diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcArrayColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcArrayColumnVector.java
index 6e13e97b4cbc..b0c818f5a4df 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcArrayColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcArrayColumnVector.java
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution.datasources.orc;
 
 import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ListColumnVector;
 
 import org.apache.spark.sql.types.ArrayType;
 import org.apache.spark.sql.types.DataType;
@@ -31,26 +32,22 @@
  */
 public class OrcArrayColumnVector extends OrcColumnVector {
   private final OrcColumnVector data;
-  private final long[] offsets;
-  private final long[] lengths;
 
   OrcArrayColumnVector(
       DataType type,
       ColumnVector vector,
-      OrcColumnVector data,
-      long[] offsets,
-      long[] lengths) {
+      OrcColumnVector data) {
 
     super(type, vector);
 
     this.data = data;
-    this.offsets = offsets;
-    this.lengths = lengths;
   }
 
   @Override
   public ColumnarArray getArray(int rowId) {
-    return new ColumnarArray(data, (int) offsets[rowId], (int) lengths[rowId]);
+    int offsets = (int) ((ListColumnVector) baseData).offsets[rowId];
+    int lengths = (int) ((ListColumnVector) baseData).lengths[rowId];
+    return new ColumnarArray(data, offsets, lengths);
   }
 
   @Override
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
index 0becd2572f99..7fe1b306142e 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
@@ -29,7 +29,7 @@
  * this column vector is used to adapt Hive ColumnVector with Spark ColumnarVector.
  */
 public abstract class OrcColumnVector extends org.apache.spark.sql.vectorized.ColumnVector {
-  private final ColumnVector baseData;
+  protected final ColumnVector baseData;
   private int batchSize;
 
   OrcColumnVector(DataType type, ColumnVector vector) {
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVectorUtils.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVectorUtils.java
index 3bc7cc8f8014..89f6996e4610 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVectorUtils.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVectorUtils.java
@@ -53,15 +53,13 @@ static OrcColumnVector toOrcColumnVector(DataType type, ColumnVector vector) {
       ListColumnVector listVector = (ListColumnVector) vector;
       OrcColumnVector dataVector = toOrcColumnVector(
         ((ArrayType) type).elementType(), listVector.child);
-      return new OrcArrayColumnVector(
-        type, vector, dataVector, listVector.offsets, listVector.lengths);
+      return new OrcArrayColumnVector(type, vector, dataVector);
     } else if (vector instanceof MapColumnVector) {
       MapColumnVector mapVector = (MapColumnVector) vector;
       MapType mapType = (MapType) type;
       OrcColumnVector keysVector = toOrcColumnVector(mapType.keyType(), mapVector.keys);
       OrcColumnVector valuesVector = toOrcColumnVector(mapType.valueType(), mapVector.values);
-      return new OrcMapColumnVector(
-        type, vector, keysVector, valuesVector, mapVector.offsets, mapVector.lengths);
+      return new OrcMapColumnVector(type, vector, keysVector, valuesVector);
     } else {
       throw new IllegalArgumentException(
         String.format("OrcColumnVectorUtils.toOrcColumnVector should not take %s as type " +
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcMapColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcMapColumnVector.java
index ace8d157792d..7eedd8b59412 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcMapColumnVector.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcMapColumnVector.java
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution.datasources.orc;
 
 import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.MapColumnVector;
 
 import org.apache.spark.sql.types.DataType;
 import org.apache.spark.sql.types.Decimal;
@@ -32,28 +33,24 @@
 public class OrcMapColumnVector extends OrcColumnVector {
   private final OrcColumnVector keys;
   private final OrcColumnVector values;
-  private final long[] offsets;
-  private final long[] lengths;
 
   OrcMapColumnVector(
       DataType type,
       ColumnVector vector,
       OrcColumnVector keys,
-      OrcColumnVector values,
-      long[] offsets,
-      long[] lengths) {
+      OrcColumnVector values) {
 
     super(type, vector);
 
     this.keys = keys;
     this.values = values;
-    this.offsets = offsets;
-    this.lengths = lengths;
   }
 
   @Override
   public ColumnarMap getMap(int ordinal) {
-    return new ColumnarMap(keys, values, (int) offsets[ordinal], (int) lengths[ordinal]);
+    int offsets = (int) ((MapColumnVector) baseData).offsets[ordinal];
+    int lengths = (int) ((MapColumnVector) baseData).lengths[ordinal];
+    return new ColumnarMap(keys, values, offsets, lengths);
   }
 
   @Override
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala
index 8bc92f8d57ad..038606b854d9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala
@@ -744,6 +744,28 @@ abstract class OrcQuerySuite extends OrcQueryTest with SharedSparkSession {
     }
   }
 
+  test("SPARK-37728: Reading nested columns with ORC vectorized reader should not " +
+    "cause ArrayIndexOutOfBoundsException") {
+    withTempPath { dir =>
+      val path = dir.getCanonicalPath
+      val df = spark.range(100).map { _ =>
+        val arrayColumn = (0 until 50).map(_ => (0 until 1000).map(k => k.toString))
+        arrayColumn
+      }.toDF("record").repartition(1)
+      df.write.format("orc").save(path)
+
+      withSQLConf(SQLConf.ORC_VECTORIZED_READER_NESTED_COLUMN_ENABLED.key -> "true") {
+        val readDf = spark.read.orc(path)
+        val vectorizationEnabled = readDf.queryExecution.executedPlan.find {
+          case scan @ (_: FileSourceScanExec | _: BatchScanExec) => scan.supportsColumnar
+          case _ => false
+        }.isDefined
+        assert(vectorizationEnabled)
+        checkAnswer(readDf, df)
+      }
+    }
+  }
+
   test("SPARK-36594: ORC vectorized reader should properly check maximal number of fields") {
     withTempPath { dir =>
       val path = dir.getCanonicalPath