Upload from GitHub Actions: Improve UX and style
Browse files- evals/backend.py +6 -0
- frontend/src/App.js +22 -4
- frontend/src/components/AutoComplete.js +239 -86
- frontend/src/components/DatasetTable.js +8 -1
- frontend/src/components/LanguageTable.js +9 -2
- frontend/src/components/ModelTable.js +39 -2
- frontend/src/index.css +54 -19
evals/backend.py
CHANGED
|
@@ -54,6 +54,9 @@ def make_model_table(df, models):
|
|
| 54 |
df["task_metric"] = df["task"] + "_" + df["metric"]
|
| 55 |
df = df.drop(columns=["task", "metric"])
|
| 56 |
df = df.pivot(index="model", columns="task_metric", values="score")
|
|
|
|
|
|
|
|
|
|
| 57 |
df["average"] = compute_normalized_average(df, task_metrics_basic)
|
| 58 |
df = df.sort_values(by="average", ascending=False).reset_index()
|
| 59 |
df = pd.merge(df, models, left_on="model", right_on="id", how="left")
|
|
@@ -86,6 +89,9 @@ def make_language_table(df, languages):
|
|
| 86 |
df["task_metric"] = df["task"] + "_" + df["metric"]
|
| 87 |
df = df.drop(columns=["task", "metric"])
|
| 88 |
df = df.pivot(index="bcp_47", columns="task_metric", values="score").reset_index()
|
|
|
|
|
|
|
|
|
|
| 89 |
df["average"] = compute_normalized_average(df, task_metrics_basic)
|
| 90 |
df = pd.merge(languages, df, on="bcp_47", how="outer")
|
| 91 |
df = df.sort_values(by="speakers", ascending=False)
|
|
|
|
| 54 |
df["task_metric"] = df["task"] + "_" + df["metric"]
|
| 55 |
df = df.drop(columns=["task", "metric"])
|
| 56 |
df = df.pivot(index="model", columns="task_metric", values="score")
|
| 57 |
+
for metric in task_metrics:
|
| 58 |
+
if metric not in df.columns:
|
| 59 |
+
df[metric] = np.nan
|
| 60 |
df["average"] = compute_normalized_average(df, task_metrics_basic)
|
| 61 |
df = df.sort_values(by="average", ascending=False).reset_index()
|
| 62 |
df = pd.merge(df, models, left_on="model", right_on="id", how="left")
|
|
|
|
| 89 |
df["task_metric"] = df["task"] + "_" + df["metric"]
|
| 90 |
df = df.drop(columns=["task", "metric"])
|
| 91 |
df = df.pivot(index="bcp_47", columns="task_metric", values="score").reset_index()
|
| 92 |
+
for metric in task_metrics:
|
| 93 |
+
if metric not in df.columns:
|
| 94 |
+
df[metric] = np.nan
|
| 95 |
df["average"] = compute_normalized_average(df, task_metrics_basic)
|
| 96 |
df = pd.merge(languages, df, on="bcp_47", how="outer")
|
| 97 |
df = df.sort_values(by="speakers", ascending=False)
|
frontend/src/App.js
CHANGED
|
@@ -94,10 +94,23 @@ function App () {
|
|
| 94 |
🌍
|
| 95 |
</span>
|
| 96 |
</div>
|
| 97 |
-
<h1 style={{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 98 |
AI Language Proficiency Monitor
|
| 99 |
</h1>
|
| 100 |
-
<p style={{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 101 |
Comprehensive multilingual evaluation results for AI language models
|
| 102 |
</p>
|
| 103 |
|
|
@@ -155,13 +168,18 @@ function App () {
|
|
| 155 |
{data && (
|
| 156 |
<>
|
| 157 |
<div style={{ width: '100%' }}>
|
| 158 |
-
<ModelTable
|
|
|
|
|
|
|
|
|
|
|
|
|
| 159 |
</div>
|
| 160 |
<div style={{ width: '100%' }}>
|
| 161 |
<LanguageTable
|
| 162 |
data={data.language_table}
|
| 163 |
selectedLanguages={selectedLanguages}
|
| 164 |
setSelectedLanguages={setSelectedLanguages}
|
|
|
|
| 165 |
/>
|
| 166 |
</div>
|
| 167 |
<div style={{ width: '100%' }}>
|
|
@@ -272,7 +290,7 @@ function App () {
|
|
| 272 |
style={{ width: '90vw', height: '90vh' }}
|
| 273 |
maximizable
|
| 274 |
modal
|
| 275 |
-
header=
|
| 276 |
>
|
| 277 |
{data && (
|
| 278 |
<div style={{ width: '100%', height: '100%' }}>
|
|
|
|
| 94 |
🌍
|
| 95 |
</span>
|
| 96 |
</div>
|
| 97 |
+
<h1 style={{
|
| 98 |
+
fontSize: '2.5rem',
|
| 99 |
+
fontWeight: '600',
|
| 100 |
+
margin: '1rem 0 0.5rem 0',
|
| 101 |
+
color: '#333',
|
| 102 |
+
letterSpacing: '-0.01em'
|
| 103 |
+
}}>
|
| 104 |
AI Language Proficiency Monitor
|
| 105 |
</h1>
|
| 106 |
+
<p style={{
|
| 107 |
+
fontSize: '1.1rem',
|
| 108 |
+
color: '#666',
|
| 109 |
+
margin: '0 0 2.5rem 0',
|
| 110 |
+
fontWeight: '400',
|
| 111 |
+
maxWidth: '700px',
|
| 112 |
+
lineHeight: '1.5'
|
| 113 |
+
}}>
|
| 114 |
Comprehensive multilingual evaluation results for AI language models
|
| 115 |
</p>
|
| 116 |
|
|
|
|
| 168 |
{data && (
|
| 169 |
<>
|
| 170 |
<div style={{ width: '100%' }}>
|
| 171 |
+
<ModelTable
|
| 172 |
+
data={data.model_table}
|
| 173 |
+
selectedLanguages={selectedLanguages}
|
| 174 |
+
allLanguages={data.language_table || []}
|
| 175 |
+
/>
|
| 176 |
</div>
|
| 177 |
<div style={{ width: '100%' }}>
|
| 178 |
<LanguageTable
|
| 179 |
data={data.language_table}
|
| 180 |
selectedLanguages={selectedLanguages}
|
| 181 |
setSelectedLanguages={setSelectedLanguages}
|
| 182 |
+
totalModels={data.model_table?.length || 0}
|
| 183 |
/>
|
| 184 |
</div>
|
| 185 |
<div style={{ width: '100%' }}>
|
|
|
|
| 290 |
style={{ width: '90vw', height: '90vh' }}
|
| 291 |
maximizable
|
| 292 |
modal
|
| 293 |
+
header={null}
|
| 294 |
>
|
| 295 |
{data && (
|
| 296 |
<div style={{ width: '100%', height: '100%' }}>
|
frontend/src/components/AutoComplete.js
CHANGED
|
@@ -1,102 +1,255 @@
|
|
| 1 |
-
import {
|
| 2 |
-
import { useState } from 'react'
|
| 3 |
-
const AutoComplete = ({ languages, onComplete }) => {
|
| 4 |
-
const [autoComplete, setAutoComplete] = useState('')
|
| 5 |
-
const [suggestions, setSuggestions] = useState([])
|
| 6 |
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
const
|
| 10 |
-
|
| 11 |
-
)
|
|
|
|
|
|
|
| 12 |
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
language.language_name.toLowerCase().includes(query) ||
|
| 18 |
language.autonym.toLowerCase().includes(query) ||
|
| 19 |
language.bcp_47.toLowerCase().includes(query)
|
| 20 |
)
|
| 21 |
-
|
| 22 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
}
|
| 24 |
|
| 25 |
-
const
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
|
| 43 |
return (
|
| 44 |
-
|
| 45 |
-
<
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
}}
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
onComplete([e.value])
|
| 56 |
-
}}
|
| 57 |
-
suggestions={suggestions}
|
| 58 |
-
completeMethod={search}
|
| 59 |
-
virtualScrollerOptions={{ itemSize: 50 }} // smaller values give layout problems
|
| 60 |
-
delay={500}
|
| 61 |
-
autoHighlight
|
| 62 |
-
autoFocus
|
| 63 |
-
itemTemplate={itemTemplate}
|
| 64 |
-
field='language_name'
|
| 65 |
-
minLength={0}
|
| 66 |
-
/>
|
| 67 |
-
<span
|
| 68 |
-
style={{
|
| 69 |
-
display: 'flex',
|
| 70 |
-
flexWrap: 'wrap',
|
| 71 |
-
gap: '1rem',
|
| 72 |
-
rowGap: '0.3rem',
|
| 73 |
-
marginTop: '1rem',
|
| 74 |
-
maxWidth: '600px',
|
| 75 |
-
justifyContent: 'center',
|
| 76 |
-
color: '#555',
|
| 77 |
-
fontSize: '0.8rem'
|
| 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 |
|
|
|
|
| 1 |
+
import { useState, useEffect, useRef } from 'react'
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
+
const AutoComplete = ({ languages, onComplete }) => {
|
| 4 |
+
const [isOpen, setIsOpen] = useState(false)
|
| 5 |
+
const [searchTerm, setSearchTerm] = useState('')
|
| 6 |
+
const [selectedLanguage, setSelectedLanguage] = useState(null)
|
| 7 |
+
const [filteredLanguages, setFilteredLanguages] = useState([])
|
| 8 |
+
const dropdownRef = useRef(null)
|
| 9 |
+
const inputRef = useRef(null)
|
| 10 |
|
| 11 |
+
// Most spoken languages (by number of speakers) - you can adjust this list
|
| 12 |
+
const mostSpokenCodes = ['en', 'zh', 'hi', 'es', 'ar', 'bn', 'pt', 'ru', 'ja', 'pa', 'de', 'jv', 'ko', 'fr', 'te', 'mr', 'tr', 'ta', 'vi', 'ur']
|
| 13 |
+
|
| 14 |
+
useEffect(() => {
|
| 15 |
+
if (!languages) return
|
| 16 |
+
|
| 17 |
+
if (searchTerm.trim() === '') {
|
| 18 |
+
// Show most spoken languages first, then others
|
| 19 |
+
const mostSpoken = mostSpokenCodes
|
| 20 |
+
.map(code => languages.find(lang => lang.bcp_47 === code))
|
| 21 |
+
.filter(Boolean)
|
| 22 |
+
|
| 23 |
+
const others = languages
|
| 24 |
+
.filter(lang => !mostSpokenCodes.includes(lang.bcp_47))
|
| 25 |
+
.sort((a, b) => a.language_name.localeCompare(b.language_name))
|
| 26 |
+
|
| 27 |
+
setFilteredLanguages([...mostSpoken, ...others])
|
| 28 |
+
} else {
|
| 29 |
+
const query = searchTerm.toLowerCase()
|
| 30 |
+
const matches = languages.filter(language =>
|
| 31 |
language.language_name.toLowerCase().includes(query) ||
|
| 32 |
language.autonym.toLowerCase().includes(query) ||
|
| 33 |
language.bcp_47.toLowerCase().includes(query)
|
| 34 |
)
|
| 35 |
+
setFilteredLanguages(matches)
|
| 36 |
+
}
|
| 37 |
+
}, [searchTerm, languages, mostSpokenCodes])
|
| 38 |
+
|
| 39 |
+
useEffect(() => {
|
| 40 |
+
const handleClickOutside = (event) => {
|
| 41 |
+
if (dropdownRef.current && !dropdownRef.current.contains(event.target)) {
|
| 42 |
+
setIsOpen(false)
|
| 43 |
+
setSearchTerm('')
|
| 44 |
+
}
|
| 45 |
+
}
|
| 46 |
+
|
| 47 |
+
document.addEventListener('mousedown', handleClickOutside)
|
| 48 |
+
return () => document.removeEventListener('mousedown', handleClickOutside)
|
| 49 |
+
}, [])
|
| 50 |
+
|
| 51 |
+
const handleSelect = (language) => {
|
| 52 |
+
setSelectedLanguage(language)
|
| 53 |
+
setIsOpen(false)
|
| 54 |
+
setSearchTerm('')
|
| 55 |
+
onComplete([language])
|
| 56 |
}
|
| 57 |
|
| 58 |
+
const handleClear = (e) => {
|
| 59 |
+
e.stopPropagation()
|
| 60 |
+
setSelectedLanguage(null)
|
| 61 |
+
onComplete([])
|
| 62 |
+
}
|
| 63 |
+
|
| 64 |
+
const handleContainerClick = () => {
|
| 65 |
+
setIsOpen(true)
|
| 66 |
+
if (!selectedLanguage) {
|
| 67 |
+
setTimeout(() => inputRef.current?.focus(), 100)
|
| 68 |
+
}
|
| 69 |
+
}
|
| 70 |
+
|
| 71 |
+
const handleInputChange = (e) => {
|
| 72 |
+
// If user starts typing while a language is selected, clear the selection to enable search
|
| 73 |
+
if (selectedLanguage && e.target.value.length > 0) {
|
| 74 |
+
setSelectedLanguage(null)
|
| 75 |
+
onComplete([])
|
| 76 |
+
}
|
| 77 |
+
setSearchTerm(e.target.value)
|
| 78 |
+
}
|
| 79 |
+
|
| 80 |
+
const handleKeyDown = (e) => {
|
| 81 |
+
if (e.key === 'Escape') {
|
| 82 |
+
setIsOpen(false)
|
| 83 |
+
setSearchTerm('')
|
| 84 |
+
}
|
| 85 |
+
}
|
| 86 |
+
|
| 87 |
+
const containerStyle = {
|
| 88 |
+
position: 'relative',
|
| 89 |
+
display: 'inline-block',
|
| 90 |
+
minWidth: '400px',
|
| 91 |
+
maxWidth: '600px'
|
| 92 |
+
}
|
| 93 |
+
|
| 94 |
+
const buttonStyle = {
|
| 95 |
+
color: selectedLanguage ? '#333' : '#666',
|
| 96 |
+
border: '1px solid #ddd',
|
| 97 |
+
padding: '0.75rem 1rem',
|
| 98 |
+
borderRadius: '4px',
|
| 99 |
+
fontSize: '0.95rem',
|
| 100 |
+
backgroundColor: '#fff',
|
| 101 |
+
cursor: 'pointer',
|
| 102 |
+
display: 'flex',
|
| 103 |
+
alignItems: 'center',
|
| 104 |
+
justifyContent: 'space-between',
|
| 105 |
+
width: '100%',
|
| 106 |
+
minHeight: '44px',
|
| 107 |
+
transition: 'border-color 0.2s ease, box-shadow 0.2s ease'
|
| 108 |
+
}
|
| 109 |
+
|
| 110 |
+
const inputStyle = {
|
| 111 |
+
border: 'none',
|
| 112 |
+
outline: 'none',
|
| 113 |
+
fontSize: '0.95rem',
|
| 114 |
+
width: '100%',
|
| 115 |
+
backgroundColor: 'transparent',
|
| 116 |
+
color: '#333'
|
| 117 |
+
}
|
| 118 |
+
|
| 119 |
+
const dropdownStyle = {
|
| 120 |
+
position: 'absolute',
|
| 121 |
+
top: '100%',
|
| 122 |
+
left: 0,
|
| 123 |
+
right: 0,
|
| 124 |
+
backgroundColor: '#fff',
|
| 125 |
+
border: '1px solid #ddd',
|
| 126 |
+
borderTop: 'none',
|
| 127 |
+
borderRadius: '0 0 4px 4px',
|
| 128 |
+
maxHeight: '300px',
|
| 129 |
+
overflowY: 'auto',
|
| 130 |
+
zIndex: 1000,
|
| 131 |
+
boxShadow: '0 4px 6px rgba(0, 0, 0, 0.1)'
|
| 132 |
+
}
|
| 133 |
+
|
| 134 |
+
const itemStyle = {
|
| 135 |
+
padding: '0.75rem 1rem',
|
| 136 |
+
cursor: 'pointer',
|
| 137 |
+
borderBottom: '1px solid #f0f0f0',
|
| 138 |
+
display: 'flex',
|
| 139 |
+
justifyContent: 'space-between',
|
| 140 |
+
alignItems: 'center',
|
| 141 |
+
transition: 'background-color 0.2s ease'
|
| 142 |
+
}
|
| 143 |
+
|
| 144 |
+
const clearButtonStyle = {
|
| 145 |
+
background: 'none',
|
| 146 |
+
border: 'none',
|
| 147 |
+
color: '#999',
|
| 148 |
+
cursor: 'pointer',
|
| 149 |
+
padding: '0.25rem',
|
| 150 |
+
borderRadius: '50%',
|
| 151 |
+
display: 'flex',
|
| 152 |
+
alignItems: 'center',
|
| 153 |
+
justifyContent: 'center',
|
| 154 |
+
width: '20px',
|
| 155 |
+
height: '20px',
|
| 156 |
+
fontSize: '14px',
|
| 157 |
+
marginLeft: '0.5rem'
|
| 158 |
+
}
|
| 159 |
|
| 160 |
return (
|
| 161 |
+
<div style={containerStyle} ref={dropdownRef}>
|
| 162 |
+
<div
|
| 163 |
+
style={buttonStyle}
|
| 164 |
+
onClick={handleContainerClick}
|
| 165 |
+
onMouseEnter={(e) => {
|
| 166 |
+
if (!selectedLanguage) {
|
| 167 |
+
e.target.style.borderColor = '#bbb'
|
| 168 |
+
}
|
| 169 |
}}
|
| 170 |
+
onMouseLeave={(e) => {
|
| 171 |
+
e.target.style.borderColor = '#ddd'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 172 |
}}
|
| 173 |
>
|
| 174 |
+
{selectedLanguage && !isOpen ? (
|
| 175 |
+
<>
|
| 176 |
+
<span style={{ fontWeight: '500' }}>
|
| 177 |
+
{selectedLanguage.language_name} Leaderboard
|
| 178 |
+
</span>
|
| 179 |
+
<button
|
| 180 |
+
style={clearButtonStyle}
|
| 181 |
+
onClick={handleClear}
|
| 182 |
+
onMouseEnter={(e) => {
|
| 183 |
+
e.target.style.backgroundColor = '#f0f0f0'
|
| 184 |
+
}}
|
| 185 |
+
onMouseLeave={(e) => {
|
| 186 |
+
e.target.style.backgroundColor = 'transparent'
|
| 187 |
+
}}
|
| 188 |
+
title="View overall leaderboard"
|
| 189 |
+
>
|
| 190 |
+
×
|
| 191 |
+
</button>
|
| 192 |
+
</>
|
| 193 |
+
) : isOpen ? (
|
| 194 |
+
<input
|
| 195 |
+
ref={inputRef}
|
| 196 |
+
style={inputStyle}
|
| 197 |
+
placeholder={selectedLanguage ? "Type to search other languages..." : "Type to search languages..."}
|
| 198 |
+
value={searchTerm}
|
| 199 |
+
onChange={handleInputChange}
|
| 200 |
+
onKeyDown={handleKeyDown}
|
| 201 |
+
/>
|
| 202 |
+
) : (
|
| 203 |
+
<span>Search for language-specific leaderboards...</span>
|
| 204 |
+
)}
|
| 205 |
+
{(!selectedLanguage || isOpen) && (
|
| 206 |
+
<span style={{ color: '#999', fontSize: '12px' }}>
|
| 207 |
+
{isOpen ? '▲' : '▼'}
|
| 208 |
+
</span>
|
| 209 |
+
)}
|
| 210 |
+
</div>
|
| 211 |
+
|
| 212 |
+
{isOpen && (
|
| 213 |
+
<div style={dropdownStyle}>
|
| 214 |
+
{filteredLanguages.length === 0 ? (
|
| 215 |
+
<div style={{ ...itemStyle, color: '#999', cursor: 'default' }}>
|
| 216 |
+
No languages found
|
| 217 |
+
</div>
|
| 218 |
+
) : (
|
| 219 |
+
filteredLanguages.slice(0, 20).map((language, index) => (
|
| 220 |
+
<div
|
| 221 |
+
key={language.bcp_47}
|
| 222 |
+
style={itemStyle}
|
| 223 |
+
onClick={() => handleSelect(language)}
|
| 224 |
+
onMouseEnter={(e) => {
|
| 225 |
+
e.target.style.backgroundColor = '#f8f9fa'
|
| 226 |
+
}}
|
| 227 |
+
onMouseLeave={(e) => {
|
| 228 |
+
e.target.style.backgroundColor = 'transparent'
|
| 229 |
+
}}
|
| 230 |
+
>
|
| 231 |
+
<div>
|
| 232 |
+
<div style={{ fontWeight: '500', marginBottom: '2px' }}>
|
| 233 |
+
{language.language_name} Leaderboard
|
| 234 |
+
</div>
|
| 235 |
+
<div style={{ fontSize: '0.85rem', color: '#666' }}>
|
| 236 |
+
{language.autonym}
|
| 237 |
+
</div>
|
| 238 |
+
</div>
|
| 239 |
+
<div style={{ color: '#999', fontSize: '0.8rem' }}>
|
| 240 |
+
{language.bcp_47}
|
| 241 |
+
</div>
|
| 242 |
+
</div>
|
| 243 |
+
))
|
| 244 |
+
)}
|
| 245 |
+
{filteredLanguages.length > 20 && (
|
| 246 |
+
<div style={{ ...itemStyle, color: '#999', cursor: 'default', fontStyle: 'italic' }}>
|
| 247 |
+
... and {filteredLanguages.length - 20} more languages
|
| 248 |
+
</div>
|
| 249 |
+
)}
|
| 250 |
+
</div>
|
| 251 |
+
)}
|
| 252 |
+
</div>
|
| 253 |
)
|
| 254 |
}
|
| 255 |
|
frontend/src/components/DatasetTable.js
CHANGED
|
@@ -103,7 +103,14 @@ const DatasetTable = ({ data }) => {
|
|
| 103 |
return <div style={{ fontWeight: 'bold' }}>{rowData.group}</div>
|
| 104 |
}}
|
| 105 |
groupRowsBy='group'
|
| 106 |
-
header={
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 107 |
removableSort
|
| 108 |
filters={filters}
|
| 109 |
filterDisplay='menu'
|
|
|
|
| 103 |
return <div style={{ fontWeight: 'bold' }}>{rowData.group}</div>
|
| 104 |
}}
|
| 105 |
groupRowsBy='group'
|
| 106 |
+
header={
|
| 107 |
+
<span>
|
| 108 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>Datasets</span>
|
| 109 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
| 110 |
+
Multilingual datasets used for this evaluation, and other suitable datasets
|
| 111 |
+
</span>
|
| 112 |
+
</span>
|
| 113 |
+
}
|
| 114 |
removableSort
|
| 115 |
filters={filters}
|
| 116 |
filterDisplay='menu'
|
frontend/src/components/LanguageTable.js
CHANGED
|
@@ -6,7 +6,7 @@ import { useState, useEffect } from 'react'
|
|
| 6 |
import { Slider } from 'primereact/slider'
|
| 7 |
import ScoreColumns from './ScoreColumns'
|
| 8 |
|
| 9 |
-
const LanguageTable = ({ data, selectedLanguages, setSelectedLanguages }) => {
|
| 10 |
const [filters, setFilters] = useState({
|
| 11 |
language_name: { value: null, matchMode: FilterMatchMode.EQUALS }, // via global search
|
| 12 |
family: { value: null, matchMode: FilterMatchMode.IN },
|
|
@@ -122,7 +122,14 @@ const LanguageTable = ({ data, selectedLanguages, setSelectedLanguages }) => {
|
|
| 122 |
value={data.filter(
|
| 123 |
item => !selectedLanguages.some(l => l.bcp_47 === item.bcp_47)
|
| 124 |
)}
|
| 125 |
-
header={
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 126 |
sortField='speakers'
|
| 127 |
removableSort
|
| 128 |
filters={filters}
|
|
|
|
| 6 |
import { Slider } from 'primereact/slider'
|
| 7 |
import ScoreColumns from './ScoreColumns'
|
| 8 |
|
| 9 |
+
const LanguageTable = ({ data, selectedLanguages, setSelectedLanguages, totalModels = 0 }) => {
|
| 10 |
const [filters, setFilters] = useState({
|
| 11 |
language_name: { value: null, matchMode: FilterMatchMode.EQUALS }, // via global search
|
| 12 |
family: { value: null, matchMode: FilterMatchMode.IN },
|
|
|
|
| 122 |
value={data.filter(
|
| 123 |
item => !selectedLanguages.some(l => l.bcp_47 === item.bcp_47)
|
| 124 |
)}
|
| 125 |
+
header={
|
| 126 |
+
<span>
|
| 127 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>Languages</span>
|
| 128 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
| 129 |
+
Average performance of {totalModels} evaluated AI models
|
| 130 |
+
</span>
|
| 131 |
+
</span>
|
| 132 |
+
}
|
| 133 |
sortField='speakers'
|
| 134 |
removableSort
|
| 135 |
filters={filters}
|
frontend/src/components/ModelTable.js
CHANGED
|
@@ -6,7 +6,7 @@ import { useState, useEffect } from 'react'
|
|
| 6 |
import Medal from './Medal'
|
| 7 |
import { Slider } from 'primereact/slider'
|
| 8 |
import ScoreColumns from './ScoreColumns'
|
| 9 |
-
const ModelTable = ({ data }) => {
|
| 10 |
const [filters, setFilters] = useState({
|
| 11 |
type: { value: null, matchMode: FilterMatchMode.IN },
|
| 12 |
size: { value: null, matchMode: FilterMatchMode.BETWEEN },
|
|
@@ -150,10 +150,47 @@ const ModelTable = ({ data }) => {
|
|
| 150 |
return <div style={{ textAlign: 'center' }}>${rowData.cost?.toFixed(2)}</div>
|
| 151 |
}
|
| 152 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 153 |
return (
|
| 154 |
<DataTable
|
| 155 |
value={data}
|
| 156 |
-
header={<>
|
| 157 |
sortField='average'
|
| 158 |
removableSort
|
| 159 |
filters={filters}
|
|
|
|
| 6 |
import Medal from './Medal'
|
| 7 |
import { Slider } from 'primereact/slider'
|
| 8 |
import ScoreColumns from './ScoreColumns'
|
| 9 |
+
const ModelTable = ({ data, selectedLanguages = [], allLanguages = [] }) => {
|
| 10 |
const [filters, setFilters] = useState({
|
| 11 |
type: { value: null, matchMode: FilterMatchMode.IN },
|
| 12 |
size: { value: null, matchMode: FilterMatchMode.BETWEEN },
|
|
|
|
| 150 |
return <div style={{ textAlign: 'center' }}>${rowData.cost?.toFixed(2)}</div>
|
| 151 |
}
|
| 152 |
|
| 153 |
+
const getHeaderText = () => {
|
| 154 |
+
// Count languages that have evaluation data (average score available)
|
| 155 |
+
const evaluatedLanguagesCount = allLanguages.filter(lang =>
|
| 156 |
+
lang.average !== null && lang.average !== undefined
|
| 157 |
+
).length
|
| 158 |
+
|
| 159 |
+
if (selectedLanguages.length === 0) {
|
| 160 |
+
return (
|
| 161 |
+
<span>
|
| 162 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>AI Models</span>
|
| 163 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
| 164 |
+
Average performance across {evaluatedLanguagesCount} evaluated languages
|
| 165 |
+
</span>
|
| 166 |
+
</span>
|
| 167 |
+
)
|
| 168 |
+
} else if (selectedLanguages.length === 1) {
|
| 169 |
+
return (
|
| 170 |
+
<span>
|
| 171 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>AI Models</span>
|
| 172 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
| 173 |
+
{selectedLanguages[0].language_name} performance
|
| 174 |
+
</span>
|
| 175 |
+
</span>
|
| 176 |
+
)
|
| 177 |
+
} else {
|
| 178 |
+
const languageNames = selectedLanguages.map(lang => lang.language_name).join(', ')
|
| 179 |
+
return (
|
| 180 |
+
<span>
|
| 181 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>AI Models</span>
|
| 182 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
| 183 |
+
Performance for {languageNames}
|
| 184 |
+
</span>
|
| 185 |
+
</span>
|
| 186 |
+
)
|
| 187 |
+
}
|
| 188 |
+
}
|
| 189 |
+
|
| 190 |
return (
|
| 191 |
<DataTable
|
| 192 |
value={data}
|
| 193 |
+
header={<>{getHeaderText()}</>}
|
| 194 |
sortField='average'
|
| 195 |
removableSort
|
| 196 |
filters={filters}
|
frontend/src/index.css
CHANGED
|
@@ -27,52 +27,87 @@ html, body, #root {
|
|
| 27 |
|
| 28 |
.p-datatable-wrapper {
|
| 29 |
scrollbar-color: #f0f0f0 rgba(0, 0, 0, 0);
|
| 30 |
-
border-radius: 0 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
}
|
| 32 |
|
| 33 |
#model-table {
|
| 34 |
-
border:
|
| 35 |
-
border-radius:
|
|
|
|
| 36 |
}
|
| 37 |
|
| 38 |
#model-table .p-datatable-header {
|
| 39 |
border-top-width: 0px;
|
| 40 |
-
border-radius:
|
| 41 |
-
background:
|
| 42 |
-
color:
|
|
|
|
|
|
|
|
|
|
| 43 |
}
|
| 44 |
|
| 45 |
#language-table {
|
| 46 |
-
border:
|
| 47 |
-
border-radius:
|
|
|
|
| 48 |
}
|
| 49 |
|
| 50 |
#language-table .p-datatable-header {
|
| 51 |
border-top-width: 0px;
|
| 52 |
-
border-radius:
|
| 53 |
-
background:
|
| 54 |
-
color:
|
|
|
|
|
|
|
|
|
|
| 55 |
}
|
| 56 |
|
| 57 |
#dataset-table {
|
| 58 |
-
border:
|
| 59 |
-
border-radius:
|
|
|
|
| 60 |
}
|
| 61 |
|
| 62 |
#dataset-table .p-datatable-header {
|
| 63 |
border-top-width: 0px;
|
| 64 |
-
border-radius:
|
| 65 |
-
background:
|
| 66 |
-
color:
|
|
|
|
|
|
|
|
|
|
| 67 |
}
|
| 68 |
|
| 69 |
#figure {
|
| 70 |
width: 100%;
|
| 71 |
min-width: 600px;
|
| 72 |
height: 600px;
|
| 73 |
-
border:
|
| 74 |
-
border-radius:
|
| 75 |
-
padding:
|
|
|
|
|
|
|
| 76 |
}
|
| 77 |
|
| 78 |
.p-autocomplete-input {
|
|
|
|
| 27 |
|
| 28 |
.p-datatable-wrapper {
|
| 29 |
scrollbar-color: #f0f0f0 rgba(0, 0, 0, 0);
|
| 30 |
+
border-radius: 0 0 6px 6px;
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
.p-datatable .p-datatable-tbody > tr {
|
| 34 |
+
transition: background-color 0.2s ease;
|
| 35 |
+
}
|
| 36 |
+
|
| 37 |
+
.p-datatable .p-datatable-tbody > tr:hover {
|
| 38 |
+
background-color: #fafafa !important;
|
| 39 |
+
}
|
| 40 |
+
|
| 41 |
+
.p-datatable .p-datatable-thead > tr > th {
|
| 42 |
+
border-bottom: 1px solid #e0e0e0;
|
| 43 |
+
background-color: #fafafa;
|
| 44 |
+
font-weight: 500;
|
| 45 |
+
color: #555;
|
| 46 |
+
padding: 0.75rem 1rem;
|
| 47 |
+
}
|
| 48 |
+
|
| 49 |
+
.p-datatable .p-datatable-tbody > tr > td {
|
| 50 |
+
padding: 0.75rem 1rem;
|
| 51 |
+
border-bottom: 1px solid #f5f5f5;
|
| 52 |
}
|
| 53 |
|
| 54 |
#model-table {
|
| 55 |
+
border: 2px solid #d1d5ff;
|
| 56 |
+
border-radius: 8px;
|
| 57 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
| 58 |
}
|
| 59 |
|
| 60 |
#model-table .p-datatable-header {
|
| 61 |
border-top-width: 0px;
|
| 62 |
+
border-radius: 6px 6px 0 0;
|
| 63 |
+
background: #f0f3ff;
|
| 64 |
+
color: #333;
|
| 65 |
+
border-bottom: 2px solid #d1d5ff;
|
| 66 |
+
padding: 1rem 1.25rem;
|
| 67 |
+
font-weight: 500;
|
| 68 |
}
|
| 69 |
|
| 70 |
#language-table {
|
| 71 |
+
border: 2px solid #c8f2c8;
|
| 72 |
+
border-radius: 8px;
|
| 73 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
| 74 |
}
|
| 75 |
|
| 76 |
#language-table .p-datatable-header {
|
| 77 |
border-top-width: 0px;
|
| 78 |
+
border-radius: 6px 6px 0 0;
|
| 79 |
+
background: #f0fff0;
|
| 80 |
+
color: #333;
|
| 81 |
+
border-bottom: 2px solid #c8f2c8;
|
| 82 |
+
padding: 1rem 1.25rem;
|
| 83 |
+
font-weight: 500;
|
| 84 |
}
|
| 85 |
|
| 86 |
#dataset-table {
|
| 87 |
+
border: 2px solid #ffe4cc;
|
| 88 |
+
border-radius: 8px;
|
| 89 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
| 90 |
}
|
| 91 |
|
| 92 |
#dataset-table .p-datatable-header {
|
| 93 |
border-top-width: 0px;
|
| 94 |
+
border-radius: 6px 6px 0 0;
|
| 95 |
+
background: #fff8f0;
|
| 96 |
+
color: #333;
|
| 97 |
+
border-bottom: 2px solid #ffe4cc;
|
| 98 |
+
padding: 1rem 1.25rem;
|
| 99 |
+
font-weight: 500;
|
| 100 |
}
|
| 101 |
|
| 102 |
#figure {
|
| 103 |
width: 100%;
|
| 104 |
min-width: 600px;
|
| 105 |
height: 600px;
|
| 106 |
+
border: 2px solid #e0e0e0;
|
| 107 |
+
border-radius: 8px;
|
| 108 |
+
padding: 1rem;
|
| 109 |
+
background: #fafafa;
|
| 110 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
| 111 |
}
|
| 112 |
|
| 113 |
.p-autocomplete-input {
|