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license: gpl-3.0
language:
- qu
- es
---
# Dataset Card for QuEsT
<!-- Provide a quick summary of the dataset. -->
The Quechua Spanish Translations dataset (QuEsT) is a language pair dataset of quechua sentences and its translations to spanish.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
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.
- **Language(s) (NLP):** quechua, spanish
- **License:** GPLv3 due to inclusion of GPL-licensed materials
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### 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
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
### Quest
- train
- speaker_name
- transcripts.txt
- language id (qu, es)
- *audio_files.wav
- test
- language id (qu, es)
- *audio_files.wav
## Dataset Creation
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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] |