Update README.md

README.md

@@ -35,11 +35,15 @@ for split, path in paths.items():
     # encode labels using the default mapping used by other nli datasets
     # i.e, entailment: 0, neutral: 1, contradiction: 2
     df.columns = df.columns.str.lower()
-    if not "test" in path:
-        df["label"] = df["label"].map({"entailment": 0, "neutral": 1, "contradiction": 2})
 
-    else:
+    if "test" in path:
         df["label"] = -1
+    
+    else:
+        # remove empty labels
+        df = df.loc[~df["label"].isna()]
+        # encode labels
+        df["label"] = df["label"].map({"entailment": 0, "neutral": 1, "contradiction": 2})
 
     # cast to dataset
     features = Features({