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Datasets:
bene-ges
/
spellmapper_en_train_v1

Tasks:
Token Classification
Languages:
English
Size:
10M<n<100M
ArXiv:
License:
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  This is the training dataset used to train the first version of the SpellMapper model.
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- It consists of 33547074 training examples. Actually, [this checkpoint](https://huggingface.co/bene-ges/spellmapper_asr_customization_en) was trained only 1/3 of the full dataset.
 
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  Paper: [SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings](https://arxiv.org/abs/2306.02317)
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  ---
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  This is the training dataset used to train the first version of the SpellMapper model.
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+ It consists of 33'547'074 training examples.
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+ Actually, [this checkpoint](https://huggingface.co/bene-ges/spellmapper_asr_customization_en) was trained only 1/3 of the full dataset.
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  Paper: [SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings](https://arxiv.org/abs/2306.02317)
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