Update README.md

README.md

@@ -19,11 +19,13 @@ Our B2NER models, trained on B2NERD, outperform GPT-4 by 6.8-12.0 F1 points and
 # 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.  
 
-In downloaded file, 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 has standardized entity definitions and pruned diverse data.   
- - `B2NERD_all`: Contain ~1.4M samples from 54 datasets. The full-data version of our dataset suitable for in-domain supervised evaluation. It has standardized entity definitions but does not go through any data selection or pruning.  
- - `B2NERD_raw`: Raw collected datasets with raw entity labels. It goes through basic format preprocessing but without further standardization.
+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.  
+ - `B2NERD_all`: Contain ~1.4M samples from 54 datasets. The full-data version of our dataset suitable for in-domain supervised evaluation. It has standardized entity definitions but does not undergo any data selection or pruning.  
+ - `B2NERD_raw`: The raw collected datasets with raw entity labels. It goes through basic format preprocessing but without further standardization.
 
+You can download the data from [HuggingFace](https://huggingface.co/datasets/Umean/B2NERD) or [Google Drive](https://drive.google.com/file/d/1JW3ZZPlJ5vm_upn0msihI9FQjo4TmZDI/view?usp=sharing).  
+Please ensure that you have the proper licenses to access the raw datasets in our collection.
 
 Below are the datasets statistics and source datasets for `B2NERD` dataset.