<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/4a1f338d28f844e68d147bfa9816f34f&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4a1f338d28f844e68d147bfa9816f34f-2f1fcf19fe5f0f24.gif</thumbnail_url><duration>106.987</duration><title>Verifying Language Tagging in AI Data Factory</title><description>This Loom demonstrates how language tagging is verified in a data pipeline using matching mother tongue and other languages. The author selects Assamese as the mother tongue and then picks Hindi and English for demonstration, including doing the same steps on a phone. They emphasize that tagging happens in a specific segment, while the remaining steps are part of the gamification where a user receives an audio recording and must guess. The author briefly notes that the pipelining side of things can be discussed later.</description></oembed>