Datasets:

mjaso
/

flashmini-data-v1

One logical master lake; deterministic views per recipe. Flow: HF/upstream -> registry (sources.yaml + immutable source_snapshot.lock.json) -> recipe (domain weights) -> bounded cache window -> canonicalize/filter -> exact + MinHash-LSH near-dedupe -> hash-salted train/val split -> Parquet+ZSTD shards (256MiB-1GiB) -> HF publish + remote verify -> evict local -> RemoteShardDataset training with hierarchical deterministic sampling and exact resume. Corpus identity: corpus_fingerprint_sha256 (registry hash, revisions, recipe hash, filter/dedupe versions, split salt, shard hashes, tokenizer identity).