---
license: mit
language: en
tags: [cs336, openwebtext, bpe, tokenized]
---
# 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 order
- `owt_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
```