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---
language:
- ga
- en
size_categories:
- 1K<n<10K
task_categories:
- automatic-speech-recognition
- text-to-speech
- translation
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: text_ga
dtype: string
- name: text_en
dtype: string
- name: text_en_raw
dtype: string
- name: pronunciation
dtype: string
- name: url
dtype: string
splits:
- name: train
num_bytes: 155452186.824
num_examples: 6149
download_size: 153741856
dataset_size: 155452186.824
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Details
This dataset was originally created by [Bitesize Irish](https://www.bitesize.irish/) as part of their “In Irish” series.
## Dataset Structure
The dataset duration is approx. 5 hours, precisely 5:14:58, and its structure is as follows:
```
Dataset({
features: ['audio', 'text_ga', 'text_en', 'text_en_raw', 'pronunciation', 'url'],
num_rows: 6159
})
```
## License
All rights reserved to Bitesize Irish Ltd. The dataset is made available for educational and research purposes only.
For licensing queries, contact [email protected]
## Citation
```
@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},
url={https://arxiv.org/abs/2406.17363},
address={Bangkok, Thailand}
}
```
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