jayzou3773/less-is-moe-s1-calibration-128-seq8192

Less-is-MoE S1K calibration data — 128 samples, seq_length 8192 This is the fixed calibration artifact used to prune GPT-OSS-120B, Qwen3.5-122B-A10B, and the Gemma-4-26B-A4B causal language tower. It uses the same 128 source rows as the full-length variant: yentinglin/s1K-1.1-trl-format revision 58a01564d278477da20ead1bcf1cde8e31f36251, train, followed by Dataset.shuffle(seed=1234) and the first 128 nonempty messages rows. For pruning, concatenate messages[].content with one… See the full description on the dataset page: https://huggingface.co/datasets/jayzou3773/less-is-moe-s1-calibration-128-seq8192.