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Strict shuffled copy of KantaHayashiAI/test
This dataset was produced by assigning each source row a deterministic pseudo-random sort key derived from:
- source parquet path
- row index inside that parquet
- shuffle seed
2026-04-01-strict-shuffle-v1
Rows were first partitioned into 512 buckets by the high bits of the key,
then each bucket was fully sorted by (__key_hi, __key_lo, __file_id, __row_idx).
This yields a deterministic global shuffled order without requiring the full dataset
to be materialized twice on local disk.
Expected train shard count: 512.
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