qleap/MPK1_dataset_by_NAGISA_V3
MPK1 dataset by NAGISA V3 Shogi teacher positions from self-play of the search engine attic reading the NNUE weights NAGISA_V3, carried in MPK1 — the raw record stream, one record per searched position, before duplicate boards are folded into one. This is the unprocessed input behind qleap/Knowledge_distilled_dataset_by_NAGISA_V3: no folding, no deduplication, no policy normalisation, no shuffling beyond the one the games arrived in. 2,858,094 games, 300,045,733 positions.… See the full description on the dataset page: https://huggingface.co/datasets/qleap/MPK1_dataset_by_NAGISA_V3.
docs: drop the train/val split prescription
Rename to MPK1_dataset_by_NAGISA_V3 and state the sibling repositories
Card: the USI corpus is not published; drop the revision that does not resolve
Publish the MPK1 teacher stream in 30 parts (card)
Publish the MPK1 teacher stream in 30 parts
initial commit
