Natural English Dialogue Sets
Natural multi-speaker conversation with the turn structure, timing and speaker context needed for ASR, diarisation and conversational systems.
View datasetVoice systems rarely operate as a list of isolated trigger phrases. A user gives an instruction, corrects a detail, confirms an interpretation or clarifies what they meant. Instruction and Command Voice Sessions preserve that short interaction around the command itself.
The resulting records can connect spoken language to intent, slots and turn relationships, giving models a clearer representation of how commands evolve across a brief exchange. This is especially useful when the system must recover from ambiguity rather than simply recognise a keyword.
Voice agents, intent classification, slot filling, spoken instruction following and command recovery.
The intent taxonomy and session design are shaped around the command behaviour the model needs to handle.
The exact package depends on the collection scope. Where relevant, delivery can include task-specific records, manifests, provenance fields, stable identifiers, SHA-256 hashes, MLCommons Croissant 1.0 metadata and loading instructions.