SlowGuess/ACL_2020_OCR huggingface dataset:
Table 3: Performance comparison under different evaluation protocols on WN18RR dataset. For TOP and BOTOM, we report changes in performance with respect to RANDOM protocol.  $\ddagger$ : CapsE uses the pre-trained 100-dimensional Glove (Pennington et al., 2014) word embeddings for initialization on WN18RR dataset, which makes the comparison on WN18RR still unfair.  $\dagger$ : KBAT has test data leakage in their original implementation, which is fixed in our experiments.
Figure 4: Plot shows the frequency of the number of negative triplets with the same assigned score as the valid triplet during evaluation on WN18RR dataset. The results show that Unlike FB15k-237, in this dataset, only ConvKB has a large number of negative triplets get the same score as the valid triplets.