File size: 6,750 Bytes
d1a7111
 
 
 
 
11c32ae
b4a0c57
f723129
7cdde63
b54f543
f52ec6e
7cdde63
f723129
d1a7111
 
 
 
d91b022
ecf4195
2c21cf7
 
d91b022
2c21cf7
ecf4195
 
d1a7111
ecf4195
d1a7111
ecf4195
 
d1a7111
 
ecf4195
 
d1a7111
 
 
d91b022
ecf4195
59a65af
f723129
7cdde63
37ec45a
f046407
37ec45a
7cdde63
 
 
 
 
 
 
 
 
 
 
 
 
 
b4a0c57
7cdde63
 
 
 
58de179
7cdde63
 
 
 
4d13673
 
 
 
 
 
58de179
 
 
f046407
 
 
58de179
f046407
 
 
 
58de179
7cdde63
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d91b022
7cdde63
 
 
 
 
 
 
b6b84c7
2c21cf7
d91b022
 
b6b84c7
7cdde63
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f52ec6e
 
7cdde63
 
 
 
92d8154
b54f543
f52ec6e
 
7cdde63
 
 
 
 
f52ec6e
7cdde63
 
f723129
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
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 { Carousel } from 'primereact/carousel'

function App () {
  const [data, setData] = useState(null)
  const [loading, setLoading] = useState(true)
  const [error, setError] = useState(null)
  const [selectedLanguages, setSelectedLanguages] = useState([])
  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])

  return (
    <PrimeReactProvider>
      <div style={{ height: '100%', display: 'flex', flexDirection: 'column' }}>
        <div style={{backgroundColor: '#fff3cd', color: '#856404', padding: '0.75rem 1.25rem', marginBottom: '1rem', border: '1px solid #ffeeba', borderRadius: '0.25rem', textAlign: 'center'}}>
          <strong>Work in Progress:</strong> This dashboard is currently under active development. Evaluation results are not yet final.
        </div>
        <header
          style={{
            display: 'flex',
            flexDirection: 'column',
            alignItems: 'center',
            justifyContent: 'center',
            padding: '5vh 0'
          }}
        >
          <div>
            <span
              role='img'
              aria-label='Globe Emoji'
              style={{ fontSize: '70px' }}
            >
              🌍
            </span>
          </div>
          <h1 style={{ fontSize: '2.5rem', fontWeight: '700' }}>
              AI Language Proficiency Monitor
          </h1>
          <p style={{ fontSize: '1.15rem', color: '#555', marginTop: '0' }}>
            Tracking language proficiency of AI models for every language
          </p>
          {data && (
            <AutoComplete
              languages={data?.language_table}
              onComplete={items => setSelectedLanguages(items)}
            />
          )}
          <div style={{maxWidth: '600px', textAlign: 'center', marginTop: '2rem'}}>
            <p>The <i>AI Language Proficiency Monitor</i> presents comprehensive multilingual evaluation results of AI language models.</p>
            <ul style={{textAlign: 'left'}}>
              <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>
            <p>We invite the community to <a href="#">submit</a> their custom finetuned models, and to <a href="#">integrate</a> benchmarks for more languages and tasks.</p>
            <p>Benchmark results automatically refresh every night and include the most popular models on <a href="https://openrouter.ai" target="_blank" rel="noopener noreferrer">OpenRouter</a>, plus community-listed models.</p>
            <p>For a detailed methodlogy, see <a href="#">XXX</a>.</p>
            <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>, GIZ's <a href="https://www.giz.de/expertise/html/61982.html" target="_blank" rel="noopener noreferrer">FairForward</a> initiative, 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>
          </div>
        </header>
        <main
          style={{
            display: 'flex',
            flexDirection: 'row',
            flexWrap: 'wrap',
            gap: '2rem',
            alignItems: 'center',
            width: '100%',
            height: '100%',
            justifyContent: 'center',
            paddingBottom: '5vh'
          }}
        >
          {loading && (
            <i className='pi pi-spinner pi-spin' style={{ fontSize: '4rem' }} />
          )}
          {error && <p>Error: {error}</p>}
          {data && (
            <>
              <div
                style={{
                  flex: '60vw 100vw 40vw',
                  maxWidth: 'min(100vw, 800px)'
                }}
              >
                <ModelTable data={data.model_table} />
              </div>
              <div
                style={{
                  flex: '60vw 100vw 40vw',
                  maxWidth: 'min(100vw, 800px)'
                }}
              >
                <LanguageTable
                  data={data.language_table}
                  selectedLanguages={selectedLanguages}
                  setSelectedLanguages={setSelectedLanguages}
                />
              </div>
              <div
                style={{
                  flex: '60vw 100vw 40vw',
                  maxWidth: 'min(100vw, 800px)'
                }}
              >
                <DatasetTable data={data} />
              </div>
              <div
                id='figure'
                style={{
                  flex: '100vw 100vw 100vw',
                  maxWidth: 'min(100vw, 800px)',
                  alignItems: 'center',
                  justifyContent: 'center',
                  width: '100%'
                }}
              >
                <Carousel
                  value={[
                    <WorldMap data={data.countries} />,
                    <LanguagePlot data={data} />,
                    <SpeakerPlot data={data} />,
                    <HistoryPlot data={data} />,
                  ]}
                  numScroll={1}
                  numVisible={1}
                  itemTemplate={item => item}
                  circular
                  style={{ width: '100%', minHeight: '650px' }}
                />
              </div>
            </>
          )}
        </main>
      </div>
    </PrimeReactProvider>
  )
}

export default App