bloom_speech / README.md
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metadata
license: cc
language:
  - bjn
  - bzi
  - ceb
  - ind
  - jra
  - kqr
  - mya
  - tgl
pretty_name: Bloom Speech
task_categories:
  - speech-recognition
tags:
  - speech-recognition

This version of the Bloom Library data is developed specifically for the automatic speech recognition and speech-to-text tasks. It includes data from 56 languages across 18 language families. 8 languages are spoken in Southeast Asia. Before using this dataloader, please accept the acknowledgement at https://huggingface.co/datasets/sil-ai/bloom-speech and use huggingface-cli login for authentication.

Languages

bjn, bzi, ceb, ind, jra, kqr, mya, tgl

Supported Tasks

Speech Recognition

Dataset Usage

Using datasets library

    from datasets import load_dataset
    dset = datasets.load_dataset("SEACrowd/bloom_speech", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
    dset = sc.load_dataset("bloom_speech", schema="seacrowd")
# Check all available subsets (config names) of the dataset
    print(sc.available_config_names("bloom_speech"))
# Load the dataset using a specific config
    dset = sc.load_dataset_by_config_name(config_name="<config_name>")
More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).

Dataset Homepage

https://huggingface.co/datasets/sil-ai/bloom-speech

Dataset Version

Source: 0.0.1. SEACrowd: 2024.06.20.

Dataset License

Creative Commons license family (cc)

Citation

If you are using the Bloom Speech dataloader in your work, please cite the following:


@inproceedings{leong-etal-2022-bloom,
    title = "Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks",
    author = "Leong, Colin  and
      Nemecek, Joshua  and
      Mansdorfer, Jacob  and
      Filighera, Anna  and
      Owodunni, Abraham  and
      Whitenack, Daniel",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.590",
    doi = "10.18653/v1/2022.emnlp-main.590",
    pages = "8608--8621",
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}