Open marcosmacedo opened 3 months ago
Hi,
Thank you for sharing your CodeBLEU package. Could you please explain why is there an or 1 expression in the condition below in your implementation?
or 1
+ theta * (dataflow_match_score or 1)
https://github.com/k4black/codebleu/blob/4b8d576af9787bbc126db93df9d1e071898eaf85/codebleu/codebleu.py#L87
This is different from the XLCoST implementation.
https://github.com/reddy-lab-code-research/XLCoST/blob/ad46a7df51ea9e88f37a2f7e6edc5cbe4d13b2f2/code/translation/evaluator/CodeBLEU/calc_code_bleu.py#L76
During my testing I get a CodeBLEU score of 0.25 even if all the weights of the metric are zero. Is that the intended behavior?
Thank you
@marcosmacedo Hey, thank you for spotting this; TBH i do not remember =) If im not mistaken it relay on examples from the original articles, but let me check
On it
Hi,
Thank you for sharing your CodeBLEU package. Could you please explain why is there an
or 1
expression in the condition below in your implementation?+ theta * (dataflow_match_score or 1)
https://github.com/k4black/codebleu/blob/4b8d576af9787bbc126db93df9d1e071898eaf85/codebleu/codebleu.py#L87
This is different from the XLCoST implementation.
https://github.com/reddy-lab-code-research/XLCoST/blob/ad46a7df51ea9e88f37a2f7e6edc5cbe4d13b2f2/code/translation/evaluator/CodeBLEU/calc_code_bleu.py#L76
During my testing I get a CodeBLEU score of 0.25 even if all the weights of the metric are zero. Is that the intended behavior?
Thank you