datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SageLM-Index-TTSMeow_Chan_IndexTTS2_Black_Butler
Lu_Yin_IndexTTS2_Boogiepop_Series_50_segments
MaZhengYang_IndexTTS2_Shakespeare_Audio
refer audio
Lu_Yin_IndexTTS2_Irregular_at_Magic_High_School_50_segments
Xiang_IndexTTS2_Ad_AudioIndexTTS_sample_0Lu_Yin_IndexTTS2_Sugar_Apple_Fairy_Tale_segments
mapalo-indextts-metadata1-v1IndexTTS-nano-codecOrigin_IndexTTS_CuteBoy_Spoken_Datasetgenshin_voices_5.6_sample_1_IndexTTSfrom datasets import load_dataset
ds = load_dataset("svjack/genshin_voices_5.6_sample_1_IndexTTS")
dss = ds["train"].filter(lambda x: x["speaker"] == "Eula" )
audio_decoder = dss[0]["reference_audio"]
import os
# 获取 _hf_encoded 属性
hf_encoded = audio_decoder._hf_encoded
with open(hf_encoded["path"], 'wb') as f:
f.write(hf_encoded["bytes"])
Xiang_IndexTTS2_Rounds_of_Phantom_Thief_Flanure
Scaramouche_IndexTTS2_Ad_AudioDont_be_your_lover_IndexTTS_CuteBoy_Spoken_DatasetIndexTTS_sample_1