README.md

---
dataset_info:
  features:
  - name: keyword
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: translation
    dtype: string
  splits:
  - name: train
    num_bytes: 350177561.125
    num_examples: 10925
  download_size: 133270458
  dataset_size: 350177561.125
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- automatic-speech-recognition
- text-to-speech
- translation
language:
- ga
- en
size_categories:
- 10K<n<100K
---

# Dataset Card for Dataset Name

This is the Irish portion of the Spoken Words dataset (available at [MLCommons/ml_spoken_words](https://huggingface.co./datasets/MLCommons/ml_spoken_words)),
with merged splits “train”, “validation”, and “test”, augmented with machine translation.
The Irish sentences are automatically translated into English using Google Translation API.
The dataset includes approximately 3 hours and 2 minutes of audio (03:02:02), spoken by multiple narrators.

## Dataset Structure

```
Dataset({
    features: ['keyword', 'audio', 'translation'],
    num_rows: 10925
})
```

# How to load the dataset

```
from datasets import load_dataset

dataset = load_dataset("SpokenWords-GA-EN-MTed",
                       split="train",
                       trust_remote_code=True
                      )

```

## Citations

```
@inproceedings{mazumder2021multilingual,
  title={Multilingual Spoken Words Corpus},
  author={Mazumder, Mark and Chitlangia, Sharad and Banbury, Colby and Kang, Yiping and Ciro, Juan Manuel and Achorn, Keith and Galvez, Daniel and Sabini, Mark and Mattson, Peter and Kanter, David and others},
  booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
  year={2021}
}
```

```
@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}
}
```