{"id":5602,"date":"2026-04-09T08:54:07","date_gmt":"2026-04-09T03:24:07","guid":{"rendered":"https:\/\/newsdive.net\/?p=5602"},"modified":"2026-04-09T09:05:18","modified_gmt":"2026-04-09T03:35:18","slug":"chat2find-releases-255m-token-sri-lankan-trilingual-ai-corpus-via-hugging-face-and-lankadata","status":"publish","type":"post","link":"https:\/\/newsdive.net\/index.php\/2026\/04\/09\/chat2find-releases-255m-token-sri-lankan-trilingual-ai-corpus-via-hugging-face-and-lankadata\/","title":{"rendered":"Chat2Find Releases 255M+ Token Sri Lankan Trilingual AI Corpus via Hugging Face and LankaData"},"content":{"rendered":"\n

COLOMBO, Sri Lanka<\/strong>\u00a0 LankaData has announced the public release of the Chat2Find<\/a> Corpus, a major trilingual conversational dataset, marking a key milestone in Sri Lanka\u2019s growing AI ecosystem.<\/p>\n\n\n\n

The Chat2Find Corpus consists of over 255 Million tokens (279,248 records) in Sinhala, Tamil, and English, including code-mixed language such as Singlish and Tanglish. Designed for training and fine-tuning Large Language Models (LLMs), the dataset supports multilingual AI development in low-resource environments.<\/p>\n\n\n\n

Developed by Chat2Find and released as open-source, the dataset enables researchers, developers, and institutions to access high-quality, locally relevant data\u2014an area that has long limited AI innovation in Sri Lanka. It is released under the MIT License and is suitable for continual pre-training (CPT) and supervised fine-tuning (SFT).<\/p>\n\n\n\n

The corpus captures authentic language use and cultural context, making it especially valuable for modern natural language processing tasks. Alongside the dataset, Chat2Find has also announced upcoming AI models, including a base model and fine-tuned models optimized for trilingual understanding and reasoning.<\/p>\n\n\n\n

Access the dataset:<\/strong><\/p>\n\n\n\n