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Datasets:
gplsi
/
dogv_parallel

Tasks:
Translation
Modalities:
Text
Formats:
csv
Languages:
va
Spanish
Size:
1M - 10M
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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+ ---
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+ license:
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+ - apache-2.0
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+ task_categories:
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+ - translation
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+ language:
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+ - va
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+ - es
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+ size_categories:
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+ - 100K<n<1M
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+ dataset_info:
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+ - config_name: parallel-va-es
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+ features:
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+ - name: VA
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+ dtype: string
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+ - name: ES
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+ dtype: string
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+ - name: source
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+ dtype: string
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+ splits:
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+ - name: "2009"
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+ num_examples: 375734
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+ - name: "1997"
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+ num_examples: 125767
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+ - name: "1990-1985"
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+ num_examples: 132055
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+ - name: "2022"
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+ num_examples: 378759
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+ - name: "2013"
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+ num_examples: 334298
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+ - name: "2011"
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+ num_examples: 326666
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+ - name: "2024"
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+ num_examples: 358473
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+ - name: "2001"
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+ num_examples: 210666
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+ - name: "2014"
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+ num_examples: 269492
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+ - name: "2003"
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+ num_examples: 241561
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+ - name: "2007"
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+ num_examples: 363819
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+ - name: "2004"
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+ num_examples: 272243
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+ - name: "2019"
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+ num_examples: 297602
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+ - name: "2015"
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+ num_examples: 247033
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+ - name: "2010"
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+ num_examples: 380157
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+ - name: "2023"
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+ num_examples: 439549
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+ - name: "2006"
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+ num_examples: 331521
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+ - name: "2000"
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+ num_examples: 199049
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+ - name: "1999"
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+ num_examples: 195140
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+ - name: "2012"
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+ num_examples: 300893
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+ - name: "2008"
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+ num_examples: 465082
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+ - name: "2018"
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+ num_examples: 311955
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+ - name: "2002"
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+ num_examples: 251013
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+ - name: "1996-1990"
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+ num_examples: 264180
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+ - name: "2016"
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+ num_examples: 264549
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+ - name: "1998"
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+ num_examples: 197147
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+ - name: "1980-1978"
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+ num_examples: 3336
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+ - name: "2005"
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+ num_examples: 285863
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+ - name: "2017"
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+ num_examples: 321466
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+ - name: "1985-1980"
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+ num_examples: 37663
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+ - name: "2020"
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+ num_examples: 264377
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+ - name: "2021"
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+ num_examples: 312130
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+ download_size: 3697692000
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+ configs:
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+ - config_name: parallel-va-es
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+ sep: "\t"
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+ data_files:
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+ - split: "2009"
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+ path: parallel-va-es/2009.tsv
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+ - split: "1997"
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+ path: parallel-va-es/1997.tsv
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+ - split: "1990-1985"
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+ path: parallel-va-es/1990-1985.tsv
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+ - split: "2022"
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+ path: parallel-va-es/2022.tsv
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+ - split: "2013"
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+ path: parallel-va-es/2013.tsv
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+ - split: "2011"
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+ path: parallel-va-es/2011.tsv
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+ - split: "2024"
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+ path: parallel-va-es/2024.tsv
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+ - split: "2001"
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+ path: parallel-va-es/2001.tsv
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+ - split: "2014"
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+ path: parallel-va-es/2014.tsv
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+ - split: "2003"
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+ path: parallel-va-es/2003.tsv
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+ - split: "2007"
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+ path: parallel-va-es/2007.tsv
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+ - split: "2004"
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+ path: parallel-va-es/2004.tsv
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+ - split: "2019"
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+ path: parallel-va-es/2019.tsv
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+ - split: "2015"
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+ path: parallel-va-es/2015.tsv
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+ - split: "2010"
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+ path: parallel-va-es/2010.tsv
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+ - split: "2023"
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+ path: parallel-va-es/2023.tsv
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+ - split: "2006"
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+ path: parallel-va-es/2006.tsv
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+ - split: "2000"
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+ path: parallel-va-es/2000.tsv
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+ - split: "1999"
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+ path: parallel-va-es/1999.tsv
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+ - split: "2012"
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+ path: parallel-va-es/2012.tsv
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+ - split: "2008"
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+ path: parallel-va-es/2008.tsv
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+ - split: "2018"
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+ path: parallel-va-es/2018.tsv
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+ - split: "2002"
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+ path: parallel-va-es/2002.tsv
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+ - split: "1996-1990"
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+ path: parallel-va-es/1996-1990.tsv
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+ - split: "2016"
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+ path: parallel-va-es/2016.tsv
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+ - split: "1998"
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+ path: parallel-va-es/1998.tsv
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+ - split: "1980-1978"
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+ path: parallel-va-es/1980-1978.tsv
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+ - split: "2005"
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+ path: parallel-va-es/2005.tsv
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+ - split: "2017"
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+ path: parallel-va-es/2017.tsv
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+ - split: "1985-1980"
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+ path: parallel-va-es/1985-1980.tsv
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+ - split: "2020"
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+ path: parallel-va-es/2020.tsv
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+ - split: "2021"
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+ path: parallel-va-es/2021.tsv
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+ ---
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+
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+ # DOGV_PARALLEL
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+
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+ ## Dataset Summary
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+
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+ DOGV_PARALLEL is a parallel dataset for Valencian (VA) to Spanish (ES) translation. It consists of sentence pairs in Valencian and Spanish, along with the source file from which the data was extracted. This dataset is designed to support machine translation tasks and linguistic research.
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+
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+ ## Dataset Structure
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+
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+ Each row in the dataset includes the following columns:
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+
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+ - **VA**: A sentence in Valencian.
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+ - **ES**: The corresponding translation of the Valencian sentence in Spanish.
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+ - **Source**: The name of the source file from which the sentence pair was extracted.
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+
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+ ## Funding
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+
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+ This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA.