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title: README
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sdk: static
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# Legend:
- **pruned** datasets are reduced in size to contain only examples in which the source paragraph and the target paragraph are not identical
- **hard** datasets have their training and test split created from separate pools of books with no overlap (so all paragraphs from a given book are contained in only a single split)
- **transduced** datasets have their training split processed by a rule-based normalizer
Models were accordingly created based on the 4 dataset variants.
# Evaluation repositories:
[https://github.com/kedudzic/pl-normalizer-evaluation](https://github.com/kedudzic/pl-normalizer-evaluation) (private)
[https://github.com/kedudzic/pl-normalizer-evaluation-just-results](https://github.com/kedudzic/pl-normalizer-evaluation-just-results) (public)
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