Ai2 @ai2.bsky.social · 26/08/2026A Thai research team adapted our Dolma data-curation toolkit to build Mangosteen, a 47B-token corpus for Thai LLMs. They used Dolma to filter widely used web datasets into a smaller corpus that improved Thai LLM performance despite using less data. 🧵 buff.ly/fvLSIru 1161
Ai2 @ai2.bsky.social · 26/08/2026The team saw a problem with existing Thai pretraining data: it often leaned heavily on web crawls, hadn’t been extensively audited by Thai speakers, and missed useful sources like books, research papers, authoritative sites, & YouTube subtitles. 100
Ai2 @ai2.bsky.social · 26/08/2026Dolma gave the team a strong starting point, so they didn’t have to build a data-curation pipeline from scratch. Because it’s open, they could keep what worked and change what didn’t for Thai—including deduplication, quality filters, & language-specific tools. 100