ggfox00000/stt-voxpopuli-test-en

---
license: cc-by-4.0
language:
- en
task_categories:
- automatic-speech-recognition
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: audio_id
dtype: string
- name: language
dtype: int64
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: raw_text
dtype: string
- name: normalized_text
dtype: string
- name: gender
dtype: string
- name: speaker_id
dtype: string
- name: is_gold_transcript
dtype: bool
- name: accent
dtype: string
splits:
- name: test
num_examples: 1842
---

# VoxPopuli EN — test split

Mirror byte-exact du split `test` de `facebook/voxpopuli` config `en`.

- 1842 utt parlementaires (Parlement européen, 2009–2020)
- 16 kHz mono WAV embedded
- Référence WER : `normalized_text` (préférée à `raw_text`)
- Champ `is_gold_transcript` : True ⇒ transcription validée humaine
- Source : Wang, Riviere et al. *VoxPopuli: A Large-Scale Multilingual Speech
Corpus for Representation Learning, Semi-Supervised Learning and
Interpretation*, ACL 2021.

## Usage

```python
from datasets import load_dataset
ds = load_dataset("ggfox00000/stt-voxpopuli-test-en", split="test")
print(ds[0]["normalized_text"], ds[0]["audio"]["sampling_rate"])
```