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  ---
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- YAML tags:
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- annotations_creators:
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- - expert-generated
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- language:
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- - pt
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- language_creators:
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- - found
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- license:
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- - cc-by-4.0
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- multilinguality:
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- - monolingual
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- pretty_name: PorSimplesSent
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  size_categories:
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  - 1K<n<10K
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- source_datasets: []
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- tags:
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- - sentence pair classification
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- - sentence retrieval
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- - readability assessment
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- - portuguese
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- task_categories:
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- - text-classification
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- task_ids: []
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  ---
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  # Dataset Card for PorSimplesSent
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  The dataset has the following fields:
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- * sentence1: the first sentence in the sentence pair (string).
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- * sentence2: the second sentence in the sentence pair (string).
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- * label: an integer indicating the relationship between the two sentences in the pair. The possible values are 0, 1, and 2, where 0 means that sentence1 is more simple than sentence2, 1 means that both sentences have the same level of complexity, and 2 means that sentence2 is more simple than sentence1 (int).
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- * production_id: an integer identifier for each sentence pair (int).
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- * level: a string indicating the level of simplification between the two sentences. The possible values are 'ORI->NAT' (original to natural), 'NAT->STR' (natural to strong), and 'ORI->STR' (original to strong) (string).
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- * changed: a string indicating whether the sentence was changed during the simplification process. The possible values are 'S' (changed) and 'N' (not changed) (string).
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- * split: a string indicating whether the sentence suffered a split in this simplification level. The possible values are 'S' (split) and 'N' (not split) (string).
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- * sentence_text_from: the raw text of the source sentence (string).
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- * sentence_text_to: the raw text of the target sentence (string).
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-
 
 
 
 
 
 
 
 
 
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  ### Data Splits
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  The dataset is split into three subsets: train, validation, and test. The sizes of each split are as follows:
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
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  size_categories:
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  - 1K<n<10K
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for PorSimplesSent
 
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  The dataset has the following fields:
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+ The dataset has the following fields:
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+
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+ * `sentence1`: the first sentence in the sentence pair (string).
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+ * `sentence2`: the second sentence in the sentence pair (string).
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+ * `label`: an integer indicating the relationship between the two sentences in the pair. The possible values are 0, 1, and 2, where 0 means that sentence1 is more simple than sentence2, 1 means that both sentences have the same level of complexity, and 2 means that sentence2 is more simple than sentence1 (int).
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+ * `production_id`: an integer identifier for each sentence pair (int).
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+ * `level`: a string indicating the level of simplification between the two sentences. The possible values are:
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+ * 'ORI->NAT' (original to natural)
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+ * 'NAT->STR' (natural to strong)
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+ * 'ORI->STR' (original to strong) (string).
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+ * `changed`: a string indicating whether the sentence was changed during the simplification process. The possible values are:
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+ * 'S' (changed)
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+ * 'N' (not changed) (string).
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+ * `split`: a string indicating whether the sentence suffered a split in this simplification level. The possible values are:
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+ * 'S' (split)
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+ * 'N' (not split) (string).
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+ * `sentence_text_from`: the raw text of the source sentence (string).
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+ * `sentence_text_to`: the raw text of the target sentence (string).
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+
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  ### Data Splits
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  The dataset is split into three subsets: train, validation, and test. The sizes of each split are as follows: