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---
dataset_info:
features:
- name: sentence
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
splits:
- name: train
num_bytes: 330598119.934
num_examples: 1121
download_size: 351795253
dataset_size: 330598119.934
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- automatic-speech-recognition
- translation
language:
- ga
- en
size_categories:
- 1K<n<10K
---
# Dataset Details
Living Audio Irish speech corpus. This version is based on the Irish dataset on [Kaggle](https://www.kaggle.com/datasets/jimregan/living-audio-irish-speech-corpus).
The original version of the dataset with more languages is available on [GitHub](https://github.com/Idlak/Living-Audio-Dataset) as part of the Idlak project.
The details of the Irish portion of the Living Audio dataset are as follows:
| Speaker | Language | Accent | Gender | Total duration(mm:ss) | Sample rate (Hz) |
|:-------:|:--------:|:------:|:------:|:---------------------:|:----------------:|
| CLL | Irish (ga) | Non-native (ie) | Man | 61:56 | 48\,000 |
## Dataset Structure
```
Dataset({
features: ['sentence', 'audio', 'translation'],
num_rows: 1121
})
```
## How to load the dataset
```python
from datasets import load_dataset
living_audio_dataset = load_dataset("ymoslem/Living-Audio-Irish-GA-EN-MTed",
split="train",
trust_remote_code=True
)
```
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