| # Data Analysis task | |
| eval_GPT.ipynb: A sample code to evaluate GPT series models on our data analysis task. | |
| ./save_process/gpt-3.5-turbo-0125: This is evaluation results of gpt-3.5-turbo-0125. It recodes the cost, predicted answer, consuming time.... | |
| How to show the evaluation results: | |
| 1. python compute_answer.py | |
| Determine whether the answers generated by the model are correct and save the resut into a json file `results.json`. | |
| 2. python show_result.py | |
| Show the performance of model based on the `results.json` and files generated from the evaluation process. |