model update

README.md

@@ -159,20 +159,20 @@ RelBERT fine-tuned from [roberta-large](https://huggingface.co/roberta-large) on
 [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity).
 Fine-tuning is done via [RelBERT](https://github.com/asahi417/relbert) library (see the repository for more detail).
 It achieves the following results on the relation understanding tasks:
-- Analogy Question ([full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/analogy.json)):
+- Analogy Question ([dataset](https://huggingface.co/datasets/relbert/analogy_questions), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/analogy.json)):
     - Accuracy on SAT (full): 0.6925133689839572 
     - Accuracy on SAT: 0.6913946587537092
     - Accuracy on BATS: 0.7776542523624236
     - Accuracy on U2: 0.6535087719298246
     - Accuracy on U4: 0.6666666666666666
     - Accuracy on Google: 0.936
-- Lexical Relation Classification ([full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/classification.json))):
+- Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/classification.json))):
     - Micro F1 score on BLESS: 0.9153231881874341
     - Micro F1 score on CogALexV: 0.8509389671361502
     - Micro F1 score on EVALution: 0.6771397616468039
     - Micro F1 score on K&H+N: 0.9575015649996522
     - Micro F1 score on ROOT09: 0.9025383892196804
-- Relation Mapping ([full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/relation_mapping.json)):
+- Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/relation_mapping.json)):
     - Accuracy on Relation Mapping: 92.14285714285714 
 
 
@@ -214,7 +214,7 @@ The following hyperparameters were used during training:
 The full configuration can be found at [fine-tuning parameter file](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-a-nce/raw/main/trainer_config.json).
 
 ### Reference
-If you use any resource from T-NER, please consider to cite our [paper](https://aclanthology.org/2021.eacl-demos.7/).
+If you use any resource from RelBERT, please consider to cite our [paper](https://aclanthology.org/2021.eacl-demos.7/).
 
 ```