Update README.md

README.md

@@ -1,8 +1,9 @@
 ---
 id: CardioNER.nl_128xtokenWindow
 name: CardioNER.nl_128xtokenWindow
-description: CardioBERTa.nl_clinical finetuned for multilabel NER task with tokenwindow
-  of 128
+description: >-
+  CardioBERTa.nl_clinical finetuned for multilabel NER task with tokenwindow of
+  128
 license: gpl-3.0
 language: nl
 tags:
@@ -16,21 +17,28 @@ tags:
 - bionlp
 base_model: UMCU/CardioBERTa.nl_clinical
 pipeline_tag: token-classification
+datasets:
+- DT4H/CardioCCC
+- UMCU/cardioccc_dutch
 ---
 
-# Model Card for Cardioner.Nl 128Xtokenwindow
-
-
+# Model Card for Cardioner.nl 128 
 
 This a UMCU/CardioBERTa.nl_clinical base model finetuned for span classification. For this model
 we used IOB-tagging. Using the IOB-tagging schema facilitates the aggregation of predictions
 over sequences. This specific model is trained on a batch of about 500 span-labeled documents.
 
+This is version was trained with context windows of 128 tokens. For the chunking we used a paragraph-based splitter.
+
 ### Expected input and output
-The input should be a string with **Dutch** clinical text related to **cardiology**
+The input should be a string with **Dutch** clinical text related to **cardiology**. 
 
-CardioNER.nl_128xtokenWindow is a multiclass span classification model.
-The classes that can be predicted are **procedure**, **medication**, **disease**, **symptom**.
+CardioNER.nl_128 is a multiclass span classification model.
+The classes that can be predicted are 
+* **procedure**,
+* **medication**,
+* **disease**,
+* **symptom**.
 
 #### Extracting span classification from CardioNER.nl_128xtokenWindow
 
@@ -69,6 +77,4 @@ This is part of the [DT4H project](https://www.datatools4heart.eu/).
 
 
 For more details about training/eval and other scripts, see CardioNER [github repo](https://github.com/DataTools4Heart/CardioNER).
-and for more information on the background, see Datatools4Heart [Huggingface](https://huggingface.co/DT4H)/[Website](https://www.datatools4heart.eu/)
-
-
+and for more information on the background, see Datatools4Heart [Huggingface](https://huggingface.co/DT4H)/[Website](https://www.datatools4heart.eu/)