A dataset for training and evaluating Kyrgyz text normalization systems. Released subset accompanying "Kyrgyz Text Normalization: A Comparative Study of Neural and Rule-Based Approaches" (MeLLM Workshop @ ACL 2026).
This is a representative 20,000-pair subset of a larger 1.67M-pair training corpus, plus the full 1,000-example human-verified test set used in the paper.
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Examples
Source
Verification… See the full description on the dataset page:
https://huggingface.co/datasets/Zarinaaa/kyrgyz-text-normalization.