Datasets:
license: cc-by-sa-4.0
dataset_info:
features:
- name: id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcription
dtype: string
- name: duration
dtype: float32
- name: language
dtype: string
- name: original_speaker_id
dtype: int64
- name: session_id
dtype: int64
- name: topic
dtype: string
- name: phonetic_trans
dtype: string
splits:
- name: train
num_bytes: 1015539069.14
num_examples: 9869
- name: test
num_bytes: 106265310.135
num_examples: 1315
- name: validation
num_bytes: 106871907.43
num_examples: 1130
download_size: 1224216556
dataset_size: 1228676286.7050002
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
task_categories:
- automatic-speech-recognition
language:
- en
- zh
tags:
- phonetic transcription
size_categories:
- 10K<n<100K
Dataset Summary
This dataset is a modified version of the ASCEND dataset which consists of spontaneous Mandarin-English code-switched speech. The ASCEND dataset was published by Lovenia et al. (2022) (Check here for the dataset and here for the paper). This dataset adds a phonetic transcription column to the dataset using the eSpeak backend from the phonemizer library created by Bernard et al. (2021) (Check it out here).
the following documentation is a modified version of the ASCEND documentation
Usage
To use the full dataset, run this:
from datasets import load_dataset
ds = load_dataset("katyayego/ASCEND-phoneme")
Dataset Structure
A typical data point comprises the path to the audio file, the loaded audio array, and its transcription and phonetic transcription. Additional fields include datapoint id, duration, language, speaker id, session id, and topic.
{
'id': '00644',
'path': 'example_path.wav',
'audio': {
'path': 'example_audio.wav',
'array': array([-0.00320435, -0.00296021, -0.00039673, ..., 0.00198364,
0.00158691, -0.00061035]),
'sampling_rate': 16000
},
'transcription': '我们应该去帮助他们说',
'duration': 2.119999885559082,
'language': 'zh',
'original_speaker_id': 9,
'session_id': 3,
'topic': 'technology',
'phonetic_trans': 'w o2 m ə1 n j i5 ŋ k ai5 tɕh y5 p a5 ŋ ts. u5 th ɑ5 m ə1 n s. w o5'
}
Data Splits
Number of utterances: 9,869 train, 1,130 validation, and 1,315 test.
Licensing Information
Creative Common Attribution Share-Alike 4.0 International (CC-BY-SA 4.0)