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## Segmentation dataset for judgments of the Supreme of Justice of Portugal
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The goal of this dataset is to train an Segmentation model that, given a judgment from the Supreme Court of Justice of Portugal (STJ), can divide its paragraphs into section of the judgment itself.
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**Dataset contents:**
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- **json files:**
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- **Judgment Text:** contains the judgment text divide into paragraphs where each paragraph is associated with a unique id
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- **Denotations:** A list of dictionaries where each dictionary have a section information
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- **id:** id of the section
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- **start:** paragraph id indicating where the section starts
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- **end:** paragraph id indicating where the section ends
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- **type:** name the section
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There are 10 possible section: **head** (*cabeçalho*) - **report** (*relatório*) - **delimitation** (*delimitação*) - **facts** (*fundamentação de facto*) - **law** (*fundamentação de direito*) - **decision** (*decisão*) - **signature** (*colectivo*) - **declaration** (*declaração*) - **foot-notes** and **titles** (*títulos*)
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There are a fold that contains the original dataset. However, there are sections that not always appear in the judgments, so we delete these section from the judgments to create variations of the original judgments (corresponds to the others directories)
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## Contributions
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- paper: Segmentation Model for Judgments of the Portuguese Supreme Court of Justice
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- accepted but not published yet
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## Segmentation Dataset for Judgments of the Supreme Court of Justice of Portugal
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The goal of this dataset is to train a segmentation model that, given a judgment from the Supreme Court of Justice of Portugal (STJ), can divide its paragraphs into sections of the judgment itself.
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- n<1K
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## Segmentation Dataset for Judgments of the Supreme Court of Justice of Portugal
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The goal of this dataset is to train a segmentation model that, given a judgment from the Supreme Court of Justice of Portugal (STJ), can divide its paragraphs into sections of the judgment itself.
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