Add MATH evaluation #135
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Add MATH evaluation #135
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yizhongw
approved these changes
Mar 25, 2024
| @@ -24,6 +24,9 @@ wget -P data/eval/tydiqa/ https://storage.googleapis.com/tydiqa/v1.1/tydiqa-gold | |||
| # GSM dataset | |||
| wget -P data/eval/gsm/ https://github.com/openai/grade-school-math/raw/master/grade_school_math/data/test.jsonl | |||
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| # MATH dataset | |||
| mkdir -p data/eval/MATH | |||
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This mkdir might not be necessary.
| if args.no_cot: | ||
| prompts = [prompt_prefix + "Question: " + example["question"].strip() + "\nAnswer:" for example in test_data] | ||
| else: | ||
| prompts = [prompt_prefix + "Question: " + "\n" + example["question"].strip() + "\nSolution: " + "\n" for example in test_data] |
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Interesting. So, for CoT, they use "Solution" in the prefix not "Answer"?
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Looks good. Thanks @danieljkim0118! Have you tested the performance of some vanilla pretrained models and tulu models? I am planning to run some tests. It would be great if you have some numbers that I can compare to. |
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It would be good to merge this soon! |
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Added evaluation scripts for the MATH (Hendrycks et al., 2021) dataset.