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--- |
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annotations_creators: [] |
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language_creators: [machine-generated] |
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language: ['ca', 'de'] |
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license: ['cc-by-4.0'] |
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multilinguality: |
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- translation |
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pretty_name: 'Catalan-German aligned corpora to train NMT systems.' |
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size_categories: |
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- 1M<n<10M |
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source_datasets: ['extended|tilde_model'] |
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task_categories: ['conditional-text-generation'] |
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task_ids: ['machine-translation'] |
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--- |
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# Dataset Card for Tilde-MODEL-Catalan |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** https://www.softcatala.org/ |
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- **Repository:** https://github.com/Softcatala/Tilde-MODEL-catalan |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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This dataset contains the German version of the Tilde-MODEL corpus aligned with a Catalan translation. |
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The catalan text has been obtained using Apertium's RBMT system from the Spanish version. It cotains 3.4M segments. |
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### Supported Tasks and Leaderboards |
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This dataset can be used to train NMT and SMT systems. |
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It has been used as a training corpus for the [Softcatalà machine translation engine](https://www.softcatala.org/traductor/). |
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### Languages |
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Catalan (`ca`). |
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German (`de`). |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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Raw text. |
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### Data Splits |
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One file for language. |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[@softcatala](https://github.com/Softcatala) |
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[@jordimas](https://github.com/jordimas) |
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[@davidcanovas](https://github.com/davidcanovas) |
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### Licensing Information |
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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[More Information Needed] |
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