.61
mistralai/Mistral-Small-Instruct-2409,51.58
Qwen/Qwen2.5-3B-Instruct,48.83
Qwen/Qwen2.5-7B-Instruct,56.01
Qwen/Qwen2.5-14B-Instruct,72.81
Qwen/Qwen2.5-32B-Instruct,76.71
Qwen/Qwen2.5-72B-Instruct,77.83
gemini-1.5-pro-002,81.83
meta-llama/Llama-3.2-1B-Instruct,31.28
meta-llama/Llama-3.2-3B-Instruct,42.21
meta-llama/Llama-3.2-90B-Vision-Instruct,77.83`
function setupDarkModeToggle() {
var toggle = document.getElementById('darkModeToggle');
var label = document.getElementById('toggleLabel');
// Check if a preference is saved in localStorage and apply it
const savedMode = localStorage.getItem('darkModeEnabled');
if (savedMode !== null) {
const isDarkMode = savedMode === 'true';
document.body.classList.toggle('dark-mode', isDarkMode);
toggle.checked = isDarkMode;
label.textContent = isDarkMode ? 'Dark' : 'Light';
}
toggle.addEventListener('change', function() {
document.body.classList.toggle('dark-mode', this.checked);
label.textContent = this.checked ? 'Dark' : 'Light';
localStorage.setItem('darkModeEnabled', this.checked); // Save the current preference
});
}
function applySystemTheme() {
const toggle = document.getElementById('darkModeToggle');
const label = document.getElementById('toggleLabel');
// Apply system theme only if no saved preference
if (localStorage.getItem('darkModeEnabled') === null) {
const prefersDarkMode = window.matchMedia('(prefers-color-scheme: dark)').matches;
document.body.classList.toggle('dark-mode', prefersDarkMode);
toggle.checked = prefersDarkMode;
label.textContent = prefersDarkMode ? 'Dark' : 'Light';
} else {
// If there is a saved preference, ensure it's applied correctly
const isDarkMode = localStorage.getItem('darkModeEnabled') === 'true';
document.body.classList.toggle('dark-mode', isDarkMode);
toggle.checked = isDarkMode;
label.textContent = isDarkMode ? 'Dark' : 'Light';
}
}
function displayEncodedEmail() {
var encodedUser = 'contact';
var encodedDomain = 'eqbench.com';
var emailElement = document.getElementById('email');
emailElement.innerHTML = decodeHtmlEntities(encodedUser + '@' + encodedDomain);
var emailAddress = emailElement.innerText;
emailElement.innerHTML = `<a href="mailto:${emailAddress}">Contact</a>`;
}
function decodeHtmlEntities(encodedString) {
var textArea = document.createElement('textarea');
textArea.innerHTML = encodedString;
return textArea.value;
}
$.fn.dataTable.ext.type.order['scores-pre'] = function (data) {
// Handle missing or null values;
if (!data || data === '-') {
return -1; // Always sort these values last
}
return parseFloat(data) || 0;
};
$.fn.dataTable.ext.type.order['params-pre'] = function (data) {
if (!data || data === '-') {
return 9999; // Sort missing or null values last
}
if (data.includes('x')) {
const parts = data.split('x').map(Number);
return parts.reduce((acc, val) => acc * val, 1); // Multiply if in 'x' format
}
return parseFloat(data) || 0; // Default to float conversion
};
function loadLeaderboardData() {
const eqbenchRows = leaderboardDataEqbench.split('\n').slice(1); // Skip header for EQ-Bench data
const magiRows = leaderboardDataMagi.split('\n').slice(1).map(row => {
const [model, score] = row.split(',');
return { model, score: parseFloat(score) };
});
// Calculate max scores for each series
const maxScoreEQBench = Math.max(...eqbenchRows.map(row => parseFloat(row.split(',')[1])));
const maxScoreMagi = Math.max(...magiRows.map(row => row.score));
let html = eqbenchRows.map(eqbenchRow => {
const [modelName, score, parameters] = eqbenchRow.split(',');
const cleanModelName = modelName.replace(/^\*/, ''); // Remove leading asterisk
const isNewModel = modelName.startsWith('*'); // Check if the model is new
const magiEntry = magiRows.find(magiRow => magiRow.model === cleanModelName);
const magiScore = magiEntry ? magiEntry.score : 0; // Use 0 if MAGI score is missing
const scoreNum = parseFloat(score);
const combined = magiScore ? ((scoreNum + magiScore) / 2).toFixed(2) : 0;
// Calculate score percentages based on their respective max scores
let scorePercentageEQ = (scoreNum / maxScoreEQBench) * 100;
let scorePercentageMagi = magiEntry ? (magiScore / maxScoreMagi) * 100 : 0;
let maxScoreCombined = Math.max(...eqbenchRows.map(row => {
let score = parseFloat(row.split(',')[1]);
let magiScore = magiRows.find(magiRow => magiRow.model === row.split(',')[0])?.score || 0;
return magiScore ? ((score + magiScore) / 2) : 0;
}));
let scorePercentageCombined = ((parseFloat(combined) / maxScoreCombined) * 100) || 0;
// Extract model name without creator
let displayModelName = cleanModelName.split('/').pop();
let modelNameDisplay = cleanModelName.includes('/')
? `<a href="https://huggingface.co/${cleanModelName}" target="_blank">${displayModelName}</a>`
: displayModelName;
if (isNewModel) {
modelNameDisplay = '🆕' + modelNameDisplay
}
let scoreBarEQ = `
<div class="score-bar-container">
<div class="score-bar" style="width: ${scorePercentageEQ}%"></div>
<span class="score-text">${score}</span>
</div>
`;
let scoreBarMagi = magiEntry ? `<div class="score-bar-container">
<div class="score-bar" style="width: ${scorePercentageMagi}%"></div>
<span class="score-text">${magiScore}</span>
</div>
` : `<span class="score-text"></span>`;
let scoreBarCombined = combined ? `<div class="score-bar-container">
<div class="score-bar" style="width: ${scorePercentageCombined}%"></div>
<span class="score-text">${combined}</span>
</div>
` : `<span class="score-text"></span>`;
return `<tr class="${''}">
<td>${modelNameDisplay}</td>
<td>${parameters}</td>
<td data-order="${score}">${scoreBarEQ}</td>
<td data-order="${magiScore}">${scoreBarMagi}</td>
<td data-order="${combined}">${scoreBarCombined}</td>
</tr>`;
}).join('');
document.getElementById('leaderboardBody').innerHTML = html;
initializeDataTable();
}
function initializeDataTable() {
let table = $('#leaderboard').DataTable({
"order": [[4, "desc"]], // Default sorting
//"pageLength": 100,
//"lengthMenu": [50, 100, 200, 1000],
"paging": false, // Disable pagination
"searching": false, // Disable search bar
"language": {
//"lengthMenu": "Show _MENU_"
},
"columnDefs": [
{ "targets": [2, 3, 4], "orderSequence": ["desc", "asc"] }, // For score columns: sort desc first
{
"targets": [1], // Adjust this index based on your table's structure
"type": "params" // Use the custom sorting type defined above
},
{
"targets": [3,4], // Index of the MAGI & Combined columns
"type": "scores"
},
],
"dom": "<'d-flex flex-column flex-md-row justify-content-between'<'dataTables_length'l><'dataTables_filter'f>>" +
"<'row'<'col-12'tr>>" +
"<'row'<'col-md-5'i><'col-md-7'p>>",
"drawCallback": function(settings) {
// Hide all score bars initially
$('.score-bar').hide();
let api = this.api();
let sortedColumnIndex = api.order()[0][0];
const SCORE_COLUMNS = [2, 3, 4]; // Indices for the score columns (EQ-Bench, MAGI, and Avg)
const MODEL_PARAMS_COLUMNS = [0, 1]; // Indices for the Model and Params columns
// Check if the sorted column is a score column
if (SCORE_COLUMNS.includes(sortedColumnIndex)) {
// Show score bar for the sorted score column only
api.cells(null, sortedColumnIndex).nodes().to$().find('.score-bar').show();
// Adjust the width of the sorted score column
$('th').css('width', ''); // Reset widths for all headers
$(api.column(sortedColumnIndex).header()).css('width', '33%');
// Update the last sorted score column
lastSortedScoreColumn = sortedColumnIndex;
} else if (MODEL_PARAMS_COLUMNS.includes(sortedColumnIndex)) {
// If sorted by Model or Params, do not reset the score bars and column width
if (lastSortedScoreColumn !== null) {
// Reapply the width adjustment to the last sorted score column
$('th').css('width', '');
$(api.column(lastSortedScoreColumn).header()).css('width', '33%');
// Make the score bar of the last sorted score column visible
api.cells(null, lastSortedScoreColumn).nodes().to$().find('.score-bar').show();
}
}
}
});
}
let lastSortedScoreColumn = null;
function adjustScoreBarsAndColumnWidth(table, sortedColumnIndex) {
const SCORE_COLUMNS = [2, 3, 4];
const MODEL_PARAMS_COLUMNS = [0, 1];
// Reset width adjustments for all columns
$('th').css('width', '');
// Determine action based on the sorted column
if (SCORE_COLUMNS.includes(sortedColumnIndex)) {
// Sorting by a score column
// Show the score bar for the sorted score column
$('.score-bar').css('display', 'none');
table.columns(sortedColumnIndex).nodes().flatten().to$().find('.score-bar').css('display', 'block');
$(table.column(sortedColumnIndex).header()).css('width', '33%');
lastSortedScoreColumn = sortedColumnIndex;
} else if (MODEL_PARAMS_COLUMNS.includes(sortedColumnIndex)) {
// Sorting by Model or Params column
// Do not adjust width, but maintain the state of score bars
if (lastSortedScoreColumn !== null) {
$('.score-bar').css('display', 'none');
table.columns(lastSortedScoreColumn).nodes().flatten().to$().find('.score-bar').css('display', 'block');
}
}
}
document.addEventListener('DOMContentLoaded', function() {
// Always execute
displayEncodedEmail();
//setupDarkModeToggle();
//applySystemTheme();
// Conditional execution based on the presence of elements
if (document.getElementById('leaderboard')) {
loadLeaderboardData(); // Only load leaderboard data if the leaderboard element exists
}
// This checks if the system theme preference should be applied, which is common functionality
applySystemTheme();
setupDarkModeToggle();
// Handle expandable citations in the about page
const expandoBtn = document.getElementById('expando-btn');
if (expandoBtn) {
const expandoContent = document.querySelector('.expando-content');
expandoContent.style.display = 'none';
expandoBtn.textContent = 'Click to show citations';
expandoBtn.addEventListener('click', function() {
if (expandoContent.style.display === 'none' || expandoContent.style.display === '') {
expandoContent.style.display = 'block';
expandoBtn.textContent = 'Click to hide citations';
expandoContent.scrollIntoView({ behavior: 'smooth', block: 'start' });
} else {
expandoContent.style.display = 'none';
expandoBtn.textContent = 'Click to show citations';
}
});
}
});
$(document).ready(function() {
$('#darkModeToggle').change(function() {
if ($(this).is(':checked')) {
$('body').addClass('dark-mode').removeClass('light-mode');
$('#toggleLabel').text('Dark');
} else {
$('body').addClass('light-mode').removeClass('dark-mode');
$('#toggleLabel').text('Light');
}
});
});