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@@ -77,6 +77,10 @@ Our internal assets scaling the synthetic personas at a global scale. We collect
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  We provide a sample of 1 millions personas across 108 countries. Our full asset includes currently 100 millions personas but is indefinitely scalable. Similarly to Wikidata, we can also provide continuous updates taking into enhanced information and demographic changes.
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- ### Twitter/X
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- Synthetic environment prepared for the subway of Paris comprising 2 millions realistic synthetic tweets in French and other foreign language. The synthetic pipeline was presented this year at ACL and is reproducible for multiple similar social media simulations. We especially designed new generators and evaluations for realistic social media emissions.
 
 
 
 
 
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  We provide a sample of 1 millions personas across 108 countries. Our full asset includes currently 100 millions personas but is indefinitely scalable. Similarly to Wikidata, we can also provide continuous updates taking into enhanced information and demographic changes.
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+ ### Synthetic alignment
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+ ### Synthetic social media
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+ We built a reusable synthetic pipeline for realistic social media simulations, with a specific focus on expression naturalness/intended noise that was presented this year at ACL
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+ Our sample include 2 millions realistic synthetic tweets used to train a model deployed in production by the subway of Paris.