MOBIUSI INCThis dataset contains psychotherapy session transcripts, model-generated case formulations, and claim-level annotations for interpretations, pattern summaries, and hypotheses, including the related dialogue evidence and its degree of support. It evaluates whether models accurately ground formulation claims in session content and distinguish explicit statements from inferences. The data supports faithfulness evaluation, evidence-grounding analysis, and domain-specific model assessment in psychotherapy.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| claim_annotations | array | Annotations for individual interpretations, patterns, or hypotheses in the model-generated formulation, including supporting dialogue evidence and its degree of support. |
| model_formulation | string | The model-generated case formulation to be evaluated. |
| session_transcript | string | The source text of the psychotherapy session, including speaker labels or turn markers when available. |
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

Post a request and let data providers reach out to you.
@dataset{Mobiusi2026,
title={Psychotherapy Case Formulation Evidence Grounding and Faithfulness Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/be060386d2bfe7821c38d2743f68ed35},
urldate={2026-10-13},
keywords={psychotherapy evaluation dataset,case formulation,session transcript analysis,model faithfulness evaluation,clinical dialogue data,evidence grounding annotations,mental health AI,claim support assessment},
version={1.0}
}Using this in research? Please cite us.