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@@ -43,7 +43,7 @@ task_ids: []
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  ### Dataset Summary
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- The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., Machine Translation.
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  ### Supported Tasks and Leaderboards
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@@ -71,25 +71,26 @@ The dataset contains a single split: `train`.
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  ### Source Data
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- The dataset is a combination of the following datasets:
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-
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- | Dataset | Sentences |
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- |-------------------|-----------|
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- | CCMatrix v1 | 3.765.459 |
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- | WikiMatrix | 317.649 |
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- | GNOME | 1.752 |
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- | KDE4 | 117.828 |
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- | QED | 43.736 |
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- | TED2020 v1 | 41.461 |
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- | OpenSubtitles | 235.604 |
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- | GlobalVoices | 3.430 |
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- | Tatoeba | 723 |
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- | Europarl | 3.765.459 |
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- | **Total** | **6.159.631** |
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  All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/).
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  The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
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  ### Data preparation
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  ### Dataset Summary
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+ The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of **9 892 953** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., Machine Translation.
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  ### Supported Tasks and Leaderboards
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  ### Source Data
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+ The dataset is a combination of the following authentic datasets:
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+
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+ | Dataset | Sentences |
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+ |---------------|-----------|
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+ | CCMatrix v1 | 3.765.459 |
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+ | WikiMatrix | 317.649 |
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+ | GNOME | 1.752 |
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+ | KDE4 | 117.828 |
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+ | QED | 43.736 |
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+ | TED2020 v1 | 41.461 |
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+ | OpenSubtitles | 235.604 |
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+ | GlobalVoices | 3.430 |
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+ | Tatoeba | 723 |
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+ | Europarl | 3.765.459 |
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+ | **Total** | **6.159.631** |
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  All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/).
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  The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
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+ The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese corpora available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the PlanTL es-ca model
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  ### Data preparation
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