diff --git a/src/mikrokondo_tools/samplesheet/samplesheet.py b/src/mikrokondo_tools/samplesheet/samplesheet.py
index 51c3d97..1c703e4 100644
--- a/src/mikrokondo_tools/samplesheet/samplesheet.py
+++ b/src/mikrokondo_tools/samplesheet/samplesheet.py
@@ -198,7 +198,7 @@ def organize_data(self) -> t.Dict[str, t.List[SampleRow]]:
         self.update_sample_sheet_se(sample_sheet, assemblies.items(), SampleRow.assembly_key())
         return sample_sheet
     
-    def update_sample_sheet_se(self, sample_sheet: t.Dict[str, t.List[SampleRow]], items: t.Iterable[tuple[str, list]], field: str):
+    def update_sample_sheet_se(self, sample_sheet: t.Dict[str, t.List[SampleRow]], items: t.Iterable[t.Tuple[str, list]], field: str):
         for k, v in items:
             existing_data = sample_sheet.get(k)
             if existing_data:
@@ -213,11 +213,11 @@ def update_sample_sheet_se(self, sample_sheet: t.Dict[str, t.List[SampleRow]], i
                 for ngs_data in v:
                     sample_sheet[k].append(SampleRow(sample=k, **{field: ngs_data}))
 
-    def get_ngs_data(self) -> tuple[t.Optional[t.Dict[str, tuple[t.List[p.Path], t.List[p.Path]]]], t.Optional[t.Dict[str, t.List[p.Path]]], t.Optional[t.Dict[str, t.List[p.Path]]]]:
+    def get_ngs_data(self) -> t.Tuple[t.Optional[t.Dict[str, t.Tuple[t.List[p.Path], t.List[p.Path]]]], t.Optional[t.Dict[str, t.List[p.Path]]], t.Optional[t.Dict[str, t.List[p.Path]]]]:
         """
         consolidate aggregate data into one data structure that can be validated
         """
-        pe_reads: t.Optional[t.Dict[str, tuple[t.List[p.Path], t.List[p.Path]]]] = None
+        pe_reads: t.Optional[t.Dict[str, t.Tuple[t.List[p.Path], t.List[p.Path]]]] = None
         se_reads: t.Optional[t.Dict[str, t.List[p.Path]]] = None
         fastas: t.Optional[t.Dict[str, t.List[p.Path]]] = None
 
@@ -230,11 +230,11 @@ def get_ngs_data(self) -> tuple[t.Optional[t.Dict[str, tuple[t.List[p.Path], t.L
             logger.error("No input files found for processing.")
         return (pe_reads, se_reads, fastas)
 
-    def get_paired_reads(self, reads: t.List[p.Path]) -> t.Dict[str, tuple[t.List[p.Path], t.List[p.Path]]]:
+    def get_paired_reads(self, reads: t.List[p.Path]) -> t.Dict[str, t.Tuple[t.List[p.Path], t.List[p.Path]]]:
         """
         Group the reads into bins of paired and unpaired reads
         """
-        r1_reads: t.Dict[str, tuple[t.List[p.Path], t.List[p.Path]]] = dict()
+        r1_reads: t.Dict[str, t.Tuple[t.List[p.Path], t.List[p.Path]]] = dict()
         
         for r in reads :
             if not r.match(f"**/*{self.extension_r1}*"):
@@ -245,7 +245,7 @@ def get_paired_reads(self, reads: t.List[p.Path]) -> t.Dict[str, tuple[t.List[p.
             else:
                 r1_reads[sample_name] = ([r], [])
 
-        r2_reads: t.List[tuple[str, p.Path]] = [(r.name[:r.name.rfind(self.extension_r2)], r) for r in reads if r.match(f"**/*{self.extension_r2}*")]
+        r2_reads: t.List[t.Tuple[str, p.Path]] = [(r.name[:r.name.rfind(self.extension_r2)], r) for r in reads if r.match(f"**/*{self.extension_r2}*")]
         for r2 in r2_reads:
             if r1 := r1_reads.get(r2[0]):
                 r1[1].append(r2[1])
@@ -274,7 +274,7 @@ def get_schema_input(url: str) -> json:
     return u.download_json(url, logger)
 
 
-def get_samples(directory: p.Path) -> tuple[t.List[p.Path], t.List[p.Path]]:
+def get_samples(directory: p.Path) -> t.Tuple[t.List[p.Path], t.List[p.Path]]:
     """
     Gather all sample information into one place for usage.