SEA-LION Research
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Model weights and datasets for the paper "DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer" • 6 items • Updated
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This is a training dataset for paper "DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer ". We use SEA-Instruct, which covers seven SEA languages: Indonesian, Vietnamese, Thai, Tamil, Tagalog, Malay, and Burmese. The dataset contains open-source prompts, each paired with a synthetic response and quality estimate. We sample 4,000 high-quality examples per language, as labeled by the original dataset, resulting 28,000 samples. Random sampling constraints preserve the distribution of domains, task types, and prompt complexity.
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