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+/*
+ * Copyright (c) 2023 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ACL_TESTS_DATASETS_SMALLMATMULDATASET
+#define ACL_TESTS_DATASETS_SMALLMATMULDATASET
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/datasets/MatMulDataset.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SmallMatMulDataset final : public MatMulDataset
+{
+public:
+    SmallMatMulDataset()
+    {
+        add_config(TensorShape(3U, 4U, 2U, 2U), TensorShape(2U, 3U, 2U, 2U), TensorShape(2U, 4U, 2U, 2U));
+        add_config(TensorShape(9U, 6U), TensorShape(5U, 9U), TensorShape(5U, 6U));
+        add_config(TensorShape(31U, 1U), TensorShape(23U, 31U), TensorShape(23U, 1U));
+        add_config(TensorShape(8U, 4U, 2U), TensorShape(16U, 8U, 2U), TensorShape(16U, 4U, 2U));
+        add_config(TensorShape(32U, 2U), TensorShape(17U, 32U), TensorShape(17U, 2U));
+    }
+};
+
+class SmallerMatMulDataset final : public MatMulDataset
+{
+public:
+    SmallerMatMulDataset()
+    {
+        add_config(TensorShape(9U, 6U), TensorShape(5U, 9U), TensorShape(5U, 6U));
+        add_config(TensorShape(8U, 4U, 2U), TensorShape(16U, 8U, 2U), TensorShape(16U, 4U, 2U));
+        add_config(TensorShape(32U, 2U), TensorShape(17U, 32U), TensorShape(17U, 2U));
+    }
+};
+
+class TinyMatMulDataset final : public MatMulDataset
+{
+public:
+    TinyMatMulDataset()
+    {
+        add_config(TensorShape(1U), TensorShape(1U), TensorShape(1U));
+        add_config(TensorShape(2U, 2U), TensorShape(2U, 2U), TensorShape(2U, 2U));
+    }
+};
+
+class SmallMatMulDatasetRhsExportToCLImageRhsT final : public MatMulDataset
+{
+public:
+    // Some considerations:
+    //  1) K dimension should be a multiple of 4
+    //  See (2), (3), and (4) in SmallMatMulDatasetRhsExportToCLImageRhsNT
+    SmallMatMulDatasetRhsExportToCLImageRhsT()
+    {
+        add_config(TensorShape(8U /*K*/, 3U /*M*/, 2U, 1U, 2U), TensorShape(20U /*N*/, 8U /*K*/, 2U, 1U, 2U), TensorShape(20U /*N*/, 3U /*M*/, 2U, 1U, 2U));
+    }
+};
+
+class SmallMatMulDatasetRhsExportToCLImageRhsNT final : public MatMulDataset
+{
+public:
+    // Some considerations:
+    //  (1) N (Dimension 0 of Rhs matrix) dimension should be a multiple of 4
+    //  (2) Having N=20 enables us to test all possible N0 values, i.e. 4, 8, 16
+    //  (3) It's important to have more than one loop iterations in the K dimension
+    //      K has been chosen in accordance with K0
+    //  (4) The 5-th dimension has been chosen as non-unit because export_to_cl_iamge checks
+    //      were using dim1 * dim2 * dim3 to calculate the CLImage height; however, in our case
+    //      the tensor can be > 4D. To stress that case, the fifth dimension is chosen to be non-unit as well
+    SmallMatMulDatasetRhsExportToCLImageRhsNT()
+    {
+        add_config(TensorShape(7U, 3U, 2U, 1U, 2U), TensorShape(20U, 7U, 2U, 1U, 2U), TensorShape(20U, 3U, 2U, 1U, 2U));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ACL_TESTS_DATASETS_SMALLMATMULDATASET */