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CS336 OWT 32k BPE tokenized
Pre-tokenized OpenWebText sample (Stanford CS336 assignment 1 source) using a custom 32k byte-level BPE tokenizer.
Files
owt_vocab_32k.pkl— vocab dict[int, bytes] (32000 entries; ID 0 = <|endoftext|>, 1..256 = raw bytes, 257..31999 = merges)owt_merges_32k.pkl— list[tuple[bytes, bytes]] in merge orderowt_train.npy— uint16 token IDs of 11 GB owt_train.txt (2,729,574,028 tokens)owt_valid.npy— uint16 token IDs of 277 MB owt_valid.txt (66,458,625 tokens)
ID scheme matches cs336_basics.tokenizer.Tokenizer (special at 0).
Quickstart on RunPod
pip install -U huggingface_hub
huggingface-cli download AndrewK101/cs336-owt-32k-bpe --repo-type dataset --local-dir data
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