qleap/Knowledge_distilled_dataset_by_NAGISA_V4

NAGISA_V4 teacher shards Training data distilled from self-play of the generator attic-gensfen reading the NNUE weights NAGISA_V4 (HalfKA-2304), in the shape the trainers read directly. The engine played itself at depth 9 and MultiPV 5, recording the root score and the candidate moves at every ply; manaka-teacher turned that corpus into raw MPK1 streams, and manaka-pack folded identical positions into one row each and wrote these parquet shards. Rows: 1,221,920,925 (records… See the full description on the dataset page: https://huggingface.co/datasets/qleap/Knowledge_distilled_dataset_by_NAGISA_V4.