# Symptom Detection on Psychotherapy dialogue datasets

Source: [Symptom Detection on Psychotherapy dialogue datasets](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-24T14:25:14.964Z

Evaluation of Symptom Detection performance across various psychotherapy dialogue datasets, utilizing standard classification metrics including Accuracy, Precision, Recall, and various F1 scores.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Symptom Detection |
| Dataset (including any stated split) | Psychotherapy dialogue datasets |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 (Binary)](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets.md?metric=F1%20(Binary)>): Higher is better; unit: PERCENT.

- [F1 (Macro)](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets.md?metric=F1%20(Macro)>): Higher is better; unit: PERCENT.

- [F1 (Weighted)](<https://www.sota2.com/research/sota/symptom-detection-on-psychotherapy-dialogue-datasets.md?metric=F1%20(Weighted)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4 | 79.73 | Not recorded | 68fa75221e209131cea660e7 |
| GPT-4-turbo | 75.61 | Not recorded | 68fa75221e209131cea660e7 |
| Qwen2-72B | 73.85 | Not recorded | 68fa75221e209131cea660e7 |
| Llama3.1-70B | 73.33 | Not recorded | 68fa75221e209131cea660e7 |
| Llama3.1-405B | 72.91 | Not recorded | 68fa75221e209131cea660e7 |
| Mistral-8X22B | 62.15 | Not recorded | 68fa75221e209131cea660e7 |
| Mistral-8X7B | 60.7 | Not recorded | 68fa75221e209131cea660e7 |
| GPT-4o-mini | 49.15 | Not recorded | 68fa75221e209131cea660e7 |

### GPT-4

Accuracy: 79.73. Result ID: 69c29e6047f34ce924ab3ef2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Model Category":"Closed-Source Models"}. This record does not assert independent reproduction.

### GPT-4-turbo

Accuracy: 75.61. Result ID: 69c29e6047f34ce924ab3ef3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Model Category":"Closed-Source Models"}. This record does not assert independent reproduction.

### Qwen2-72B

Accuracy: 73.85. Result ID: 69c29e6047f34ce924ab3ef6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74bf1e209131cea6378d.md>)

[Implementation](<https://github.com/QwenLM/Qwen2>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Llama3.1-70B

Accuracy: 73.33. Result ID: 69c29e6047f34ce924ab3ef7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Llama3.1-405B

Accuracy: 72.91. Result ID: 69c29e6047f34ce924ab3ef5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Mistral-8X22B

Accuracy: 62.15. Result ID: 69c29e6047f34ce924ab3ef8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d01e209131cea5317b.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Mistral-8X7B

Accuracy: 60.7. Result ID: 69c29e6047f34ce924ab3ef9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d01e209131cea5317b.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### GPT-4o-mini

Accuracy: 49.15. Result ID: 69c29e6047f34ce924ab3ef4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Model Category":"Closed-Source Models"}. This record does not assert independent reproduction.

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