Update README.md

README.md

@@ -24,7 +24,7 @@ tags:
 - medical
 - biology
 size_categories:
-- 10B<n<100B
+- 1B<n<10B
 ---
 
 From this repository you can download the **BioBERT_Italian** dataset.
@@ -33,6 +33,16 @@ From this repository you can download the **BioBERT_Italian** dataset.
 
 Due to the unavailability of an Italian equivalent for the millions of abstracts and full-text scientific papers used by English, BERT-based biomedical models, we leveraged machine translation to obtain an Italian biomedical corpus based on PubMed abstracts and train [**BioBIT**](https://www.sciencedirect.com/science/article/pii/S1532046423001521).
 
+Corpus statistics:
+- Total Tokens*: 6.2 B
+- Average tokens per example: 359
+- Max tokens per example: 2132
+- Min tokens per example: 5
+- Standard deviation: 137
+
+*Tokenization with [**BioBIT**](https://huggingface.co/IVN-RIN/bioBIT) tokenizer
+
+
 **BioBIT Model**
 
 [**BioBIT**](https://www.sciencedirect.com/science/article/pii/S1532046423001521) has been evaluated on 3 downstream tasks: **NER** (Named Entity Recognition), extractive **QA** (Question Answering), **RE** (Relation Extraction).
@@ -54,7 +64,7 @@ Here are the results, summarized:
 
 **MedPsyNIT Model**
 
-We also [**fine-tuned BioBIT**](https://www.sciencedirect.com/science/article/pii/S1532046423002782) on [**PsyNIT**](IVN-RIN/PsyNIT) (Psychiatric Ner for ITalian), a native Italian **NER** (Named Entity Recognition) dataset, composed by [Italian Research Hospital Centro San Giovanni Di Dio Fatebenefratelli](https://www.fatebenefratelli.it/strutture/irccs-brescia).
+We also [**fine-tuned BioBIT**](https://www.sciencedirect.com/science/article/pii/S1532046423002782) on [**PsyNIT**](https://huggingface.co/IVN-RIN/PsyNIT) (Psychiatric Ner for ITalian), a native Italian **NER** (Named Entity Recognition) dataset, composed by [Italian Research Hospital Centro San Giovanni Di Dio Fatebenefratelli](https://www.fatebenefratelli.it/strutture/irccs-brescia).
 
 **Correspondence to**