metadata
dataset_info:
- config_name: ASR
features:
- name: id
dtype: string
- name: audio
dtype: audio
- name: sentence
dtype: string
- name: metadata
struct:
- name: audio
struct:
- name: recordedID
dtype: string
- name: recordedDate
dtype: string
- name: recordedStart
dtype: string
- name: fileName
dtype: string
- name: filePath
dtype: string
- name: recordedTime
dtype: float32
- name: recordedQuality
dtype: string
- name: recordedDevice
dtype: string
- name: recordedDeviceName
dtype: string
- name: recordedEnv
dtype: string
- name: recordPerson
struct:
- name: collectedID
dtype: string
- name: recorderID
dtype: string
- name: sex
dtype: string
- name: generation
dtype: string
- name: residence
dtype: string
- name: dialect
dtype: string
- name: dialectRegion
dtype: string
- name: areaInfomation
struct:
- name: fatherHometown
dtype: string
- name: motherHometown
dtype: string
splits:
- name: train
num_bytes: 1019163173828.5
num_examples: 3621732
- name: validation
num_bytes: 121672797307.125
num_examples: 429055
download_size: 1131329397132
dataset_size: 1140835971135.625
configs:
- config_name: ASR
data_files:
- split: train
path: ASR/train-*
- split: validation
path: ASR/validation-*
task_categories:
- automatic-speech-recognition
language:
- ko
size_categories:
- n>1T
jp1924/TNT0.5B-Dual 모델을 활용해서 이중 전사문으로 변환한 데이터