Update README.md

README.md

@@ -9,15 +9,6 @@ The real-world datasets used for fine-tuning are available here:
 
 The corresponding test sets used in the paper can be reproduced using the preprocessing scripts in our GitHub repository under [`data/`](https://github.com/MLI-lab/TReconLM/tree/main/data).
 
-## Synthetic Dataset Generation
-
-Synthetic datasets are generated using [`data_generation.py`](https://github.com/MLI-lab/TReconLM/blob/main/src/data_pkg/data_generation.py). Each test set is created by:
-
-- Sampling a ground-truth sequence of length *L*
-- Introducing insertions, deletions, and substitutions with rates sampled uniformly from *[0.01, 0.1]*
-- Randomly selecting the number of noisy reads *N* between *2* and *10*
-
-
 ### Files Included
 
 - **`ground_truth.txt`**