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README.md
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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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# Dataset Card for PorSimplesSent
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The dataset has the following fields:
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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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size_categories:
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- 1K<n<10K
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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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* `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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### 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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