metadata
language:
- ace
- afr
- grc
- ara
- ban
- bel
- ben
- ceb
- bug
- bul
- yue
- cat
- zho
- hrv
- ces
- dan
- nld
- eng
- epo
- fao
- fin
- fra
- glg
- deu
- ell
- heb
- hin
- hun
- ind
- gle
- ita
- jpn
- jav
- pam
- kor
- kur
- lat
- lav
- lit
- nds
- ltz
- mkd
- zlm
- mlt
- mri
- mar
- enm
- min
- nor
- nno
- oci
- ang
- kaw
- non
- osn
- tpw
- ori
- fas
- pol
- por
- ron
- rus
- gla
- srp
- slk
- slv
- spa
- sun
- swe
- tgl
- tam
- tur
- ukr
- urd
- vol
- wln
- cym
- fry
- yid
license: cc-by-4.0
size_categories:
- 100K<n<1M
task_categories:
- text-to-speech
- automatic-speech-recognition
- feature-extraction
pretty_name: LibriVox Tracks
dataset_info:
features:
- name: language
dtype: string
- name: text
dtype: string
- name: url
dtype: string
- name: duration
dtype: float64
- name: book_id
dtype: int32
- name: section_id
dtype: int32
- name: reader_id
dtype: int32
- name: book_title
dtype: string
- name: section_title
dtype: string
- name: section_num
dtype: int32
- name: reader_name
dtype: string
- name: url_64kb
dtype: string
splits:
- name: train
num_bytes: 123168703
num_examples: 410709
download_size: 23837769
dataset_size: 123168703
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
A dataset of all audio files uploaded to LibriVox before 26th September 2023.
Forked from https://huggingface.co/datasets/pykeio/librivox-tracks
Changes:
- Used archive.org metadata API to annotate rows with "duration" column