AksaraLLM/aksara-sft-clean-v6
AksaraLLM SFT Clean v6 High-quality Indonesian SFT dataset distilled from Gemini 2.5 Flash Lite via Google Vertex AI, with strict quality gates. Stats Train: 16,752 items Validation: 1,098 items Total: 17,850 items Teacher model: gemini-2.5-flash-lite Task distribution Task type Count factual_qa 4,023 creative 4,003 cultural 3,927 reasoning 3,258 how_to 2,639 Method Curated ~100 Indonesian topic seeds across… See the full description on the dataset page: https://huggingface.co/datasets/AksaraLLM/aksara-sft-clean-v6.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face