Update README.md

README.md

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 license: mit
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 ## Sumary
-This dataset provides a benchmark for evaluating the model's ability to leverage richer genetic information from longer sequences to achieve more accurate inference. Using data from the Human Pangenome Reference Consortium (BioProject ID: PRJNA730823), we designed a population classification task focusing on African, East Asian, and European population groups. From samples' VCF file and the reference genome sequence, we generated sample pseudo-sequences. Based on variant site information recorded in the VCF file, we extracted a variant-dense region from chromosome 9. We used three sequence lengths: 8,192 bp (8K), 32,768 bp (32K), and 131,072 bp (128K). An XGBoost classifier was employed to perform classification predictions for individual sequences.
+This dataset provides a benchmark for evaluating the model's ability to leverage richer genetic information from longer sequences to achieve more accurate inference. 
+Using data from the Human Pangenome Reference Consortium (BioProject ID: PRJNA730823), we designed a population classification task focusing on African, East Asian, and European population groups. 
+From samples' VCF file and the reference genome sequence, we generated sample pseudo-sequences. 
+Based on variant site information recorded in the VCF file, we extracted a variant-dense region from chromosome 9. 
+We used three sequence lengths: **8,192 bp (8K)**, **32,768 bp (32K)**, and **131,072 bp (128K)**. An XGBoost classifier was employed to perform classification predictions for individual sequences.
 
 ## Usage
 ```python