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This paper introduces GEMCo, a synthetic dataset of German counselling conversations designed as an ethically compliant proxy to overcome privacy barriers in language research. By validating that the human-authored data closely mirrors real interactions regarding counsellor strategies and client emotions, it establishes a robust method for training AI models on sensitive domains where raw personal data cannot be shared. The work advances machine learning capabilities by enabling high-quality dataset creation without compromising user confidentiality or ethical standards.
GEMCo: A Validated, Ethically Releasable Proxy for Inaccessible Counselling Data
arXiv:2607.23621v1 Announce Type: new Abstract: This paper presents GEMCo, a releasable, human-written proxy for inaccessible counselling data: 86 complete German e-mail counselling conversations (728 messages), expert-authored cases and counsellor sessions with trained role-players. It is validated against a held-out reference of 124 real counselling conversations. The proxy and the real conversations are measured against each other in counsellor strategies and client emotions. The gap is detectable but small. A generative validation supports the analysis. The validation method itself generalises to any domain where real data cannot be shared but a human-made proxy can. Privacy and ethics keep real counselling data closed. GEMCo carries none by design and can be released -- a first step toward language research in this domain.
Abstract:This paper presents GEMCo, a releasable, human-written proxy for inaccessible counselling data: 86 complete German e-mail counselling conversations (728 messages), expert-authored cases and counsellor sessions with trained role-players. It is validated against a held-out reference of 124 real counselling conversations. The proxy and the real conversations are measured against each other in counsellor strategies and client emotions. The gap is detectable but small. A generative validation supports the analysis. The validation method itself generalises to any domain where real data cannot be shared but a human-made proxy can. Privacy and ethics keep real counselling data closed. GEMCo carries none by design and can be released -- a first step toward language research in this domain.
Computation and Language (cs.CL); Computers and Society (cs.CY)
arXiv:2607.23621 [cs.CL]
(or arXiv:2607.23621v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2607.23621 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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