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audio audio | duration float64 | text_prompt string | id string |
|---|---|---|---|
8.754625 | Answer with a angry tone. | angry_angry_000 | |
8.718625 | Answer with a happy tone. | angry_happy_000 | |
13.268167 | Answer with a sad tone. | happy_sad_000 | |
6.697208 | Answer with a sad tone. | sad_sad_000 | |
8.468625 | Answer with a neutral tone. | sad_neutral_000 | |
8.49175 | Answer with a neutral tone. | neutral_neutral_000 | |
10.938208 | Answer with a happy tone. | happy_happy_000 | |
10.203333 | Answer with a angry tone. | neutral_angry_000 |
Emotionplex duplex multispeaker
About 55 hours of English full-duplex conversations for finetuning PersonaPlex. Each clip is one user turn and one agent reply. Speech was synthesized with Boson AI Higgs Audio v3 TTS 4B (Higgs TTS 3). The agent was trained to follow:
Answer with a {emotion} tone.
where {emotion} is happy, sad, angry, or neutral.
Speech time by emotion, from each turn's start and end. Padding and the gap between speakers are not included. The channels overlap, so this sum is longer than the stereo timeline. Each speaker has 6,000 turns in every emotion, 1,500 clips for each of the 16 user-to-agent pairs.
| Happy | Sad | Angry | Neutral | |
|---|---|---|---|---|
| User | 7h53m | 7h28m | 7h02m | 5h59m |
| Agent | 7h28m | 8h01m | 6h18m | 5h14m |
Total speech time is 55h23m.
This dataset is not affiliated with NVIDIA or Boson AI. See NOTICE.
The dataset page opens on the preview subset: eight full stereo clips, one per emotion pair. The rest are in the full subset. Those show “Not supported with pagination yet” in the viewer.
Layout
Stereo WAV at 24 kHz. Left channel is the agent (SPEAKER_BROKER). Right channel is the user (SPEAKER_CLIENT). A .json file with the same stem sits next to each WAV.
| Path | What it is |
|---|---|
stereo_wav/<shard>/ |
Stereo clips and sidecars (text_prompt, alignments, voice, emotion). Shards stay under the Hub limit of 10,000 files per directory. |
turns/<shard>/ |
The user and agent mono takes packed into each stereo clip |
train.jsonl, val.jsonl |
{"path": "stereo_wav/000/<id>.wav", "duration": ...} |
dialogues.jsonl, users.jsonl |
Plain text of the lines before TTS |
voice_prompts/ |
LibriTTS-R reference clips used as the PersonaPlex voice prompt |
roomtone/classroom.wav |
Room tone mixed under the user channel |
Paths in train.jsonl, val.jsonl, sidecar wav, and turns[].path are relative to this dataset root. voice_prompt and voices.*.path are relative to the stereo file, for example ../../voice_prompts/103.wav, because the PersonaPlex trainer joins a relative voice path onto the WAV's directory (stereo_wav/<shard>/).
sphn opens train.jsonl paths from the process working directory. Train with this dataset directory as the working directory, or expand those paths to absolute paths on your machine.
License
Mixed. Synthetic speech was produced with Higgs TTS 3. Voice clips are LibriTTS-R (CC BY 4.0). Room tone is Freesound 212202 by klankbeeld (CC BY). Details and required credits are in NOTICE.
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