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Dataset · Hugging Face

schneiderkamplab/dala-cs-audited

DaLA Czech — audited grammar and spelling 393,609 synthetic original/corrupted pairs, selected by an automated Gemma audit. Not native-speaker validated or a gold benchmark. No paraphrasing, simplification or style-transfer task. Valid variants should not be labelled errors; model judgments remain fallible and systematic errors can survive filtering. Split Pairs Rows per task train 315,029 630,058 validation 39,163 78,326 test 39,417 78,834 Two… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/dala-cs-audited.

Author / organizationschneiderkamplab
License (as declared)other
Downloads489 (as reported by Hugging Face)
Likes0
Created28 September 2026
Last updated at source28 September 2026
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