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# Data Analysis task
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eval_GPT.ipynb: A sample code to evaluate GPT series models on our data analysis task.
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./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....
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How to show the evaluation results:
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1. python compute_answer.py
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Determine whether the answers generated by the model are correct and save the resut into a json file `results.json`.
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2. python show_result.py
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Show the performance of model based on the `results.json` and files generated from the evaluation process.
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