diff --git a/tests/datasets/ReorderLayerDataset.h b/tests/datasets/ReorderLayerDataset.h
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+++ b/tests/datasets/ReorderLayerDataset.h
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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_REORDERLAYERDATASET
+#define ACL_TESTS_DATASETS_REORDERLAYERDATASET
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+/** [ReorderLayer datasets] **/
+class ReorderLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, TensorShape, WeightFormat, WeightFormat>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator  in_it,
+                 std::vector<TensorShape>::const_iterator  out_it,
+                 std::vector<WeightFormat>::const_iterator _wf_in_it,
+                 std::vector<WeightFormat>::const_iterator _wf_out_it)
+            : _in_it{ std::move(in_it) },
+              _out_it{ std::move(out_it) },
+              _wf_in_it{ std::move(_wf_in_it) },
+              _wf_out_it{ std::move(_wf_out_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_in_it << ":";
+            description << "Out=" << *_out_it << ":";
+            description << "Wf_In=" << *_wf_in_it << ":";
+            description << "Wf_Out=" << *_wf_out_it;
+            return description.str();
+        }
+
+        ReorderLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_in_it, *_out_it, *_wf_in_it, *_wf_out_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_in_it;
+            ++_out_it;
+            ++_wf_in_it;
+            ++_wf_out_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator  _in_it;
+        std::vector<TensorShape>::const_iterator  _out_it;
+        std::vector<WeightFormat>::const_iterator _wf_in_it;
+        std::vector<WeightFormat>::const_iterator _wf_out_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_in_shapes.begin(), _out_shapes.begin(), _in_wfs.begin(), _out_wfs.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_in_shapes.size(), std::min(_out_shapes.size(), std::min(_in_wfs.size(), _out_wfs.size())));
+    }
+
+    void add_config(TensorShape in, TensorShape out, WeightFormat in_wf, WeightFormat out_wf)
+    {
+        _in_shapes.emplace_back(std::move(in));
+        _out_shapes.emplace_back(std::move(out));
+        _in_wfs.emplace_back(std::move(in_wf));
+        _out_wfs.emplace_back(std::move(out_wf));
+    }
+
+    // protected:
+    ReorderLayerDataset()                       = default;
+    ReorderLayerDataset(ReorderLayerDataset &&) = default;
+
+    private:
+    std::vector<TensorShape>  _in_shapes{};
+    std::vector<TensorShape>  _out_shapes{};
+    std::vector<WeightFormat> _in_wfs{};
+    std::vector<WeightFormat> _out_wfs{};
+};
+
+/** [ReorderLayer datasets] **/
+
+class ReorderLayerDatasetBlock4 final : public ReorderLayerDataset
+{
+    public:
+    ReorderLayerDatasetBlock4()
+    {
+        add_config(TensorShape(10U, 9U), TensorShape(10U, 12U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(16U, 16U), TensorShape(16U, 16U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(10U, 511U), TensorShape(10U, 512U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(234U, 301U), TensorShape(234U, 304U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(1024U, 1024U), TensorShape(1024U, 1024U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(10U, 9U, 1U, 1U), TensorShape(10U, 12U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(16U, 16U, 1U, 1U), TensorShape(16U, 16U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(10U, 511U, 1U, 1U), TensorShape(10U, 512U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(234U, 301U, 1U, 1U), TensorShape(234U, 304U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+        add_config(TensorShape(1024U, 1024U, 1U, 1U), TensorShape(1024U, 1024U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4);
+    }
+};
+
+class ReorderLayerDatasetBlock8 final : public ReorderLayerDataset
+{
+    public:
+    ReorderLayerDatasetBlock8()
+    {
+        add_config(TensorShape(10U, 9U), TensorShape(10U, 16U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(16U, 16U), TensorShape(16U, 16U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(10U, 511U), TensorShape(10U, 512U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(234U, 301U), TensorShape(234U, 304U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(1024U, 1024U), TensorShape(1024U, 1024U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(10U, 9U, 1U, 1U), TensorShape(10U, 16U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(16U, 16U, 1U, 1U), TensorShape(16U, 16U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(10U, 511U, 1U, 1U), TensorShape(10U, 512U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(234U, 301U, 1U, 1U), TensorShape(234U, 304U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+        add_config(TensorShape(1024U, 1024U, 1U, 1U), TensorShape(1024U, 1024U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8);
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ACL_TESTS_DATASETS_REORDERLAYERDATASET */