File size: 15,124 Bytes
d1a7111 11c32ae b4a0c57 f723129 7cdde63 b54f543 f52ec6e a73f888 7cdde63 941d5c5 f723129 d1a7111 d91b022 941d5c5 760c6c6 941d5c5 ecf4195 2c21cf7 d91b022 2c21cf7 ecf4195 d1a7111 ecf4195 d1a7111 ecf4195 d1a7111 ecf4195 d1a7111 d91b022 ecf4195 941d5c5 59a65af f723129 3fbff09 fe700d4 3fbff09 fe700d4 3fbff09 abd65a6 fe700d4 3fbff09 fe700d4 3fbff09 fe700d4 760c6c6 37ec45a 7cdde63 760c6c6 7cdde63 760c6c6 b4a0c57 7cdde63 3fbff09 7cdde63 3fbff09 760c6c6 7cdde63 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 0044d85 760c6c6 3fbff09 4d13673 7cdde63 760c6c6 7cdde63 760c6c6 7cdde63 760c6c6 3fbff09 760c6c6 7cdde63 3fbff09 7cdde63 941d5c5 7cdde63 941d5c5 3fbff09 941d5c5 3fbff09 941d5c5 7cdde63 92d8154 b54f543 f52ec6e 3fbff09 7cdde63 f52ec6e 7cdde63 f723129 7cdde63 941d5c5 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 3fbff09 760c6c6 941d5c5 53d2039 941d5c5 3fbff09 941d5c5 7cdde63 f723129 d1a7111 59a65af d1a7111 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 |
import { useState, useEffect } from 'react'
import { PrimeReactProvider } from 'primereact/api'
import 'primereact/resources/themes/lara-light-cyan/theme.css'
import ModelTable from './components/ModelTable'
import LanguageTable from './components/LanguageTable'
import DatasetTable from './components/DatasetTable'
import WorldMap from './components/WorldMap'
import AutoComplete from './components/AutoComplete'
import LanguagePlot from './components/LanguagePlot'
import SpeakerPlot from './components/SpeakerPlot'
import HistoryPlot from './components/HistoryPlot'
import CostPlot from './components/CostPlot'
import { Carousel } from 'primereact/carousel'
import { Dialog } from 'primereact/dialog'
import { Button } from 'primereact/button'
function App () {
const [data, setData] = useState(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState(null)
const [selectedLanguages, setSelectedLanguages] = useState([])
const [dialogVisible, setDialogVisible] = useState(false)
const [aboutVisible, setAboutVisible] = useState(false)
const [contributeVisible, setContributeVisible] = useState(false)
useEffect(() => {
fetch('/api/data', {
method: 'POST',
body: JSON.stringify({ selectedLanguages })
})
.then(response => {
if (!response.ok) {
throw new Error('Network response was not ok')
}
return response.json()
})
.then(jsonData => {
setData(jsonData)
setLoading(false)
})
.catch(err => {
setError(err.message)
setLoading(false)
})
}, [selectedLanguages])
const [windowWidth, setWindowWidth] = useState(window.innerWidth)
const [windowHeight, setWindowHeight] = useState(window.innerHeight)
useEffect(() => {
const handleResize = () => {
setWindowWidth(window.innerWidth)
setWindowHeight(window.innerHeight)
}
window.addEventListener('resize', handleResize)
return () => window.removeEventListener('resize', handleResize)
}, [])
return (
<PrimeReactProvider>
<div
style={{
minHeight: '100vh',
display: 'flex',
flexDirection: 'column',
width: '100vw'
}}
>
<div
style={{
backgroundColor: '#fff3cd',
color: '#856404',
padding: '1rem 1.5rem',
marginBottom: '1rem',
border: '1px solid #ffeeba',
borderRadius: '0.25rem',
textAlign: 'center',
lineHeight: '1.5',
position: 'relative'
}}
>
<strong>Work in Progress:</strong> This dashboard is currently under
active development. Evaluation results are not yet final. Note that the visualised results currently stem from sampling 10 instances per combination of model, task, and language. Only the top 100 languages by speaker count are included. More extensive evaluation runs will be released later this year.
</div>
<div
style={{
display: 'flex',
justifyContent: 'flex-end',
padding: '0 1.5rem',
marginBottom: '1rem'
}}
>
<a
href='https://github.com/datenlabor-bmz/ai-language-monitor'
target='_blank'
rel='noopener noreferrer'
style={{
textDecoration: 'none',
color: '#6c757d',
fontSize: '1rem',
fontWeight: '500',
padding: '0.5rem 1rem',
borderRadius: '0.375rem',
backgroundColor: '#f8f9fa',
border: '1px solid #e9ecef',
display: 'flex',
alignItems: 'center',
gap: '0.5rem',
transition: 'all 0.2s ease',
':hover': {
backgroundColor: '#e9ecef',
color: '#495057'
}
}}
>
<i className='pi pi-github' title='View on GitHub' />
GitHub
</a>
</div>
<header
style={{
display: 'flex',
flexDirection: 'column',
alignItems: 'center',
justifyContent: 'center',
padding: '5vh 5vw',
width: '100%',
maxWidth: '1400px',
margin: '0 auto'
}}
>
<div>
<span
role='img'
aria-label='Globe Emoji'
style={{ fontSize: '40px' }}
>
π
</span>
</div>
<h1
style={{
fontSize: '2.5rem',
fontWeight: '600',
margin: '1rem 0 0.5rem 0',
color: '#333',
letterSpacing: '-0.01em'
}}
>
AI Language Proficiency Monitor
</h1>
<p
style={{
fontSize: '1.1rem',
color: '#666',
margin: '0 0 2.5rem 0',
fontWeight: '400',
maxWidth: '700px',
lineHeight: '1.5'
}}
>
Comprehensive multilingual evaluation results for AI language models
</p>
<div
style={{
display: 'flex',
gap: '1rem',
marginBottom: '1.5rem',
flexWrap: 'wrap',
justifyContent: 'center'
}}
>
<Button
label='π About this tool'
className='p-button-text'
onClick={() => setAboutVisible(true)}
style={{
color: '#666',
border: '1px solid #ddd',
padding: '0.5rem 1rem',
borderRadius: '4px',
fontSize: '0.9rem'
}}
/>
<Button
label='π Add your model (soon)'
className='p-button-text'
onClick={() => setContributeVisible(true)}
tooltip='This feature is on our roadmap and will be available soon.'
tooltipOptions={{ position: 'bottom' }}
style={{
color: '#666',
border: '1px solid #ddd',
padding: '0.5rem 1rem',
borderRadius: '4px',
fontSize: '0.9rem'
}}
/>
</div>
{data && (
<AutoComplete
languages={data?.language_table}
onComplete={items => setSelectedLanguages(items)}
/>
)}
</header>
<main
style={{
display: 'flex',
flexDirection: 'column',
gap: '3rem',
width: '100%',
paddingBottom: '5vh',
padding: '1rem 15vw 5vh 15vw'
}}
>
{loading && (
<div style={{ width: '100%', textAlign: 'center' }}>
<i
className='pi pi-spinner pi-spin'
style={{ fontSize: '4rem' }}
/>
</div>
)}
{error && (
<div style={{ width: '100%', textAlign: 'center' }}>
<p>Error: {error}</p>
</div>
)}
{data && (
<>
<ModelTable
data={data.model_table}
selectedLanguages={selectedLanguages}
allLanguages={data.language_table || []}
/>
<LanguageTable
data={data.language_table}
selectedLanguages={selectedLanguages}
setSelectedLanguages={setSelectedLanguages}
totalModels={data.model_table?.length || 0}
/>
<DatasetTable data={data} />
<div
id='figure'
style={{
width: '100%',
position: 'relative'
}}
>
<Button
icon='pi pi-external-link'
className='p-button-text p-button-plain'
onClick={() => setDialogVisible(true)}
tooltip='Open in larger view'
style={{
position: 'absolute',
top: '10px',
right: '10px',
zIndex: 1,
color: '#666'
}}
/>
<Carousel
value={[
<WorldMap data={data.countries} />,
<LanguagePlot data={data} />,
<SpeakerPlot data={data} />,
<HistoryPlot data={data} />,
<CostPlot data={data} />
]}
numScroll={1}
numVisible={1}
itemTemplate={item => item}
circular
style={{ width: '100%', minHeight: '650px' }}
/>
</div>
</>
)}
</main>
{/* About Dialog */}
<Dialog
visible={aboutVisible}
onHide={() => setAboutVisible(false)}
style={{ width: '600px' }}
modal
header='About this tool'
>
<div>
<p>
The <i>AI Language Proficiency Monitor</i> presents comprehensive
multilingual evaluation results of AI language models.
</p>
<h4>Who is this for?</h4>
<ul>
<li>
<b>Practitioners</b> can pick the best model for a given
language.
</li>
<li>
<b>Policymakers and funders</b> can identify and prioritize
neglected languages.
</li>
<li>
<b>Model developers</b> can compete on our{' '}
<i>AI Language Proficiency</i> metric.
</li>
</ul>
<h4>β‘ Live Updates</h4>
<p>
Benchmark results automatically refresh every night and include
the most popular models from{' '}
<a
href='https://openrouter.ai'
target='_blank'
rel='noopener noreferrer'
>
OpenRouter
</a>
, plus community-submitted models.
</p>
<h4>Authors</h4>
<p>
The AI Language Proficiency Monitor is a collaboration between
BMZ's{' '}
<a
href='https://www.bmz-digital.global/en/overview-of-initiatives/the-bmz-data-lab/'
target='_blank'
rel='noopener noreferrer'
>
Data Lab
</a>
, the BMZ-Initiative{' '}
<a
href='https://www.bmz-digital.global/en/overview-of-initiatives/fair-forward/'
target='_blank'
rel='noopener noreferrer'
>
Fair Forward
</a>{' '}
(implemented by GIZ), and the{' '}
<a
href='https://www.dfki.de/en/web/research/research-departments/multilinguality-and-language-technology/ee-team'
target='_blank'
rel='noopener noreferrer'
>
E&E group
</a>{' '}
of DFKI's Multilinguality and Language Technology Lab.
</p>
<h4>π Links</h4>
<p>
<a
href='https://github.com/datenlabor-bmz/ai-language-monitor'
target='_blank'
rel='noopener noreferrer'
style={{
color: '#666',
textDecoration: 'none',
display: 'inline-flex',
alignItems: 'center',
gap: '0.5rem'
}}
>
<i className='pi pi-github' style={{ fontSize: '1.2rem' }} />
View source code on GitHub
</a>
</p>
</div>
</Dialog>
{/* Contribute Dialog */}
<Dialog
visible={contributeVisible}
onHide={() => setContributeVisible(false)}
style={{ width: '600px' }}
modal
header='Add your model & Contribute'
>
<div>
<h4>π Submit Your Model</h4>
<p>
Have a custom fine-tuned model you'd like to see on the
leaderboard?
</p>
<p>
<a
href='https://forms.gle/ckvY9pS7XLcHYnaV8'
target='_blank'
rel='noopener noreferrer'
style={{ color: '#28a745', fontWeight: 'bold' }}
>
β Submit your model here
</a>
</p>
<h4>π§ Contribute to Development</h4>
<p>
Help us expand language coverage and add new evaluation tasks:
</p>
<p>
<a
href='https://github.com/datenlabor-bmz/ai-language-monitor/blob/main/CONTRIBUTING.md'
target='_blank'
rel='noopener noreferrer'
style={{ color: '#007bff', fontWeight: 'bold' }}
>
β Contribution guidelines
</a>
</p>
</div>
</Dialog>
{/* Full-screen Dialog for Charts */}
<Dialog
visible={dialogVisible}
onHide={() => setDialogVisible(false)}
style={{ width: '90vw', height: '90vh' }}
maximizable
modal
header={null}
>
{data && (
<div style={{ width: '100%', height: '100%' }}>
<Carousel
value={[
<WorldMap
data={data.countries}
width={windowWidth * 0.7}
height={windowHeight * 0.6}
/>,
<LanguagePlot
data={data}
width={windowWidth * 0.7}
height={windowHeight * 0.6}
/>,
<SpeakerPlot
data={data}
width={windowWidth * 0.7}
height={windowHeight * 0.6}
/>,
<HistoryPlot
data={data}
width={windowWidth * 0.7}
height={windowHeight * 0.6}
/>,
<CostPlot data={data} />
]}
numScroll={1}
numVisible={1}
itemTemplate={item => item}
circular
style={{ width: '100%', height: 'calc(90vh - 120px)' }}
/>
</div>
)}
</Dialog>
</div>
</PrimeReactProvider>
)
}
export default App
|