Is there a functionality for convering m2 file back to their parallel corpuses? about errant HOT 4 CLOSED

No, that's correct. The reason is because the reference edits in Codalab were annotated by humans, while the hypothesis edits were extracted automatically with ERRANT. Consequently, even though the corrected sentences are the same, there is a mismatch between the spans of the gold and automatic edits.

You can read a bit more about this in Section 4.1 of the ERRANT paper and also Appendix A.7 in the BEA-19 shared task paper.

from errant.

Thank you for your detailed explanation.

from errant.

There is a script on the BEA 2019 shared task website to apply the edits to get the corrected text: link

As for the original text, I just run:
grep ^S m2_file | cut -c 3- > output.orig

from errant.

There is a script on the BEA 2019 shared task website to apply the edits to get the corrected text: link

As for the original text, I just run:
grep ^S m2_file | cut -c 3- > output.orig

I run the code to get correct sentences from BEA2019 dev m2. But the F0.5 score is only 86.45 when I upload the correct sentences to Codalab of BEA2019. Did I do something wrong?

The command that I run:
python office_correct.py ~/Corpus/BEA2019/wi+locness/m2/ABCN.dev.gold.bea19.m2 -out office.gold

from errant.