Add README.md

README.md

@@ -7,18 +7,18 @@ tags:
 - mdeberta-v3-base
 license: mit
 datasets:
-- "bigbio/distemist"
+- "ehealth_kd"
 metrics:
 - f1
 
 model-index:
-- name: IIC/mdeberta-v3-base-distemist
+- name: IIC/mdeberta-v3-base-ehealth_kd
   results:
   - task:
       type: token-classification
     dataset:
-      name: distemist
-      type: bigbio/distemist
+      name: eHealth-KD
+      type: ehealth_kd
       split: test
     metrics:
       - name: f1
@@ -28,9 +28,9 @@ pipeline_tag: token-classification
 
 ---
 
-# mdeberta-v3-base-distemist
+# mdeberta-v3-base-ehealth_kd
 
-This model is a finetuned version of mdeberta-v3-base for the distemist dataset used in a benchmark in the paper TODO. The model has a F1 of 0.844
+This model is a finetuned version of mdeberta-v3-base for the eHealth-KD dataset used in a benchmark in the paper TODO. The model has a F1 of 0.844
 
 Please refer to the original publication for more information TODO LINK