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  The NLPre dataset aims at fairly dividing the paragraphs length-wise and topic-wise into train, development, and test sets. Thus, we ensure a similar number of segments distribution per paragraph and avoid the situation when paragraphs with a small (or large) number of segments are available only e.g. during test time.
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- <a style="text-align: center;" href="http://huggingface.co/datasets/ipipan/nlprepl" class="btn btn-primary btn-lg active" role="button" aria-pressed="true">&#129303; NLPre-PL Dataset</a>
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- <a style="text-align: center;"href="http://git.nlp.ipipan.waw.pl/alina/PDBUD" class="btn btn-primary btn-lg active" role="button" aria-pressed="true">&#129303; PDB-UD Dataset</a>
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  </p>
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  <div><p></p></div>
 
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  The NLPre dataset aims at fairly dividing the paragraphs length-wise and topic-wise into train, development, and test sets. Thus, we ensure a similar number of segments distribution per paragraph and avoid the situation when paragraphs with a small (or large) number of segments are available only e.g. during test time.
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  </p>
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  <p>
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+ <a style="text-align: center;" href="https://huggingface.co/datasets/ipipan/nlprepl" target="_blank" class="btn btn-primary btn-lg active" role="button" aria-pressed="true">&#129303; NLPre-PL Dataset</a>
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+ <a style="text-align: center;"href="https://git.nlp.ipipan.waw.pl/alina/PDBUD" target="_blank" class="btn btn-primary btn-lg active" role="button" aria-pressed="true">&#129303; PDB-UD Dataset</a>
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  </p>
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  <div><p></p></div>