Files
evotraders/evaluation/ace_bench/README.md
raykkk 7d0451131f init
2025-10-17 21:40:45 +08:00

19 lines
619 B
Markdown

# ACEBench Example
This is an example of agent-oriented evaluation in AgentScope.
We take [ACEBench](https://github.com/ACEBench/ACEBench) as an example benchmark, and run
a ReAct agent with [Ray](https://github.com/ray-project/ray)-based evaluator, which supports
**distributed** and **parallel** evaluation.
To run the example, you need to install AgentScope first, and then run the evaluation with the following command:
```bash
python main.py --data_dir {data_dir} --result_dir {result_dir}
```
## Further Reading
- [ACEBench](https://github.com/ACEBench/ACEBench)
- [Ray](https://github.com/ray-project/ray)