---
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- es
- eu
pretty_name: Albayzin 2024 Bilingual Basque-Spanish Speech to Text (BBS-S2T) Challenge - Evaluation dataset
---

# Albayzin 2024 Bilingual Basque-Spanish Speech to Text (BBS-S2T) Challenge - Evaluation dataset

**see [Albayzin_2024_BBS-S2T_EvalPlan](https://huggingface.co/datasets/gttsehu/Albayzin-2024-BBS-S2T/blob/main/Albayzin_2024_BBS-S2T_EvalPlan.pdf) for a description of the challenge.**

**This is the evaluation data for the challenge.**


The database consists of a single split:

1. **eval** : 12498 audio segments

## How to download this database

**1 - If you can handle yourself comfortably with Huggingface Datasets:**
```
from datasets import load_dataset
ds = load_dataset("gttsehu/Albayzin-2024-BBS-S2T-eval")
```
The Dataset contains a single split:
```
DatasetDict({
    eval: Dataset({
        features: ['path', 'audio', 'sentence', 'speaker_id', 'language', 'PRR', 'length'],
        num_rows: 12498
    })
})
```
**NOTE:** `speaker_id` and `PRR` fields are noninformative in the actual version
of the dataset. 

**2 - Manual download:**
```
git clone https://huggingface.co/datasets/gttsehu/Albayzin-2024-BBS-S2T-eval
```
**NOTE:** [git-lfs](https://git-lfs.com) must be installed to be able to handle
the download of the large tar files (which include the audio files).

Downloaded database structure:
```
Albayzin-2024-BBS-S2T-eval/
├── Albayzin-2024-BBS-S2T-eval.py
├── audio
│   └── eval_0.tar
├── languages.py
├── metadata
│   └── eval.tsv
├── README.md
└── release_stats.py
```

Untar the audio files:
```
ls Albayzin-2024-BBS-S2T-eval/audio/*.tar | xargs -i tar -xC Albayzin-2024-BBS-S2T-eval/audio -f {}
```

The `metadata` directory contains the index file for the evaluation split. The file 
contains five tab separated fields (**NOTE:** `speaker_id`and `PRR`fields
are noninformative in the actual version of the dataset.):

1. The audio file path
2. The language of the segment (`es`: spanish, `eu`: basque and `bi`: bilingual)
3. The speaker id
4. The PhoneRecognitionRate indicating the quality of the transcription
5. The length of the segment (in seconds)
6. The transcription 

```

path    language        speaker_id      PRR     length  sentence
eval/000a3dd1.mp3       es      0       100.00  8.89    yo le pregunto por qué no ocurre esto en la comunidad autónoma vasca por qué no ocurre esto espero que nos lo responda
eval/00158458.mp3       eu      0       100.00  3.82    eh bildu taldeak osakidetzako plantilla estrukturala
eval/00180e6f.mp3       eu      0       100.00  4.03    alderdiari bakarrik interesatzen zaizkienak euskal hiritar
eval/001cdd58.mp3       es      0       100.00  9.25    volver a actualizar ese esa investigación y la realización de ese diagnóstico yo estoy de acuerdo que
eval/00213e67.mp3       eu      0       100.00  5.47    gabiltza ez dago estrategiarik ez dago pertsonal finkorik ez dago
...
```