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+ ---
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+ language:
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+ - en
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+ ---
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+ This tokenizer was trained on a small corpus of concatenated ARPAbet pronunciation tokens + punctuation from the python g2p_en library computed over the entire `synthbot/pony-speech` dataset and 240k lines from `generics_kb_best`, from `community-datasets/generics_kb`.
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+ i.e. `But one on one, let's clean it.` -> `BAH1T WAH1N AA1N WAH1N , LEH1TS KLIY1N IH1T .` Uses BPE with vocab size of 1024.
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+ It is trained on the same data as [https://huggingface.co/therealvul/tokenizer_g2pen](https://huggingface.co/therealvul/tokenizer_g2pen) with the following differences:
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+ - It does not split on whitespace as a token
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+ - It uses ByteLevel in pretokenization/decoding step
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+ - It uses a token vocab size of 1024 instead of 384
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