diff --git a/vignettes/data_import.Rmd b/vignettes/data_import.Rmd
index 5bf74fd..669de6a 100644
--- a/vignettes/data_import.Rmd
+++ b/vignettes/data_import.Rmd
@@ -225,7 +225,6 @@ The `metaphlan` format is another commonly used format in bioinformatics for
 microbiome sequencing data. Here's how you can import data in `metaphlan` 
 format to `TreeSummarizedExperiment.`
 
-
 ### To TreeSummarizedExperiment
 
 To convert data from the `metaphlan` format to the `TreeSummarizedExperiment` 
@@ -238,15 +237,20 @@ tse_metaphlan <- mia::loadFromMetaphlan(
   file = system.file("extdata", "merged_abundance_table.txt", package = "mia"),
 )
 
-tse_metaphlan
+tse_metaphlan <- TreeSummarizedExperiment::TreeSummarizedExperiment(
+  assays = list(counts = SummarizedExperiment::assay(tse_metaphlan)),
+  rowData = SummarizedExperiment::rowData(tse_metaphlan),
+  colData = SummarizedExperiment::colData(tse_metaphlan) |> 
+    as.data.frame() |> 
+    dplyr::mutate(condition = rep(c("A", "B"), times = 3))
+)
 
 # Recipe init
-rec <- dar::recipe(tse_metaphlan)
+rec <- dar::recipe(tse_metaphlan, var_info = "condition", tax_info = "Genus")
 
 rec
 ```
 
-
 ## Conclusion
 
 In this guide, we have explored various methods for importing microbiome