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The second (shorter) part is the number of the paragraph. Since the Yle Selkosuomi articles usually consist of multiple paragraphs, each paragraph describing a separate piece of news, we represent each paragraph as an individual little article in our dataset. Paragraph numbering starts with 0.\n- index_in_regular: The identifier of the regular Finnish article taken from the original dataset.\n- selko_text: A piece of news in Easy Finnish.\n- regular_text: A corresponding piece of news in regular Finnish.\n- distance: The cosine distance between the document vectors. 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Each document has the following columns:\n1.1) pair_id: an id comprised of three parts divided by a double underscore: the id of the regular document, the id of the Easy Finnish document (with a singular underscore), and the sentence pair number.\n1.2) regular_string: a sentence from the regular Finnish article.\n1.3) selko_string: a corresponding sentence from the Easy Finnish article.\n1.4) score: the confidence score given by Vecalign. The lower the score, the more similar the sentences. The \"good\" pairs are estimated to have a score below or equal to 0.65; however, the score is not definitive proof of whether the sentences in the pair truly match in meaning. The zero score is assigned when a sentence has no pair. The scores for all non-zero sentence pairs in manually aligned documents are set to 0.(3).\n2) Golden sentence alignments: 50 documents aligned manually by a human assessor (text). 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