# Task Planning on HuggingGPT Evaluation Dataset graph tasks GPT-4 annotated

Source: [Task Planning on HuggingGPT Evaluation Dataset graph tasks GPT-4 annotated](<https://www.sota2.com/research/sota/task-planning-on-hugginggpt-evaluation-dataset-graph-tasks-gpt-4-annotated>)

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

Data updated: 2026-02-26T05:45:46.065Z

Evaluation of Task Planning performance using the GPT-4 annotated graph tasks subset of the HuggingGPT Evaluation Dataset, measured by GPT-4 Score, Precision, Recall, and F1.

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 | Task planning |
| Dataset (including any stated split) | HuggingGPT Evaluation Dataset graph tasks GPT-4 annotated |
| Metric | GPT-4 Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [GPT-4 Score](<https://www.sota2.com/research/sota/task-planning-on-hugginggpt-evaluation-dataset-graph-tasks-gpt-4-annotated.md?metric=GPT-4%20Score>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/task-planning-on-hugginggpt-evaluation-dataset-graph-tasks-gpt-4-annotated.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/task-planning-on-hugginggpt-evaluation-dataset-graph-tasks-gpt-4-annotated.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/task-planning-on-hugginggpt-evaluation-dataset-graph-tasks-gpt-4-annotated.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | GPT-4 Score | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-3.5 | 50.48 | Not recorded | 68fa71551e209131cea5091f |
| Vicuna-7b | 19.17 | Not recorded | 68fa71551e209131cea5091f |
| Alpaca-7b | 13.14 | Not recorded | 68fa71551e209131cea5091f |

### GPT-3.5

GPT-4 Score: 50.48. Result ID: 6991a7f43a6c31484909b2d6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71551e209131cea5091f.md>)

Recorded evaluation configuration: {"LLM":"GPT-3.5"}. This record does not assert independent reproduction.

### Vicuna-7b

GPT-4 Score: 19.17. Result ID: 6991a7f43a6c31484909b2d5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71551e209131cea5091f.md>)

Recorded evaluation configuration: {"LLM":"Vicuna-7b"}. This record does not assert independent reproduction.

### Alpaca-7b

GPT-4 Score: 13.14. Result ID: 6991a7f43a6c31484909b2d4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71551e209131cea5091f.md>)

Recorded evaluation configuration: {"LLM":"Alpaca-7b"}. This record does not assert independent reproduction.

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