govtech/RabakBench

RabakBench RabakBench contains 5 364 short texts (1,341 per language) spanning Singlish, Chinese, Malay, and Tamil. This repo contains the public set which is 132 samples per language. Each sample is multi-labelled for six harm categories with explicit severity levels. Sources combine in-the-wild forum snippets, adversarial prompts generated by LLMs, and high-fidelity human-validated translations. This repository also contains human-verified translations for the four languages.… See the full description on the dataset page: https://huggingface.co/datasets/govtech/RabakBench.

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