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---
dataset_info:
features:
- name: audio
dtype: audio
- name: text_ga
dtype: string
- name: text_en
dtype: string
splits:
- name: train
num_bytes: 4209155993
num_examples: 15090
download_size: 3452146050
dataset_size: 4209155993
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
task_categories:
- automatic-speech-recognition
- text-to-speech
- translation
language:
- ga
- en
size_categories:
- 10K<n<100K
---
# Dataset Details
Synthetic audio dataset, created using Azure text-to-speech service.
The bilingual text is a portion of the Wikimedia dataset, consisting of 7,545 text segments.
The dataset consists of two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural).
The speech data comprises approximately 34 hours and 23 minutes (34:23:12) spread across 15,090 utterances.
## Dataset Structure
```
Dataset({
features: ['audio', 'text_ga', 'text_en'],
num_rows: 15090
})
```
## Citations
* The speech dataset `Wikimedia-Speech-Irish` was created and introduced as part of the following paper:
```
@inproceedings{moslem2024leveraging,
title={Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation},
author={Moslem, Yasmin},
booktitle={Proceedings of the 2024 International Conference on Spoken Language Translation (IWSLT 2024)},
year={2024},
month={April}
}
```
* The original Wikimedia bilingual text dataset was collected by the OPUS project, introduced in the following paper:
```
@INPROCEEDINGS{Tiedemann2012-OPUS,
title = "{Parallel Data, Tools and Interfaces in {OPUS}}",
booktitle = "{Proceedings of the Eighth International Conference on Language
Resources and Evaluation ({LREC}'12)}",
author = "Tiedemann, J{\"o}rg",
publisher = "European Language Resources Association (ELRA)",
pages = "2214--2218",
month = may,
year = 2012,
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
address = "Istanbul, Turkey"
}
```