Upload DiscoEval.py

DiscoEval.py

@@ -105,7 +105,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         if self.config.name in [constants.SPARXIV, constants.SPROCSTORY, constants.SPWIKI]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
-                for i in range(constants.SP_TEXT_COLUMNS + 1)
+                for i in range(constants.SP_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.SP_LABELS)
             features = datasets.Features(features_dict)
@@ -113,7 +113,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         elif self.config.name in [constants.BSOARXIV, constants.BSOWIKI, constants.BSOROCSTORY]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
-                for i in range(constants.BSO_TEXT_COLUMNS + 1)
+                for i in range(constants.BSO_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.BSO_LABELS)
             features = datasets.Features(features_dict)
@@ -121,7 +121,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         elif self.config.name in [constants.DCCHAT, constants.DCWIKI]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
-                for i in range(constants.DC_TEXT_COLUMNS + 1)
+                for i in range(constants.DC_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.DC_LABELS)
             features = datasets.Features(features_dict)
@@ -129,7 +129,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         elif self.config.name in [constants.RST]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: [datasets.Value('string')]
-                for i in range(constants.RST_TEXT_COLUMNS + 1)
+                for i in range(constants.RST_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.RST_LABELS)
             features = datasets.Features(features_dict)
@@ -137,7 +137,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         elif self.config.name in [constants.PDTB_E]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
-                for i in range(constants.PDTB_E_TEXT_COLUMNS + 1)
+                for i in range(constants.PDTB_E_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.PDTB_E_LABELS)
             features = datasets.Features(features_dict)
@@ -145,7 +145,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         elif self.config.name in [constants.PDTB_I]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
-                for i in range(constants.PDTB_I_TEXT_COLUMNS + 1)
+                for i in range(constants.PDTB_I_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.PDTB_I_LABELS)
             features = datasets.Features(features_dict)
@@ -153,7 +153,7 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         elif self.config.name in [constants.SSPABS]:
             features_dict = {
                 constants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
-                for i in range(constants.SSPABS_TEXT_COLUMNS + 1)
+                for i in range(constants.SSPABS_TEXT_COLUMNS)
             }
             features_dict[constants.LABEL_NAME] = datasets.ClassLabel(names=constants.SSPABS_LABELS)
             features = datasets.Features(features_dict)