license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- es
- eu
pretty_name: Basque Parliament Speech Corpus 1.0
Dataset Card for Basque Parliament Speech Corpus 1.0
This work was partially funded by the Spanish Ministry of Science and Innovation (OPENSPEECH project, PID2019-106424RB-I00).
Table of Contents
Dataset Description
- Repository: https://huggingface.co/datasets/gttsehu/basque_parliament_1
- Paper: 10.3390/app14051951
- Contact: Luis J. Rodriguez-Fuentes
- Funding: Spanish Ministry of Science and Innovation
Dataset Summary
The Basque Parliament Speech Corpus 1.0 consists of 1462 hours of speech extracted from Basque Parliament plenary sessions from 2013 to 2022. Encoded as MP3 files, the dataset contains 759192 transcribed segments either spoken in Basque, Spanish or both (in Basque and Spanish).
The corpus was created to help the development of speech technology for the Basque language, which is relatively low-resourced. However, the dataset is suited to the development of bilingual ASR systems, meaning to decode speech signals in Basque and/or Spanish. Given the similarity between Basque and Spanish at the phonetic/phonological level, acoustic models can be shared by both languages, which comes to circumvent the lack of training data for Basque.
The dataset contains of four splits: train
, train_clean
, dev
and test
, all of
them containing 3-10 second long speech segments and their corresponding transcriptions.
Besides the transcription, each segment includes a speaker identifier and a language tag
(Spanish, Basque or bilingual).
The train
split, aimed at estimating acoustic models, was extracted from 2013-2021
sessions, amounting to 1445 hours of speech. The train_clean
split is a subset of
the train
split, containing only highly reliable transcriptions. The dev
and test
splits, amounting to 7.6 and 9.6 hours of speech respectively, were extracted from
February 2022 sessions and their transcripts were manually audited.
Languages
The dataset contains segments either spoken in Basque (eu
), Spanish (es
) or both (bi
).
The language distribution is strongly biased towards Spanish and bilingual segments are
very unfrequent.
Duration (in hours) disaggregated per language:
Split | es | eu | bi | Total |
---|---|---|---|---|
train | 1018.6 | 409.5 | 17.0 | 1445.1 |
train_clean | 937.7 | 363.6 | 14.2 | 1315.5 |
dev | 4.7 | 2.6 | 0.3 | 7.6 |
test | 6.4 | 2.8 | 0.4 | 9.6 |
Number of segments disaggregated per language:
Split | es | eu | bi | Total |
---|---|---|---|---|
train | 524942 | 216201 | 8802 | 749945 |
train_clean | 469937 | 184950 | 6984 | 661871 |
dev | 2567 | 1397 | 131 | 4095 |
test | 3450 | 1521 | 181 | 5152 |
The dataset contains four configs that can be used to select the full set of multilingual segments or just a subset of them, constrained to a single language:
all
: all the segmentses
: only the Spanish segmentseu
: only the Basque segmentsbi
: only the bilingual segments
How to use
You can use the datasets
library to load the dataset from Python. The dataset can be
downloaded in one call to your local drive by using the load_dataset
function. For
example, to download the Basque config of the train
split, simply specify the
desired language config name (i.e., "eu" for Basque) and the split:
from datasets import load_dataset
ds = load_dataset("gttsehu/basque_parliament_1", "eu", split="train")
The default config is all
and if no split is indicated all splits are prepared, so
the next code prepares the full dataset:
from datasets import load_dataset
ds = load_dataset("gttsehu/basque_parliament_1")