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README.md

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 ---
-license: cc0-1.0
+language:
+- es
+- ca
+- gl
+- eu
+- multilingual
+multilinguality:
+- translation
+pretty_name: escagleu-64K
+size_categories:
+- 10k<n<100k
+source_datasets:
+- original
+task_categories:
+- translation
+task_ids: []
 ---
+
+# Dataset Card for escagleu-64K corpus
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Source Data](#source-data)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Author](#author)
+  - [Contact Information](#contact-information)
+  - [Copyright](#copyright)
+  - [Licensing information](#licenciung-informatrion)
+  - [Funding](#funding)
+
+## Dataset Description
+
+### Dataset Summary
+
+escagleu-64k is a parallel corpus comprising 64,000 sentences translated among Spanish, Catalan, Valencian Catalan, Galician, and Basque.
+
+The original sentences are in Spanish and come from the [Spanish Common Voice Corpus](https://github.com/common-voice/common-voice/tree/main/server/data/es).
+
+We prepared this corpus with the aim of creating a parallel speech dataset among these languages using the [Common Voice](https://commonvoice.mozilla.org) platform between the frame of the project [Ilenia](https://proyectoilenia.es/).
+
+*Warning: The translation into Galician and Basque was done through machine translation, and post-editing is required. Additionally, we have identified some errors in the source sentences. A subsequent version of the corpus will include reviewed translations and source sentences.*
+
+This work is licensed under a [CC0 International License](https://creativecommons.org/publicdomain/zero/1.0/).
+
+### Supported Tasks and Leaderboards
+
+This dataset can be used for training Machine Translation (MT) models, Speech-to-Text translation models, and Speech-to-Speech translation models.
+
+### Languages
+
+This multilingual dataset is in Spanish (es), Catalan (ca), Valencian Catalan (ca-va), Galician (gl) and Basque (eu).
+
+## Dataset Structure
+Five separated tsv files are provided with the sentences sorted in the same order:
+
+* escagleu-64k_ca.tsv: contains 64184 sentences translated into Catalan.
+* escagleu-64k_ca_va.tsv: contains 64184 sentences adapted into Valencian Catalan.
+* escagleu-64k_es.tsv: contains 64184 sentences in Spanish (authentic).
+* escagleu-64k_gl.tsv: contains 64184 sentences translated into Galician using MT. 
+* escagleu-64k_es.tsv: contains 64184 sentences translated into Basque using MT.
+    
+In addition, a tsv is provided with the sentences aligned in all the languages:
+
+* escagleu-6k.tsv: the sentences in all the languages of the corpus.
+
+
+### Data Splits
+
+The dataset contains a single split.
+
+## Dataset Creation
+
+### Curation Rationale
+
+We created this corpus with the goal of establishing a parallel speech dataset among Spanish, Catalan, Galician, and Basque using the Common Voice platform. The resulting dataset will be employed to train Speech-to-Text and Speech-to-Speech translation models.
+
+### Source Data
+
+The original sentences are in Spanish and come from the [Spanish Common Voice Corpus](https://github.com/common-voice/common-voice/tree/main/server/data/es).
+
+#### Initial Data Collection and Normalization
+
+[COMPLETAR]
+
+Selected sentences were translated from Spanish into Catalan by a professional translation company. Subsequently, they were adapted into Valencian by an expert team from the Universitat d'Alacant.
+
+The same corpus of sentences was translated into Gallician and Basque using MT tools.
+
+A subsequent version of the corpus will include reviewed translations and source sentences.
+
+#### Who are the source language producers?
+
+The [Common Voice](https://commonvoice.mozilla.org) is a corpus designed for speech-related tasks. The recorded sentences are sourced from diverse origins. For more information, please refer to the [project repository](https://github.com/common-voice).
+
+### Annotations
+
+This corpus doesn't have annotations.
+
+#### Annotation process
+
+N/A
+
+#### Who are the annotators?
+
+N/A
+
+### Personal and Sensitive Information
+
+The original sentences are in Spanish and come from the [Spanish Common Voice Corpus](https://github.com/common-voice/common-voice/tree/main/server/data/es). To our knowledge, there are no private person’s personal identifiers or sensitive information.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+We expect that this corpus will contribute to the development of speech technologies in the targeted languages.
+
+### Discussion of Biases
+
+We are aware that some of the sentences in the corpus may convey stereotypes. Nonetheless, we have not applied any steps to reduce their impact.
+
+
+### Other Known Limitations
+
+The translation into Galician and Basque was done through machine translation, and post-editing is required. Additionally, we have identified some errors in the source sentences. A subsequent version of the corpus will include reviewed translations and source sentences.
+
+## Additional Information
+
+### Author
+Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center, ... and ....
+
+### Contact information
+For further information, please send an email to langtech@bsc.es.
+
+### Copyright
+Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).
+
+### Licensing information
+This work is licensed under a [CC](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+### Funding
+This work was funded by the SEDIA within the framework of [Ilenia](https://proyectoilenia.es/).