Cognitive Distortions Dataset: Translated Russian Patient-Therapist Interactions

psytechlab published a Russian-translated version of the Cognitive Distortions detection dataset on 2025-08-29. The dataset was originally created by Sagarika Shreevastava and Peter W. Foltz for detecting cognitive distortions from patient-therapist interactions. The Russian version was generated using a pipeline that relies on modern large language models.

Use Cases

• Train models to detect cognitive distortions based on translated patient-therapist dialogue text.
• Analyze linguistic patterns in therapeutic conversations based on the described interaction data.
• Benchmark machine translation or cross-lingual NLP performance on clinical psychology texts.
• Study the manifestation of cognitive distortions in Russian-language psychotherapy sessions.

Strengths

• Includes machine-translated Russian versions of texts, indicated by attributes with the '_ru' suffix.
• Dataset is associated with a published research paper on detecting cognitive distortions from patient-therapist interactions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Original dataset by Sagarika Shreevastava and Peter W. Foltz; Russian translation by psytechlab.

Collection Method

Original data from patient-therapist interactions; Russian translation via an LLM-based pipeline.

Time Range

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Freshness

Last updated 2025-08-29 20:12:27; freshness should be verified.

Geography

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