diff --git a/tests/test_collection.py b/tests/test_collection.py
new file mode 100644
index 0000000..2832930
--- /dev/null
+++ b/tests/test_collection.py
@@ -0,0 +1,78 @@
+# Copyright: Multiple Authors
+#
+# This file is part of sigmf-python. https://github.com/sigmf/sigmf-python
+#
+# SPDX-License-Identifier: LGPL-3.0-or-later
+
+"""Tests for collections"""
+
+import copy
+import os
+import shutil
+import tempfile
+import unittest
+from pathlib import Path
+
+import numpy as np
+from hypothesis import given
+from hypothesis import strategies as st
+
+from sigmf.archive import SIGMF_DATASET_EXT, SIGMF_METADATA_EXT, SIGMF_COLLECTION_EXT
+from sigmf.sigmffile import SigMFFile, SigMFCollection, fromfile
+
+from .testdata import TEST_FLOAT32_DATA, TEST_METADATA
+
+
+class TestCollection(unittest.TestCase):
+    """unit tests for colections"""
+
+    def setUp(self):
+        """create temporary path"""
+        self.temp_dir = Path(tempfile.mkdtemp())
+
+    def tearDown(self):
+        """remove temporary path"""
+        shutil.rmtree(self.temp_dir)
+
+    @given(st.sampled_from([".", "subdir/", "sub0/sub1/sub2/"]))
+    def test_load_collection(self, subdir: str) -> None:
+        """test path handling for collections"""
+        data_name1 = "dat1" + SIGMF_DATASET_EXT
+        data_name2 = "dat2" + SIGMF_DATASET_EXT
+        meta_name1 = "dat1" + SIGMF_METADATA_EXT
+        meta_name2 = "dat2" + SIGMF_METADATA_EXT
+        collection_name = "collection" + SIGMF_COLLECTION_EXT
+        data_path1 = self.temp_dir / subdir / data_name1
+        data_path2 = self.temp_dir / subdir / data_name2
+        meta_path1 = self.temp_dir / subdir / meta_name1
+        meta_path2 = self.temp_dir / subdir / meta_name2
+        collection_path = self.temp_dir / subdir / collection_name
+        os.makedirs(collection_path.parent, exist_ok=True)
+
+        # create data files
+        TEST_FLOAT32_DATA.tofile(data_path1)
+        TEST_FLOAT32_DATA.tofile(data_path2)
+
+        # create metadata files
+        metadata = copy.deepcopy(TEST_METADATA)
+        meta1 = SigMFFile(metadata=metadata, data_file=data_path1)
+        meta2 = SigMFFile(metadata=metadata, data_file=data_path2)
+        meta1.validate()
+        meta2.validate()
+        meta1.tofile(meta_path1)
+        meta2.tofile(meta_path2)
+
+        # create collection
+        collection = SigMFCollection(
+            metafiles=[meta_name1, meta_name2],
+            collection_path=str(self.temp_dir / subdir),
+        )
+        collection.tofile(collection_path)
+
+        # load collection
+        collection_loopback = fromfile(collection_path)
+        meta1_loopback = collection_loopback.get_SigMFFile(stream_index=0)
+        meta2_loopback = collection_loopback.get_SigMFFile(stream_index=1)
+
+        self.assertTrue(np.array_equal(TEST_FLOAT32_DATA, meta1_loopback.read_samples()))
+        self.assertTrue(np.array_equal(TEST_FLOAT32_DATA, meta2_loopback[:]))
diff --git a/tests/test_collection_path.py b/tests/test_collection_path.py
deleted file mode 100644
index bfc3242..0000000
--- a/tests/test_collection_path.py
+++ /dev/null
@@ -1,99 +0,0 @@
-# Copyright: Multiple Authors
-#
-# This file is part of sigmf-python. https://github.com/sigmf/sigmf-python
-#
-# SPDX-License-Identifier: LGPL-3.0-or-later
-
-"""Tests for path handling for collections."""
-
-from typing import cast
-import os
-import numpy as np
-import pytest
-from sigmf.sigmffile import SigMFFile, SigMFCollection, fromfile
-
-
-@pytest.mark.parametrize(
-    ["index", "dir_path"],
-    enumerate(
-        [
-            "",
-            ".",
-            "./",
-            "test_subdir",
-            "test_subdir/",
-            "./test_subdir",
-            "./test_subdir/",
-        ]
-    ),
-)
-def test_load_collection(index: int, dir_path: str) -> None:
-    """Unit test - path handling for collections."""
-    data_file1_name = f"data{index}_1.sigmf-data"
-    data_file2_name = f"data{index}_2.sigmf-data"
-    meta_file1_name = f"data{index}_1.sigmf-meta"
-    meta_file2_name = f"data{index}_2.sigmf-meta"
-    collection_file_name = f"collection{index}.sigmf-collection"
-    data_file1_path = os.path.join(dir_path, data_file1_name)
-    data_file2_path = os.path.join(dir_path, data_file2_name)
-    meta_file1_path = os.path.join(dir_path, meta_file1_name)
-    meta_file2_path = os.path.join(dir_path, meta_file2_name)
-    collection_file_path = os.path.join(dir_path, collection_file_name)
-
-    # create dir if necessary
-    try:
-        if dir_path:
-            os.makedirs(dir_path)
-    except FileExistsError:
-        pass
-
-    # create data files
-    data_in1 = np.arange(10, dtype=np.int16)
-    data_in2 = np.arange(20, dtype=np.float32)
-    data_in1.tofile(data_file1_path)
-    data_in2.tofile(data_file2_path)
-
-    # create metadata files
-    metadata1 = {
-        SigMFFile.GLOBAL_KEY: {
-            SigMFFile.DATATYPE_KEY: "ri16_le",
-        },
-        SigMFFile.CAPTURE_KEY: [
-            {
-                SigMFFile.START_INDEX_KEY: 0,
-            }
-        ],
-        SigMFFile.ANNOTATION_KEY: [],
-    }
-    metadata2 = {
-        SigMFFile.GLOBAL_KEY: {
-            SigMFFile.DATATYPE_KEY: "rf32_le",
-        },
-        SigMFFile.CAPTURE_KEY: [
-            {
-                SigMFFile.START_INDEX_KEY: 0,
-            }
-        ],
-        SigMFFile.ANNOTATION_KEY: [],
-    }
-    meta_file1 = SigMFFile(metadata=metadata1, data_file=data_file1_path)
-    meta_file2 = SigMFFile(metadata=metadata2, data_file=data_file2_path)
-    meta_file1.tofile(meta_file1_path)
-    meta_file2.tofile(meta_file2_path)
-
-    # create collection
-    collection = SigMFCollection(
-        metafiles=[meta_file1_name, meta_file2_name],
-        collection_path=dir_path,
-    )
-    collection.tofile(collection_file_path)
-
-    # load collection
-    datasets = cast(SigMFCollection, fromfile(collection_file_path))
-    dataset1 = cast(SigMFFile, datasets.get_SigMFFile(stream_index=0))
-    dataset2 = cast(SigMFFile, datasets.get_SigMFFile(stream_index=1))
-    data_out1 = dataset1.read_samples(autoscale=False)
-    data_out2 = dataset2.read_samples(autoscale=False)
-
-    assert np.array_equal(data_in1, data_out1)
-    assert np.array_equal(data_in2, data_out2)