> For the complete documentation index, see [llms.txt](https://stackpi-intelligent.gitbook.io/stackpi-intelligent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://stackpi-intelligent.gitbook.io/stackpi-intelligent/alpha-codium/usage/solving-problems.md).

# Solving Problems

To solve a specific problem, run:

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```
python -m alpha_codium.solve_problem \
--dataset_name /path/to/dataset \
--split_name test \
--problem_number 0
```

* **Parameters:**
  * `dataset_name`: Path to the dataset folder downloaded in the installation step.
  * `problem_number`: Index of the problem (zero-based).
  * `split_name`: Could be either `valid` or `test`.
  * Each run logs the results to a file named `alpha_codium/example.log`. Reviewing the log file is a good way to understand what is going on in each stage of the flow.
