README.md

---
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}
}
```