We have prepared a dataset, ParagraphOrdreing, which consists of around 300,000 paragraph pairs. We collected our data from Project Gutenberg. We have written an API for gathering and pre-processing in order to have the appropriate format for the defined task. Each example contains two paragraphs and a label that determines whether the second paragraph comes really after the first paragraph (true order with label 1) or the order has been reversed.
Data Statistics: - #Train Samples 294,265 - #Test Samples 32,697 - Unique Paragraphs 239,803 - Average Number of Tokens 160.39 - Average Number of Sentences 9.31
Papers
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