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+ # Patent Boundary Notice
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+
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+ ## Scope
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+
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+ The retokenization pipeline (`retokenize_scylla.py`) included in this repository converts
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+ SentencePiece-tokenized FineWeb shards to alternative tokenizer vocabularies. The algorithm
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+ is straightforward: decode tokens to bytes, re-encode with the target tokenizer, validate
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+ byte-level roundtrip fidelity.
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+
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+ ## What is NOT covered
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+
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+ The pre-tokenized data files (`.bin` shards) in this dataset are standard binary token
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+ sequences. They do not embody any patentable method — they are the output of running a
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+ tokenizer on public data.
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+
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+ ## What MAY be covered
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+
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+ Techniques described in patent applications by Light Speed Up LLC related to:
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+ - Sensitivity-guided mixed-precision quantization
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+ - Adaptive tokenizer selection for language model compression
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+
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+ These techniques are implemented in training code (not in this dataset or retokenization tool).
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+ The Apache 2.0 license on the code grants patent rights for the code as-shipped.
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+
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+ ## Contact
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+
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+ For patent-related inquiries: mato@lightspeedup.com