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---
license: cc-by-4.0
language:
- en
task_categories:
- token-classification
size_categories:
- 10M<n<100M
---
This is the training dataset used to train the first version of the SpellMapper model.
It consists of 33'547'074 training examples.
Actually, [this checkpoint](https://huggingface.co/bene-ges/spellmapper_asr_customization_en) was trained only 1/3 of the full dataset.
Paper: [SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings](https://arxiv.org/abs/2306.02317)
## Citation
```bibtex
@inproceedings{inproceedings,
author = {Antonova, Alexandra and Bakhturina, Evelina and Ginsburg, Boris},
year = {2023},
month = {08},
pages = {1404-1408},
title = {SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings},
doi = {10.21437/Interspeech.2023-768}
}
``` |