Datasets:
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