metadata
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcription
dtype: string
- name: raw_transcription
dtype: string
- name: gender
dtype:
class_label:
names:
'0': male
'1': female
'2': other
- name: lang_id
dtype:
class_label:
names:
'0': af_za
'1': am_et
'2': ar_eg
'3': as_in
'4': ast_es
'5': az_az
'6': be_by
'7': bg_bg
'8': bn_in
'9': bs_ba
'10': ca_es
'11': ceb_ph
'12': ckb_iq
'13': cmn_hans_cn
'14': cs_cz
'15': cy_gb
'16': da_dk
'17': de_de
'18': el_gr
'19': en_us
'20': es_419
'21': et_ee
'22': fa_ir
'23': ff_sn
'24': fi_fi
'25': fil_ph
'26': fr_fr
'27': ga_ie
'28': gl_es
'29': gu_in
'30': ha_ng
'31': he_il
'32': hi_in
'33': hr_hr
'34': hu_hu
'35': hy_am
'36': id_id
'37': ig_ng
'38': is_is
'39': it_it
'40': ja_jp
'41': jv_id
'42': ka_ge
'43': kam_ke
'44': kea_cv
'45': kk_kz
'46': km_kh
'47': kn_in
'48': ko_kr
'49': ky_kg
'50': lb_lu
'51': lg_ug
'52': ln_cd
'53': lo_la
'54': lt_lt
'55': luo_ke
'56': lv_lv
'57': mi_nz
'58': mk_mk
'59': ml_in
'60': mn_mn
'61': mr_in
'62': ms_my
'63': mt_mt
'64': my_mm
'65': nb_no
'66': ne_np
'67': nl_nl
'68': nso_za
'69': ny_mw
'70': oc_fr
'71': om_et
'72': or_in
'73': pa_in
'74': pl_pl
'75': ps_af
'76': pt_br
'77': ro_ro
'78': ru_ru
'79': sd_in
'80': sk_sk
'81': sl_si
'82': sn_zw
'83': so_so
'84': sr_rs
'85': sv_se
'86': sw_ke
'87': ta_in
'88': te_in
'89': tg_tj
'90': th_th
'91': tr_tr
'92': uk_ua
'93': umb_ao
'94': ur_pk
'95': uz_uz
'96': vi_vn
'97': wo_sn
'98': xh_za
'99': yo_ng
'100': yue_hant_hk
'101': zu_za
'102': all
- name: language
dtype: string
- name: lang_group_id
dtype:
class_label:
names:
'0': western_european_we
'1': eastern_european_ee
'2': central_asia_middle_north_african_cmn
'3': sub_saharan_african_ssa
'4': south_asian_sa
'5': south_east_asian_sea
'6': chinese_japanase_korean_cjk
- name: score
dtype: float64
splits:
- name: train
num_bytes: 741379482.45
num_examples: 1195
download_size: 739288315
dataset_size: 741379482.45
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
https://huggingface.co/datasets/google/fleurs (english subset only) filtered using UTMOS.
License:
UTMOS was trained on a non-commercial dataset, so you are responsible for your usage of this dataset and complying with all applicable laws & regulations.
THE DATASET IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS DATASET INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS DATASET.