Human-performed support dialogue collection format for voice agents, intent classification, escalation detection, ASR testing, and conversation quality evaluation.
Customer Service Dialogue Simulations are built for teams evaluating support automation, voice agents, conversation intelligence, and dialogue management systems without relying on private real customer calls.
Each session is structured around role-based scenarios with customer and agent speakers, intent categories, escalation paths, resolution outcomes, transcript records, and optional sentiment or compliance labels. The format is designed to preserve realistic support interaction structure while keeping scenarios controlled and reviewable.
Structured collection
Customer Service Dialogue Simulations use structured roleplay scenarios.
Metadata depth
The format supports turn-level alignment, role-labeled diarization, optional word-level timing, and segment-level labels for…
Delivery-ready package
Includes scenario match, role consistency, audio quality reviews, plus dataset manifest, CSV catalog, consent status metadata, QA…
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Share your support domain, scenario taxonomy, language needs, annotation requirements, and evaluation goals. We’ll reply with a technical scope for the collection.
Support dialogue audio files
Turn-level transcripts · Timestamped utterances
Customer and agent role labels · Speaker IDs · Scenario category metadata · Intent category labels · Resolution outcome labels · Escalation markers
Optional sentiment labels · Optional compliance phrase labels · Optional outcome quality labels
Customer Service Dialogue Simulations use structured roleplay scenarios. Contributors perform defined customer and agent roles while preserving natural conversational behavior, clarifications, objections, escalations, and resolution attempts.
Scenario match review · Role consistency review · Audio quality review · Transcript alignment review · Intent label review · Consent status review · Delivery approval
Audio files · Transcript JSON · Scenario metadata CSV · Intent label files · Speaker/session metadata CSV · Dataset manifest JSON · CSV file catalog · QA summary · Consent status metadata · Delivery notes
Multi-speaker English dialogue sets with speaker-labeled transcripts, timestamped turns, accent/session metadata, optional separated-channel audio, and buyer-scoped annotations for ASR, diarization, and voice-agent evaluation.
Multilingual dialogue sets with speaker-labeled transcripts, locale metadata, language-span fields, accent or dialect notes, and aligned transcript structures for multilingual ASR and voice-agent evaluation.
Accent-focused speech sets with speaker profile metadata, region fields, prompt categories, transcript alignment, and QA status fields for ASR robustness and voice-agent coverage.
Command-style voice sessions with prompt IDs, intent categories, correction markers, transcript alignment, speaker metadata, and QA fields for instruction-following voice systems.
Styled speech sets with prompt IDs, transcript alignment, style labels, speaker metadata, audio quality fields, and buyer-scoped expression categories for TTS and voice model evaluation.
Bilingual dialogue sets with language-span markers, speaker labels, timestamped transcripts, code-switch metadata, and aligned language fields for multilingual ASR and translation evaluation.
