Datasets:
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README.md
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@@ -88,9 +88,25 @@ The dataset is intended to train a Machine Translation system between Asturian a
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This dataset separates both synthetic and existing data. The existing parallel data come from OPUS (Spanish-Asturian) under their respective entities. The synthetic data consist of Spanish translations generated from the Asturian monolingual corpus of the PILAR dataset. To create the synthetic Spanish translations we used the [OPUS-MT](Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_por_spa) model.
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The data filtering
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#### Who are the source data producers?
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This dataset separates both synthetic and existing data. The existing parallel data come from OPUS (Spanish-Asturian) under their respective entities. The synthetic data consist of Spanish translations generated from the Asturian monolingual corpus of the PILAR dataset. To create the synthetic Spanish translations we used the [OPUS-MT](Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_por_spa) model.
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The data filtering process incorporated language identification using the [Idiomata Cognitor](https://github.com/transducens/idiomata_cognitor) tool. No other preprocessing steps (e.g. alignment) were used, therefore any peculiarities exist solely from the data itself. However, this is not the case for the synthetic data—peculiarities certainly exist. Notably the synthetic data was filtered twice by the language identifier.
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| | Tatoeba | OpenSubtitles | KDE4 | wikimedia | GNOME |
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| :---------:| :-----: | :-----------: | :-----: | :-------: | :----: |
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| **ast** | 159 | 17,486 | 26,023 | 45,506 | 68,668 |
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| **langid** | 94 | 8,091 | 12,025 | 39,958 | 37,551 |
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*Table 1: Parallel Data.*
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<br>
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<br>
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| | PILAR - literary | PILAR - crawled |
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| :---------: | :--------------: | :-------------: |
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| **ast** | 14,776 | 24,094 |
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| **langid (ast)** | 10,538 | 17,121 |
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| **langid (es)** | 9,329 | 15,409 |
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*Table 2: Monolingual Data.*
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#### Who are the source data producers?
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