Comments (2)
We do not have the plan to release the test labels to avoid overfitting on test set. You can tune hyperparameters on the released dev set and submit the predictions to the CodaLab leaderboard.
from maven-dataset.
Hi, I am now trying to implement an incremental learning algorithm on this dataset. However, it is impossible to evaluate the performance on a certain part of the test set without labels. It would be very helpful if you can release the label of the test set.
from maven-dataset.
Related Issues (17)
- 请问可以更新一下数据集吗 HOT 1
- miss "word2vec.npy" web address? HOT 1
- 关于测试数据集最后结果的问题 HOT 2
- Invalid data type when submit to leaderboard HOT 5
- Where is the adversarial training of DMBERT? HOT 1
- tokenization HOT 1
- question HOT 1
- bert-crf里面,评估阶段f1值为什么变成0?而且没有保存到结果里面 HOT 2
- No such file or directory:dev.jsonl
- 数据的统计结果好像不对? HOT 2
- Performances of BERT on ACE2005 and MAVEN HOT 4
- run BERT-CRF, get loss is nan HOT 2
- 测评时认为trigger是已知的还是未知的? HOT 1
- 关于如何添加negative trigger的问题 HOT 1
- 您好,我想询问怎么进行trigger identify这部分 HOT 2
- 您好我想拜托问问关于baselines下面MOGANED中func.py中报出TypeError: __call__() missing 1 required positional argument: 'state'错 HOT 9
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