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- **Homepage:** https://github.com/roemmele/AbLit
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- **Repository:** https://github.com/roemmele/AbLit
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- **Paper:** https://arxiv.org/pdf/2302.06579.pdf
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- **Point of Contact:**
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### Dataset Summary
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### Discussion of Biases
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We present this dataset to introduce abridgement as an NLP task, but these abridgements are scoped to one small set of texts associated with a specific domain and author. There are significant practical reasons for this limited scope. In particular, in constrast to the books in AbLit, most recently published books are not included in publicly accessible datasets due to copyright restrictions, and the same restrictions typically apply to any abridgements of these books. For this reason,
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### Dataset Curators
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- **Homepage:** https://github.com/roemmele/AbLit
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- **Repository:** https://github.com/roemmele/AbLit
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- **Paper:** https://arxiv.org/pdf/2302.06579.pdf
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- **Point of Contact:** [email protected]
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### Dataset Summary
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### Discussion of Biases
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We present this dataset to introduce abridgement as an NLP task, but these abridgements are scoped to one small set of texts associated with a specific domain and author. There are significant practical reasons for this limited scope. In particular, in constrast to the books in AbLit, most recently published books are not included in publicly accessible datasets due to copyright restrictions, and the same restrictions typically apply to any abridgements of these books. For this reason, AbLit consists of British English literature from the 18th and 19th centuries. Some of the linguistic properties of these original books do not generalize to other types of English texts that would be beneficial to abridge. Moreover, the narrow cultural perspective reflected in these books is certainly not representative of the diverse modern population. Readers may find some content contradictory with their own values.
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### Dataset Curators
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