diff --git a/docs/en/transformer_entries/AlbertForQuestionAnswering.md b/docs/en/transformer_entries/AlbertForQuestionAnswering.md
index 3e24e6125113a8..1b2e1554f1e0ea 100644
--- a/docs/en/transformer_entries/AlbertForQuestionAnswering.md
+++ b/docs/en/transformer_entries/AlbertForQuestionAnswering.md
@@ -39,7 +39,7 @@ from pyspark.ml import Pipeline
 
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = AlbertForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \
diff --git a/docs/en/transformer_entries/BertForQuestionAnswering.md b/docs/en/transformer_entries/BertForQuestionAnswering.md
index ade4143f150bf4..165bccce4bde0e 100644
--- a/docs/en/transformer_entries/BertForQuestionAnswering.md
+++ b/docs/en/transformer_entries/BertForQuestionAnswering.md
@@ -39,7 +39,7 @@ from sparknlp.annotator import *
 from pyspark.ml import Pipeline
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = BertForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \
diff --git a/docs/en/transformer_entries/DeBertaForQuestionAnswering.md b/docs/en/transformer_entries/DeBertaForQuestionAnswering.md
index 84b19de338f086..60918ac625071c 100644
--- a/docs/en/transformer_entries/DeBertaForQuestionAnswering.md
+++ b/docs/en/transformer_entries/DeBertaForQuestionAnswering.md
@@ -39,7 +39,7 @@ from pyspark.ml import Pipeline
 
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = DeBertaForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \
diff --git a/docs/en/transformer_entries/DistilBertForQuestionAnswering.md b/docs/en/transformer_entries/DistilBertForQuestionAnswering.md
index eaef9740ffb35d..123b549aa9915f 100644
--- a/docs/en/transformer_entries/DistilBertForQuestionAnswering.md
+++ b/docs/en/transformer_entries/DistilBertForQuestionAnswering.md
@@ -39,7 +39,7 @@ from pyspark.ml import Pipeline
 
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = DistilBertForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \
diff --git a/docs/en/transformer_entries/LongformerForQuestionAnswering.md b/docs/en/transformer_entries/LongformerForQuestionAnswering.md
index 240145a85a898f..a3733e2cd250fa 100644
--- a/docs/en/transformer_entries/LongformerForQuestionAnswering.md
+++ b/docs/en/transformer_entries/LongformerForQuestionAnswering.md
@@ -39,7 +39,7 @@ from pyspark.ml import Pipeline
 
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = LongformerForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \
diff --git a/docs/en/transformer_entries/RoBertaForQuestionAnswering.md b/docs/en/transformer_entries/RoBertaForQuestionAnswering.md
index d039ff91ce568b..10d80050e8b793 100644
--- a/docs/en/transformer_entries/RoBertaForQuestionAnswering.md
+++ b/docs/en/transformer_entries/RoBertaForQuestionAnswering.md
@@ -39,7 +39,7 @@ from pyspark.ml import Pipeline
 
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = RoBertaForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \
diff --git a/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md b/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md
index affbb7c7a1a6ac..6920b51fb20118 100644
--- a/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md
+++ b/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md
@@ -39,7 +39,7 @@ from pyspark.ml import Pipeline
 
 documentAssembler = MultiDocumentAssembler() \
     .setInputCols(["question", "context"]) \
-    .setOutputCol(["document_question", "document_context"])
+    .setOutputCols(["document_question", "document_context"])
 
 spanClassifier = XlmRoBertaForQuestionAnswering.pretrained() \
     .setInputCols(["document_question", "document_context"]) \