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ByteSpanTokenisers
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finewebedu-20B

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FineWebEDU 20B

A copy of FineWebEDU-20B used for out tokenizer experiments. The subsets are as follows:

bytelevel: the full dataset tokenized using our bytelevel tokenizer
bytelevel-subset_1: a 100k-row subset of the bytelevel subset, used to train bytelevel models.
bytelevel-subset_2: a 100k-row subset of the bytelevel subset, used to extract llm predictions.
bytelevel-llm-data: a copy of bytelevel-subset_2 with lm predictions, used to train bytespan tokenizers
bytelevel-subset_3: a 100k-row subset of the bytelevel subset, used to evaluate trained tokenizers

The remaining subsets are all versions of the dataset tokenized with our trained tokenizers:

BPE_64000
BPEWP_64000
ByteSpanSurprisalMonotonicFrequency_64000
ByteSpanSurprisalMonotonicSeeding_64000
ByteSpanSurprisalCombinedFrequency_64000
ByteSpanSurprisalCombinedSeeding_64000
ByteSpanSurprisalGlobalIncrement_64000