Comments (12)
I'm glad to hear that it has been solved and sorry for the misunderstandings and delays. Hope the rest of the shared task goes more smoothly :)
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Hi,
You are correct, the example_submission.zip still had several sentence ids which had been removed from the official data. I've corrected this now and checked that it is updated. I'll close the issue, but feel free to open again if there is any problem on your end.
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Hi,
You are correct, the example_submission.zip still had several sentence ids which had been removed from the official data. I've corrected this now and checked that it is updated. I'll close the issue, but feel free to open again if there is any problem on your end.
Ummm maybe my expression was not clear enough. Actually the redundant ids in example_submission.zip
is not a very important bug. The key point is, maybe the online scoring script (or data) should be updated because it forces us to submit the sentences which don't exist in current splits of MPQA and this leads to the failure of submissions.
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Sorry about that. The online data was updated before, but I had forgotten to update the example_submission.zip. That's why I assumed it was just a problem there. I just downloaded you submission to check, but it seems like you might be working with outdated data. Please pull and rerun process_mpqa.sh to make sure. You should have 2063 sentences in the dev partition (your submission only has 2008 currently).
Let me know if that doesn't work.
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Sorry about that. The online data was updated before, but I had forgotten to update the example_submission.zip. That's why I assumed it was just a problem there. I just downloaded you submission to check, but it seems like you might be working with outdated data. Please pull and rerun process_mpqa.sh to make sure. You should have 2063 sentences in the dev partition (your submission only has 2008 currently).
Let me know if that doesn't work.
Sadly, we have checked we are at the newest commit 968b077e241fbe85e4d39f0c9aeef83bcafe72b6
, we even cloned the whole repo and processed the MPQA dataset again. And the dev set still only has 2008 sentences. Have you re-executed the preprocess script? Is this a problem caused by our runtime environment?
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I just tried recloning the repo and rerunning the preprocessing script and I have 2063, so it does seem like it could be caused by the runtime env. The first thing that comes to mind is if your version of stanza is the same as the one in the requirements.txt?
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I just tried recloning the repo and rerunning the preprocessing script and I have 2063, so it does seem like it could be caused by the runtime env. The first thing that comes to mind is if your version of stanza is the same as the one in the requirements.txt?
The stanza version in our env is 1.3.0
. The README.md in data/
tells us to install stanza >=1.2.3 while the requirements.txt
in baselines/graph_parser
shows the stanza version is 1.1.0. What is the stanza version you use in your preprocessing env?
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I just tried recloning the repo and rerunning the preprocessing script and I have 2063, so it does seem like it could be caused by the runtime env. The first thing that comes to mind is if your version of stanza is the same as the one in the requirements.txt?
Maybe you could export a requiements.txt
for the preprocessing scripts if you are using different environments while doing preprocessing and training, otherwise, merging these environments is also a good choice.
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Sorry, it should have all been stanza 1.1.1 throughout :/ I will update this now.
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Let me know if this solves the problem.
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Let me know if this solves the problem.
It seems that this problem has been solved through changing the version of stanza. Thanks for your constant attention.
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If that's solved the problem, I'll close the issue for now.
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Related Issues (20)
- Accuracy of baseline values HOT 4
- Doubts about the cross-lingual task HOT 2
- problems in submitting zip file HOT 4
- Gaps between local evaluation and online evaluation HOT 7
- python evaluate_single_dataset.py dev.json dev.json does not result in 100% F1 HOT 2
- Request for requirements.txt for baseline codes HOT 2
- null values in MPQA dataset HOT 2
- Error when uploading the file with the predictions HOT 9
- Some details about data HOT 4
- About pytorch version HOT 2
- Intensity labels HOT 1
- the test set of norec HOT 2
- Miss sentences in test HOT 5
- Can we use the multilingual pretrained model (e.g. mBERT) in the two subtasks (Monolingual and Cross-lingual) ? HOT 2
- Conflicting data usage rules about crosslingual task HOT 2
- Difference in MPQA test set HOT 2
- Mistake in MPQA annotation
- Mistake in darmstadt_unis annotation
- Mistake in Multibooked_eu annotation
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