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from pathlib import Path | |
from collections import OrderedDict | |
DEFAULT_K = "∞" | |
# DEFAULT_K = "1500" | |
banner_url = "https://github.com/yuchenlin/ZeroEval/blob/main/docs/zebra/zebra_banner.png?raw=true" # the same repo here. | |
BANNER = f'<div style="display: flex; justify-content: flex-start;"><img src="{banner_url}" alt="Banner" style="width: 70vw; min-width: 300px; max-width: 1000px;border: 3px solid gray; border-color: gray black;"> </div>' | |
TITLE = "<html> <head> <style> h1 {text-align: center;} </style> </head> <body> <h1> 🦁 AI2 WildBench Leaderboard </b> </body> </html>" | |
WINRATE_HEATMAP = "<div><img src='https://github.com/WildEval/WildBench-Leaderboard/blob/main/gradio/pairwise_win_fractions.png?raw=true' style='width:100%;'></div>" | |
CITATION_TEXT = """@article{tbd, | |
title={tbd}, | |
author={tbd}, | |
journal={tbd}, | |
year={2024} | |
} | |
""" | |
# make column_names as an ordered dict | |
column_names = OrderedDict({ | |
"Model": "Model", | |
"Mode": "Mode", | |
"Puzzle Acc": "Puzzle Acc", | |
"Cell Acc": "Cell Acc", | |
"No answer": "No answer", | |
"Easy Puzzle Acc": "Easy Puzzle Acc", | |
"Hard Puzzle Acc": "Hard Puzzle Acc", | |
# "Total Puzzles": "Total Puzzles", | |
# "Reason Lens": "Reason Lens", | |
}) | |
LEADERBOARD_REMARKS = """**WB Reward**: for each comparison (A vs B), a reward for A is **+/-1** if A is **much better/worse** than B, and **+/-0.5** if A is **slightly better/worse** than B; when there is a **Tie**, the reward is **0**. | |
""" | |
# **WB Reward**: for each pairwise comparison, a reward for A is **+/-1** if A is **much better/worse** than B, and **+/-0.5** if A is **slightly better/worse** than B; 0 for a **Tie**. | |
# The baseline models are GPT4-Turbo, Haiku, and Llama2-70B, and Mix is the average of the three. | |
# **WB Score** individually scores each model based on checklists. | |
# Evaluator is GPT-4-Turbo. | |
LEADERBOARD_REMARKS_MAIN = """ | |
""" | |
RANKING_COLUMN = "Puzzle Acc" | |
ORDERED_COLUMN_NAMES = [ | |
"Model", | |
"Mode", | |
"Puzzle Acc", | |
"Easy Puzzle Acc", | |
"Hard Puzzle Acc", | |
"Cell Acc", | |
"No answer", | |
] | |
js_light = """ | |
function refresh() { | |
const url = new URL(window.location); | |
if (url.searchParams.get('__theme') !== 'light') { | |
url.searchParams.set('__theme', 'light'); | |
window.location.href = url.href; | |
} | |
// Find the fieldset with the given id | |
const fieldset = document.getElementById("rank-column-radio"); | |
// Create a new span element with the text "Decoding Mode:" | |
const rankBySpan = document.createElement("span"); | |
rankBySpan.textContent = "Decoding Mode: "; | |
rankBySpan.style.fontWeight = "bold"; // Optional: make the text bold | |
rankBySpan.style.fontSize = "19px"; // Larger font size | |
rankBySpan.style.paddingRight = "18px"; // Add padding on the right | |
// Wrap the span and the labels in a flex container | |
const flexContainer = document.createElement("div"); | |
flexContainer.style.display = "flex"; | |
flexContainer.style.alignItems = "center"; | |
// Insert the rankBySpan at the beginning of the flex container | |
flexContainer.appendChild(rankBySpan); | |
// Move all existing labels into the flex container | |
while (fieldset.firstChild) { | |
flexContainer.appendChild(fieldset.firstChild); | |
} | |
// Append the flex container back to the fieldset | |
fieldset.appendChild(flexContainer); | |
} | |
""" | |
js_code = """ | |
function scroll_top() { | |
console.log("Hello from Gradio!"); | |
const bubbles = document.querySelectorAll('.bubble-wrap'); | |
bubbles.forEach((bubble, index) => { | |
setTimeout(() => { | |
bubble.scrollTop = 0; | |
}, index * 100); // Delay of 100ms between each iteration | |
}); | |
} | |
""" | |
TASK_TYPE_STR = "**Tasks**: Info seeking (**InfoSek**), Creative Writing (**CrtWrt**), Coding&Debugging (**Code**), Reasoning (**Reason**), Editing (**Edit**), **Math**, Planning (**Plan**), Brainstorming (**Brnstrm**), Role playing (**RolPly**), Advice seeking (**AdvSek**), Data Analysis (**DataAna**)" | |
css = """ | |
code { | |
font-size: large; | |
} | |
footer {visibility: hidden} | |
.top-left-LP{ | |
margin-top: 6px; | |
margin-left: 5px; | |
} | |
.no_margin{ | |
margin-top: 0px; | |
margin-left: 0px; | |
margin-right: 0px; | |
margin-bottom: 0px; | |
padding-top: 0px; | |
padding-left: 0px; | |
padding-right: 0px; | |
padding-bottom: 0px; | |
} | |
.markdown-text{font-size: 14pt} | |
.markdown-text-tiny{font-size: 10pt} | |
.markdown-text-small{font-size: 13pt} | |
.markdown-text-tiny{font-size: 12pt} | |
.markdown-text-tiny-red{ | |
font-size: 12pt; | |
color: red; | |
background-color: yellow; | |
font-color: red; | |
font-weight: bold; | |
} | |
th { | |
text-align: center; | |
font-size: 17px; /* Adjust the font size as needed */ | |
} | |
td { | |
font-size: 15px; /* Adjust the font size as needed */ | |
text-align: center; | |
} | |
.sample_button{ | |
border: 2px solid #000000; | |
border-radius: 10px; | |
padding: 10px; | |
font-size: 17pt; | |
font-weight: bold; | |
margin: 5px; | |
background-color: #D8BFD8; | |
} | |
.chat-common{ | |
height: auto; | |
max-height: 400px; | |
min-height: 100px; | |
} | |
.chat-specific{ | |
height: auto; | |
max-height: 600px; | |
min-height: 200px; | |
} | |
#od-benchmark-tab-table-button{ | |
font-size: 15pt; | |
font-weight: bold; | |
} | |
.btn_boderline{ | |
border: 1px solid #000000; | |
border-radius: 5px; | |
padding: 5px; | |
margin: 5px; | |
font-size: 15pt; | |
font-weight: bold; | |
} | |
.btn_boderline_next{ | |
border: 0.1px solid #000000; | |
border-radius: 5px; | |
padding: 5px; | |
margin: 5px; | |
font-size: 15pt; | |
font-weight: bold; | |
} | |
.btn_boderline_gray{ | |
border: 0.5px solid gray; | |
border-radius: 5px; | |
padding: 5px; | |
margin: 5px; | |
font-size: 15pt; | |
font-weight: italic; | |
} | |
.btn_boderline_selected{ | |
border: 2px solid purple; | |
background-color: #f2f2f2; | |
border-radius: 5px; | |
padding: 5px; | |
margin: 5px; | |
font-size: 15pt; | |
font-weight: bold; | |
} | |
.accordion-label button span{ | |
font-size: 14pt; | |
font-weight: bold; | |
} | |
#show-task-categorized span{ | |
font-size: 13pt; | |
font-weight: bold; | |
} | |
#show-open-source-models span{ | |
font-size: 13pt; | |
font-weight: bold; | |
} | |
#select-models span{ | |
font-size: 10pt; | |
} | |
#select-tasks span{ | |
font-size: 10pt; | |
} | |
.markdown-text-details{ | |
margin: 10px; | |
padding: 10px; | |
} | |
button.selected[role="tab"][aria-selected="true"] { | |
font-size: 18px; /* or any other size you prefer */ | |
font-weight: bold; | |
} | |
#od-benchmark-tab-table-ablation-button { | |
font-size: larger; /* Adjust the font size as needed */ | |
} | |
.plotly-plot{ | |
height: auto; | |
max-height: 600px; | |
min-height: 600px; | |
} | |
#length-margin-radio{ | |
font-size: 10pt; | |
# padding: 0px; | |
# margin: 1px; | |
} | |
#show-task-categorized{ | |
font-size: 12pt; | |
font-decoration: bold; | |
} | |
#show-open-source-models{ | |
font-size: 12pt; | |
font-decoration: bold; | |
} | |
.box_md{ | |
border: 1px solid #000000; | |
border-radius: 10px; | |
padding: 5px; | |
font-size: 12pt; | |
margin: 5px; | |
} | |
""" | |