A multilingual dataset is useful when the right languages appear in the right conversations, with enough documentation to understand the coverage and its limits.
Specify language at the right level
Define whether coverage concerns entire calls, conversational turns, or word-level switching. A scripted greeting is different from a substantive interaction in that language. List required language combinations and describe how code-switching, proper names, borrowed terms, and uncertain language should be represented.
Request meaningful coverage counts
Measure duration, calls, and available independent speakers by language and domain. Distinguish elapsed recording time from actual speech and annotated material. Ask which source or team contributes each slice, because a broad total may be concentrated in one script or recurring agent group.
Define reference conventions
Provide script, transliteration, number, and specialist-term rules. State which languages need qualified reference review and how disagreements are resolved. Treat regional or accent metadata according to its documented source rather than assuming that business location or telephone region verifies a speaker attribute.
Review a bounded source proposal
Share your essential combinations, annotation requirements, and handling limits with Fiund. Each possible source needs assessment for origin, permitted scope, sensitive information, and task fit. Start with a representative pilot that includes language transitions and difficult recordings so feasibility is grounded in actual examples.
Include in your inquiry
- Required languages and switching patterns
- Duration and source-diversity measures
- Language-specific annotation conventions
- Pilot and source-review requirements