metadata

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), 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}
}