Update README.md

README.md

@@ -18,7 +18,7 @@ Our B2NER models, trained on B2NERD, outperform GPT-4 by 6.8-12.0 F1 points and
 See github repo for more information about data usage and this work.
 
 # Data
-One of the paper's core contribution is the construction of B2NERD dataset. It's a cohesive and efficient collection refined from 54 English and Chinese datasets and designed for Open NER model training.  
+One of the paper's core contribution is the construction of B2NERD dataset. It's a cohesive and efficient collection refined from 54 English and Chinese datasets and designed for Open NER model training. **The preprocessed test datasets (7 for Chinese NER and 7 for English NER) used for Open NER OOD evaluation in our paper are also included in the released dataset** to facilitate convenient evaluation for future research.  
 
 We provide 3 versions of our dataset.  
  - **`B2NERD` (Recommended)**: Contain ~52k samples from 54 Chinese or English datasets. This is the final version of our dataset suitable for out-of-domain / zero-shot NER model training. It features standardized entity definitions and pruned, diverse data.