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Tool calling

Scripted voice-agent calls, with mock tools fired at realistic latencies

Not published. Available to buyers under a commercial license.

Sample audio

19:36
Speaker A
Speaker B

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 delivered as 24 kHz mono per-speaker stems (FLAC or WAV). 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.

DetailValue
Speakers per recording
2
Channels
Dual (one file per speaker)
Audio format
.flac / .wav
Sample rate
24 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