LegumMagister/chsm8-post-training

CHSM8 post-training: style labels (30M) Five natural-language style descriptions (terse, terse, short, medium, long) for one side of one game, for 30.08M side-appearances of the CHSM8 pre-training corpus. Rows join to the games on (month, row_idx), the stable game id used by all CHSM8 datasets. Exactly the labels chsm8-sft and chsm8 were trained on: every Apertus-70B label set is replaced by the clean distilled labeler (gemma-3-1b-distill-clean), and the data comes as the train… See the full description on the dataset page: https://huggingface.co/datasets/LegumMagister/chsm8-post-training.

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