datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nano4m-Audio
nano4M-Audio — Team (week-1)
Week-1 data preparation for nano4M-Audio, an extension of EPFL's
nano4M (the educational nano version of
4M / 4M-21)
that adds audio as a fifth modality alongside RGB, depth, surface normals
and captions.
This dataset covers all 12 VGGSound classes assigned to the three-person team:
person
classes
1 (Hassan)
lions roaring, horse neighing, pig oinking, cow lowing
2 (Ziyad)
dog barking, cat meowing, coyote howling, elephant trumpeting
3… See the full description on the dataset page: https://huggingface.co/datasets/zed-m97/nano4m-Audio.dacvae-tts-tr-nano-b-ke4
DACVAE-TTS Turkish run B (batch expansion 4)
Generated audio of every evaluated checkpoint of the training run tr-nano-b-ke4 (Turkish zero-shot voice-cloning TTS,
dacvae-tts, frozen Meta DACVAE latents, 48 kHz). This repository holds
model outputs and metrics, not training data. Training data: Vyvo/tr-dataset-12 (Turkish podcast segments).
Run B: configs/nano_tr_ke4.yaml (same 51.4M model as run A, context-sharing batch expansion 4, frame budget 7000), same data (~77 h), one RTX… See the full description on the dataset page: https://huggingface.co/datasets/VoiceHub/dacvae-tts-tr-nano-b-ke4.dacvae-tts-tr-nano-a
DACVAE-TTS Turkish run A (nano recipe, full data)
Generated audio of every evaluated checkpoint of the training run tr-nano-a (Turkish zero-shot voice-cloning TTS,
dacvae-tts, frozen Meta DACVAE latents, 48 kHz). This repository holds
model outputs and metrics, not training data. Training data: Vyvo/tr-dataset-12 (Turkish podcast segments).
Run A: configs/nano_tr.yaml (51.4M parameters), 17 shards of Vyvo/tr-dataset-12 with quality >= 55 (~77 h train), one RTX 4090, frame budget… See the full description on the dataset page: https://huggingface.co/datasets/VoiceHub/dacvae-tts-tr-nano-a.Nano2Nanonanospeech_10sec_1600nanospeechml_superb_nano_swatest-nanospeech-converted-publicnanotts-demosml_superb_nano_setml_superb_nano_test_2