license:mit size_categories:1K<n<10K format:audiofolder modality:audio library:datasets library:mlcroissant region:us
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license: mit
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# Dataset Card for QuEsT

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The Quechua Spanish Translations dataset (QuEsT) is a language pair dataset of quechua sentences and its translations to spanish.

## Dataset Details

### Dataset Description

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The QuEsT Dataset is conformed of two subsets: train and test. In this section we are going to refer as dataset to the train subset only.

The dataset consists of pairs of audios and their transcriptions in the languages of Quechua Cuzco (quz) and Spanish (spa), each pair being conformed by the translation of the sentences from one language to the other.

We were able to collect about 42 minutes of Quechua and 34 minutes of Spanish from 6 speakers, being 2 men and 4 women.
Around 49 minutes (64% of the audio) were recorded from women, while around 27, (36%) from men.


- **Curated by:** Alex Steve Chung Alvarez
- **Funded by:** Vicerrectorate of Research from National University of Engineering, Lima - Peru
- **Shared by:** Alex Steve Chung Alvarez
- **Language(s) (NLP):** quechua, spanish
- **License:** MIT


## Uses

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### Direct Use

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The aim of this dataset is to train text-to-speech models and machine translation models with quechua and/or spanish languages.

## Dataset Structure

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### Quest
 - train
   - speaker_name
     - transcripts.txt
     - language id (qu, es)
       - *audio_files.wav
 - test
   - languag id (qu, es)
     - *audio_files.wav

## Dataset Creation

### Source Data

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Crowdsourced data of quechua speakers from Cusco.


## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]


## Dataset Card Authors [optional]

Alex Steve Chung Alvarez

## Dataset Card Contact

schunga@uni.pe