Datasets:

pszemraj
/

scientific_lay_summarisation-plos-norm

Tasks:

Text2Text Generation

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ArXiv:

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pszemraj commited on Mar 29, 2023

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@@ -10,7 +10,7 @@ size_categories:
 # scientific_lay_summarisation - PLOS - normalized
-This dataset contains scientific lay summaries which have been preprocessed using the code provided in this repository. The preprocessing includes fixing punctuation and whitespace issues, and calculating the token length of each text sample using a tokenizer from the T5 model.
 ## Data Cleaning
 The text in both the "article" and "summary" columns was processed to ensure that punctuation and whitespace were consistent. The `fix_punct_whitespace` function was applied to each text sample to:

 # scientific_lay_summarisation - PLOS - normalized
+This dataset contains scientific lay summaries which have been preprocessed [with this code](https://gist.github.com/pszemraj/bd344637af7c0c10ecf4ab62c4d0ce91). The preprocessing includes fixing punctuation and whitespace issues, and calculating the token length of each text sample using a tokenizer from the T5 model.
 ## Data Cleaning
 The text in both the "article" and "summary" columns was processed to ensure that punctuation and whitespace were consistent. The `fix_punct_whitespace` function was applied to each text sample to: