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README.md
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Results showcase for Elysium X 500 FR (public-data upgrade). Results only, no data rows. CC BY-NC-SA 4.0.
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<!doctype html><meta charset=utf-8><title>Elysium X 500 FR</title><style>
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body{font-family:Inter,Segoe UI,Arial,sans-serif;max-width:900px;margin:auto;padding:16px;background:#0f172a;color:#e2e8f0}
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<!doctype html><meta charset=utf-8><title>Elysium X 500 FR</title><meta name=viewport content="width=device-width,initial-scale=1"><style>
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body{font-family:Inter,Segoe UI,Arial,sans-serif;max-width:900px;margin:auto;padding:16px;background:#0f172a;color:#e2e8f0}
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h1,h2,h3{background:linear-gradient(90deg,#f472b6,#a78bfa,#38bdf8);-webkit-background-clip:text;color:transparent}
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@keyframes g{from{width:0}}.w{color:#fde68a}.up{color:#4ade80}.dn{color:#fb7185}a{color:#7dd3fc}</style>
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<img src=assets/banner.svg style=width:100%>
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<h1>Elysium X 500 FR: public-data upgrade</h1>
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<p>Same 500-emotion schema, weights continued-trained on the team dataset plus 8,250 mapped rows from 11 public emotion datasets.</p>
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<h2>Headline: 23.3% exact on rows without the emotion name (n=403), up from 19.4%</h2>
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<table><tr><th>Test slice (n=1,195)</th><th>Original</th><th>This release</th><th>Change</th></tr>
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<tr><td>No emotion name (n=403), headline</td><td>19.35%</td><td>23.33%</td><td class=up>+3.98</td></tr>
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<tr><td>All rows</td><td>69.54%</td><td>70.71%</td><td class=up>+1.17</td></tr>
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<tr><td>Emotion name in text (n=792)</td><td>95.08%</td><td>94.82%</td><td class=dn>-0.26 (2 of 792)</td></tr></table>
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<p class=w>We set a bar to beat all three numbers. This release beats two and misses the with-name number by 2 answers. We say so. A repeat run (with a training-loop bug) scored lower and is not released.</p>
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<h3>No-name exact by language</h3><div class=r><span>DE</span><i style='width:100.0%'></i><b>50.0%</b></div><div class=r><span>PT</span><i style='width:90.9%'></i><b>45.5%</b></div><div class=r><span>EN</span><i style='width:78.9%'></i><b>39.5%</b></div><div class=r><span>FR</span><i style='width:71.4%'></i><b>35.7%</b></div><div class=r><span>KO</span><i style='width:55.6%'></i><b>27.8%</b></div><div class=r><span>Hinglish</span><i style='width:50.0%'></i><b>25.0%</b></div><div class=r><span>ZH</span><i style='width:46.2%'></i><b>23.1%</b></div><div class=r><span>AR</span><i style='width:42.1%'></i><b>21.1%</b></div><div class=r><span>JA</span><i style='width:34.5%'></i><b>17.2%</b></div><div class=r><span>ES</span><i style='width:32.8%'></i><b>16.4%</b></div><div class=r><span>BN</span><i style='width:14.3%'></i><b>7.1%</b></div><div class=r><span>HI</span><i style='width:7.5%'></i><b>3.8%</b></div>
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<p class=w>Caveats: test covers part of the 500 coordinates; team data is synthetic and templated; labels are human-monitored, not gold; small cells per language; one run, no confidence intervals. Licence CC BY-NC-SA 4.0, non-commercial; some source datasets have unknown licences (listed on the model card). Not for medical or profiling use.</p>
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<p><a href="https://huggingface.co/open-nhe/Elysium-X-500-FR">Model</a> 路 <a href="https://huggingface.co/open-nhe/Elysium-X-500-FR-GGUF">GGUF</a> 路 <a href="https://huggingface.co/datasets/open-nhe/elysium-x-500-fr-dataset">Dataset</a> 路 <a href="https://huggingface.co/spaces/open-nhe/Elysium-X-500-FR-Paper">Paper</a></p>
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