Task-oriented calls
Scripted voice-agent calls, with mock tools fired at realistic latencies
Sample audio
Data description
Scripted voice-agent calls: one human performs as agent while a second human performs as the caller. Agent fires mock tools during the call with realistic simulated latencies.
Each speaker’s microphone is captured locally as uncompressed 16-bit PCM WAV - never re-encoded from the call audio - and mastered as 48 kHz mono per-speaker stems (FLAC or WAV). Delivery defaults to 48 kHz. You can choose 8, 16, or 24 kHz instead. Every take ships with the full scene script including that take’s rolled variable values, word-timed per-speaker transcripts keyed agent / caller, and a time-aligned events.jsonl logging every tool_call and tool_result against the delivered audio.
Each script is performed by multiple distinct speaker pairs, never the same speaker twice. Built for training and evaluating tool-calling voice agents: latency-bridging speech, turn-taking around function calls, read-backs and confirmations, and agent-persona TTS.
| Detail | Value |
|---|---|
| Speakers per recording | 2 |
| Channels | Dual (one file per speaker) |
| Audio format | .flac / .wav |
| Sample rate | 48 kHz |
| Bit depth | 16-bit PCM |
| Languages | English (en) |
| Tool calls per conversation | 1to6 |
| Metadata format | .json / .jsonlUTF-8 |
| Transcription type | ASR, word-level with timings(not human-verified) |
| Transcription engine | Deepgram Nova-3 |
