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@@ -44,15 +44,15 @@ Work developed as part of [IRIS] (https://www.inesc-id.pt/projects/PR07005/)
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  The goal of this dataset is to train an Extreme Multi-Label classifier that, given a judgment from the Supreme Court of Justice of Portugal (STJ), can associate relevant descriptors to the judgment.
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  **Dataset Contents:**
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- - Judgment ID: Unique identifier for each judgment.
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- - STJ Section: The section of the STJ to which the judgment belongs.
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- - Judgment Text: Full text of the judgment.
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- - Descriptors List: A list of binary values (0's and 1's) where 1's indicate the presence of active descriptors.
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  The dataset is organized by the sections of the STJ, and each section is further divided into training and testing subsets.
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  **Additional Files:**
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- - label.py: A Python file containing lists of descriptor names for each section. The order of these lists corresponds to the order of 0's and 1's in the dataset.
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  ## Contributions
 
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  The goal of this dataset is to train an Extreme Multi-Label classifier that, given a judgment from the Supreme Court of Justice of Portugal (STJ), can associate relevant descriptors to the judgment.
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  **Dataset Contents:**
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+ - **Judgment ID:** Unique identifier for each judgment.
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+ - **STJ Section:** The section of the STJ to which the judgment belongs.
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+ - **Judgment Text:** Full text of the judgment.
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+ - **Descriptors List:** A list of binary values (0's and 1's) where 1's indicate the presence of active descriptors.
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  The dataset is organized by the sections of the STJ, and each section is further divided into training and testing subsets.
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  **Additional Files:**
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+ - **label.py:** A Python file containing lists of descriptor names for each section. The order of these lists corresponds to the order of 0's and 1's in the dataset.
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  ## Contributions