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TinyStories 4K-BPE token stream
This is a deterministic, tokenized derivative used by the Ternary LLM Experiment.
The source is
roneneldan/TinyStories.
- tokenizer: byte-level BPE, vocabulary 4,096
- token dtype: little-endian
uint16 - training stories: 2,119,719
- training tokens: 488,174,163
- validation stories: 21,990
- validation tokens: 4,907,807
Each story is encoded with explicit beginning/end markers and concatenated into
train.bin or validation.bin. metadata.json records the preprocessing
parameters. The source repository contains the reader and exact preparation code.
The original dataset's terms and attribution continue to apply. This repository is provided for experiment reproducibility, not as a replacement for the source dataset card.
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