|
--- |
|
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](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks](#supported-tasks) |
|
- [Languages](#languages) |
|
|
|
## Dataset Description |
|
|
|
- **Repository:** https://huggingface.co/datasets/gttsehu/basque_parliament_1 |
|
- **Paper:** [10.3390/app14051951](https://doi.org/10.3390/app14051951) |
|
- **Contact:** [Luis J. Rodriguez-Fuentes](mailto:luisjavier.rodriguez@ehu.eus) |
|
- **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 segments |
|
* `es` : only the Spanish segments |
|
* `eu` : only the Basque segments |
|
* `bi` : 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: |
|
|
|
```python |
|
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: |
|
|
|
```python |
|
from datasets import load_dataset |
|
|
|
ds = load_dataset("gttsehu/basque_parliament_1") |
|
``` |
|
|
|
|
