The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
climbmix_phrase_v1
ClimbMix (karpathy/climbmix-400b-shuffle, the same corpus split and val text as
ChrisMcCormick/climbmix_unigram16k_14_170) re-tokenized with a phrase vocabulary of
1,483,965 ids built on top of priml's 16,384-piece byte-level Unigram: the 16K pieces keep
their ids, and 1,467,581 phrase entries follow, each a sequence of 2-8 pieces. Built by
rounds of batched pair merges over the 16K id stream of train shards 1-10 (1.0B tokens):
frequency order, a PMI floor of 1 bit, min count 32, 150K merges per round, at most 8 pieces
per entry, then entries used fewer than 32 times fall back to their parents (56,253 of them).
Held out, the val shard goes from 57.0M to 26.6M tokens: 9.50 bytes per token against the
16K tokenizer's 4.43 (2.14x); 73% of the entries span a word boundary.
climbmix/train_0000NN.bin,climbmix/val_000000.bin: decoder-rtx's.binlayout with a 256-int32 header (magic 20240520, version 2, num_tokens) and int32 tokens (version 1 is the uint16 layout). Each document opens with BOS (id 16,368). Train shards 1-10 are the build corpus; 11-13 were rewritten through the same vocabulary without being part of it.vocab/v1-pmi1-32.npz:entry_pieces/entry_offsets(each phrase id's 16K pieces, in dense id order from 16,384),dense_nbytes(bytes per id, the decoded-token convention),dense_npieces, and everything the builder's apply-only mode needs to rewrite more shards (parents,pruned,remap, the per-round merge tables).vocab/v1-pmi1-32.json: the build summary. Decode an id by decoding its pieces with the 16Ktokenizer.json.
Builder and logs: agent-ops-stacks/encoder-rtx/2026-11-08_0739am_phrase-vocab-sampled-head/
(build_phrase_vocab-01-gpu.py, box_v1.sh, box_rewrite.sh).
- Downloads last month
- 44