README.md

---
language:
- en
size_categories:
- 100K<n<1M
task_categories:
- automatic-speech-recognition
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: up_votes
    dtype: int64
  - name: down_votes
    dtype: int64
  - name: phonemes
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 22050
  - name: text
    dtype: string
  - name: normalized_text
    dtype: string
  - name: client_id
    dtype: string
  - name: sentence_id
    dtype: string
  - name: age
    dtype: string
  - name: gender
    dtype: string
  - name: accents
    dtype: string
  - name: variant
    dtype: float64
  - name: locale
    dtype: string
  - name: segment
    dtype: string
  - name: sentence_domain
    dtype: float64
  splits:
  - name: train
    num_bytes: 89318002198.0
    num_examples: 468624
  download_size: 80889620186
  dataset_size: 89318002198.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# British English Phonetic Dataset

## Introduction

This dataset is an extension of Common Voice, from which 6 subsets were selected (Common Voice Corpus 1, Common Voice Corpus 2, Common Voice Corpus 3, Common Voice Corpus 4, Common Voice Corpus 18.0, Common Voice Corpus 19.0). All data containing the England accent from these 6 subsets were extracted and phonetically annotated accordingly.

## Description
Key fields explanation:
1. **sentence**: The English sentence referenced by the audio.
2. **phonemes**: The phonetic sequence corresponding to the English sentence.
3. **audio**: The audio data.

Using these three fields, you can build your own speech-to-text or speech-to-phoneme applications. Additionally, you can use fields such as **up_votes**, **down_votes**, **age**, **gender**, etc., to filter the dataset and perform diversity analysis.