Datasets:
anime-voices
Speaker-labelled speech for zero-shot TTS and voice cloning. Every example is a single-speaker utterance with its transcript, plus a reference prompt: a different clip of the same speaker.
| utterances | 1011 |
| hours | 2.335 |
| speakers | 86 |
| sources | 45 |
| sample rate | 24000 Hz |
| series | hours | utterances | speakers | sources |
|---|---|---|---|---|
| blackclover | 1.07 | 464 | 48 | 20 |
| rentagf | 0.53 | 228 | 12 | 12 |
| smoking | 0.52 | 235 | 13 | 10 |
| naruto | 0.22 | 84 | 13 | 3 |
Audio is stored in Parquet shards under data/ (one per source) with audio and ref_audio columns. Speaker IDs are stable across updates (speaker_registry.json),
speakers.csv summarises the speakers, metadata.jsonl holds per-utterance
metadata and quality metrics, and manifest.json records the update history.
from datasets import load_dataset
ds = load_dataset("backpropSukuna/anime-voices", split="train")
row = ds[0]
row["audio"] # {"array": ..., "sampling_rate": 24000}: the utterance
row["ref_audio"] # a different clip of the same speaker (voice prompt)
row["text"], row["speaker_id"], row["ref_text"]
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