Nos_RG-Podcast-GL / README.md
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metadata
language:
  - gl
task_categories:
  - automatic-speech-recognition
pretty_name: Nos_RG-Podcast-GL
dataset_info:
  features:
    - name: path
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 30147673599.83
      num_examples: 34685
    - name: dev
      num_bytes: 1739381494.993
      num_examples: 2019
    - name: test
      num_bytes: 1730606534.795
      num_examples: 2015
  download_size: 99462841226
  dataset_size: 33617661629.618004
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*
extra_gated_heading: >-
  Please provide the required information and accept the Terms and Conditions to
  request access to the dataset
extra_gated_description: >-
  **Terms and Conditions**

  This dataset may be used solely for research purposes and for developing
  artificial intelligence tools focused on linguistic objectives. It can be
  accessed by any entity collaborating on projects promoted by the Centro Ramón
  Piñeiro de Investigación en Humanidades and Universidade de Santiago de
  Compostela, particularly those involved in the implementation of the Nós
  project. Dissemination of the voice recordings in an open-access manner or
  their public exposure is strictly prohibited. By accessing and using this
  dataset, you agree to comply with all applicable laws and ethical standards
  regarding the protection of individual rights. Users are strictly prohibited
  from using the dataset in any way that infringes upon the rights, privacy, or
  dignity of any individual represented within it. Any misuse, including but not
  limited to attempts to engage in discriminatory, harmful, or unlawful
  activities, is expressly forbidden.

  This document is a legal contract between you and the dataset provider. By
  accessing and using the dataset, you acknowledge and agree to abide by the
  Terms and Conditions.

  Our team may take a few days to process your access request. Thank you in
  advance for your patience.
extra_gated_button_content: I agree to the Terms and Conditions
extra_gated_fields:
  Name: text
  Email: text
  Institution: text
  Country: country
  I want to use this dataset for:
    type: text

Click here for Galician version

Corpus description

Nos_RG-Podcast-GL is an automatically transcribed and speech-to-text aligned Galician dataset of 328 hours, designed for automatic speech recognition (ASR) tasks. It includes 33 podcast series in Galician, organized into seven main genres: culture, society, history, equality, science, humor, and fiction. The following table provides the title, genre, number of episodes, and total duration of each program.

Title Genre No. of episodes Total duration of program (h)
21-dias-co-galego culture 23 4.329
a-fin-do-mundo society 5 3.781
apalabradas society 33 9.872
arqueoloxia-historia history 16 2.749
arte culture 20 2.526
teatro-artes-escenicas culture 20 2.628
audiovisual culture 30 5.008
como-que-non humor 76 77.672
consellos-con-sexo equality 25 5.983
deborah-ciencia science 28 6.791
efemeridas history 28 6.078
enfermeira-saturada ciencia 27 6.279
escoitamos-teatro culture 6 2.735
florencio-o-poeta-de-valdeorras culture 5 1.398
galicia-para-neofalantes culture 9 1.646
lambons-de-viaxe culture 5 4.568
libros culture 47 7.813
medio-ambiente society 43 12.085
moito-ollo equality 20 8.651
morra-o-conto equality 35 4.422
morte-na-abadia fiction 1 0.320
o-barroquista history 45 10.049
o-impostor humor 8 7.319
o-poigrama society 44 10.503
os-pobres-si-que-choran fiction 62 8.734
paseo-polo-museo culture 1 0.655
poesia culture 35 4.972
proxima-estacion history 6 1.247
start-up-galicia society 5 2.043
superando-a-ficcion society 21 7.920
un-ollo-de-vidro fiction 7 3.004
zeta culture 88 94.248

The dataset is divided into three partitions (train, dev and test) with the following durations:

partition duration (h)
train 259.078
dev 14.541
test 14.537

Terms and conditions

This dataset may be used solely for research purposes and for developing artificial intelligence tools focused on linguistic objectives. It can be accessed by any entity collaborating on projects promoted by the Centro Ramón Piñeiro de Investigación en Humanidades and Universidade de Santiago de Compostela, particularly those involved in the implementation of the Nós project. Dissemination of the voice recordings in an open-access manner or their public exposure is strictly prohibited. Users are strictly prohibited from using the dataset in any way that infringes upon the rights, privacy, or dignity of any individual represented within it. Any misuse, including but not limited to attempts to engage in discriminatory, harmful, or unlawful activities, is expressly forbidden.

This document is a legal contract between you and the dataset provider. By accessing and using the dataset, you acknowledge and agree to abide by the Terms and Conditions.

Funding and acknowledgements

This dataset was compiled within the Nós Project, funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA] (https://proyectoilenia.es/) with reference 2022/TL22/00215336. It also received support from the Investigo program (RTRP - NextGenerationEU).

We would like to thank the Galician Public Television and Radio Corporation (CRTVG) for their kind collaboration in providing the original data.

Citation information

The original version of this dataset, in STM format and non-segmented audio, can be found in Zenodo.

If you use this version of the dataset, please cite as follows:

Cristian Canosa Pérez, José Javier Francisco Marini, Antonio Moscoso Sánchez, Javier González Corbelle, Noelia García Díaz, Carmen Magariños, Adina Ioana Vladu, Daniel Fernández López, Elisa Fernández Rei, Francisco Dubert-García & Xosé Luís Regueira Fernández. (2025). Nos_RG-Podcast-GL

URL: https://huggingface.co/datasets/proxectonos/Nos_RG-Podcast-GL