update

SuperLim.py

@@ -175,7 +175,13 @@ class SuperLim(datasets.GeneratorBasedBuilder):
             features = datasets.Features(
                 {
                     "original sentence": datasets.Value("string"),
-                    "corrected sentence": datasets.Value("string")
+                    "corrected sentence": datasets.Value("string"),
+                    "error indices": datasets.Value("string"),
+                    "corrected indices": datasets.Value("string"),
+                    "error-corr pair": datasets.Value("string"),
+                    "error label": datasets.Value("string"),
+                    "l1": datasets.Value("string"),
+                    "approximate level":  datasets.Value("string"),
                     # These are the features of your dataset like images, labels ...
                 }
             )
@@ -189,6 +195,14 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "relation": datasets.Value("string"),
                 }
             )
+        elif self.config.name == "swediag":
+            features = datasets.Features(
+                {
+                    "Premise": datasets.Value("string"),
+                    "Hypothesis": datasets.Value("string"),
+                    "Label": datasets.Value("string"),
+                }
+            )
         else:  # This is an example to show how to have different features for "first_domain" and "second_domain"
             features = datasets.Features(
                 {
@@ -278,6 +292,12 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                 yield key, {
                     "original sentence": row["original sentence"],
                     "corrected sentence": row["corrected sentence"],
+                    "error indices": row["error indices"],
+                    "corrected indices": row["corrected indices"],
+                    "error-corr pair": row["error-corr pair"],
+                    "error label": row["error label"],
+                    "l1": row["l1"],
+                    "approximate level": row["approximate level"],
                 }
             elif self.config.name == "sweana":
                 yield key, {
@@ -287,6 +307,12 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "D": row["D"],
                     "relation": row["relation"],
                 }
+            elif self.config.name == "sweana":
+                yield key, {
+                     "Premise": row["Premise_SE"],
+                    "Hypothesis": row["Hypothesis_SE"],
+                    "Label": row["Label"],
+                }
             else:
                 yield key, {
                     "sentence": data["sentence"],