dataset and metric info

README.md

@@ -19,11 +19,14 @@ model-index:
   - task:
       type: named-entity-recognition-ner
       name: Named Entity Recognition
-    # dataset:
-    #   type: multinerd-a-multilingual-multi-genre-and-fine
-    #   name: MultiNERD
-    #   split: test
-    #   revision: 2814b78e7af4b5a1f1886fe7ad49632de4d9dd25
+    dataset:
+      type: Babelscape/multinerd
+      name: MultiNERD (English)
+      split: test
+      revision: 2814b78e7af4b5a1f1886fe7ad49632de4d9dd25
+      config: Babelscape/multinerd
+      args:
+        split: train[:50%]
     metrics:
     - type: f1
       value: 0.943
@@ -34,6 +37,7 @@ model-index:
     - type: recall
       value: 0.947
       name: Recall
+      config: seqeval
     paper: https://aclanthology.org/2022.findings-naacl.60.pdf
 base_model: roberta-base
 library_name: transformers