Need Multilingual Customer Service Datasets
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I am looking to buy existing, fully-licensed conversational datasets for customer-service scenarios. The languages I am ready to acquire right now are Japanese, Korean, Mexican Spanish, Hindi, Spain spanish, and Italian.
My immediate focus is on healthcare and banking use-cases, but I will also consider other typical support domains such as retail, travel, insurance, catering/food services, telecom, etc., as long as the conversations reflect real customer–agent interactions.
Only datasets that are already collected and ready for delivery are of interest; I’m not commissioning fresh recordings or transcriptions at this stage. If your corpus meets these criteria, please send me the specifics below so we can move straight to evaluation and pricing:
• Language covered
• Total hours or overall data volume
• Domain / category of the conversations
• File format and any existing annotations (speaker turns, intents, sentiment, timestamps, etc.)
• Price and licensing terms
• Short sample, if you are able to share one
Clean, well-structured data with clear speaker separation and compliant sourcing will be prioritised, and I am prepared to move quickly once the fit is confirmed. Looking forward to reviewing what you have on hand.
My immediate focus is on healthcare and banking use-cases, but I will also consider other typical support domains such as retail, travel, insurance, catering/food services, telecom, etc., as long as the conversations reflect real customer–agent interactions.
Only datasets that are already collected and ready for delivery are of interest; I’m not commissioning fresh recordings or transcriptions at this stage. If your corpus meets these criteria, please send me the specifics below so we can move straight to evaluation and pricing:
• Language covered
• Total hours or overall data volume
• Domain / category of the conversations
• File format and any existing annotations (speaker turns, intents, sentiment, timestamps, etc.)
• Price and licensing terms
• Short sample, if you are able to share one
Clean, well-structured data with clear speaker separation and compliant sourcing will be prioritised, and I am prepared to move quickly once the fit is confirmed. Looking forward to reviewing what you have on hand.
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