Update README.md

README.md

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 # **KoQuality-Polyglot-5.8b**
 
 
-KoQuality-Polyglot-5.8b is an auto-regressive language model that conducts instruction tuning with KoQuality datasets on Polyglot-5.8b model. 
+KoQuality-Polyglot-5.8b is an auto-regressive language model that conducts instruction tuning with KoQuality datasets on Polyglot-5.8b model. Our best model is trained on [KoQuality dataset](https://huggingface.co/datasets/DILAB-HYU/KoQuality), which is curated by proposed method (len_group=5, k=100, method=ppl_sampling). 
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 ### Average accuracy score of the KoBEST datasets
 
-Our best model is trained on [KoQuality dataset](https://huggingface.co/datasets/DILAB-HYU/KoQuality), which is curated by proposed method (len_group=5, k=100, method=ppl_sampling). 
-We use KoBEST benchmark datasets(KoBEST_boolq, KoBEST_copa, KoBEST_hellaswag, KoBEST_sentineg, KoBEST_wic) to compare the performance of our best model and other models accuracy.
-Our model outperforms other models in the average accuracy score of the KoBEST datasets.
+We use KoBEST benchmark datasets(KoBEST_boolq, KoBEST_copa, KoBEST_hellaswag, KoBEST_sentineg, KoBEST_wic) to compare the performance of our best model and other models accuracy. Our model outperforms other models in the average accuracy score of the KoBEST datasets.
 <img src=https://cdn-uploads.huggingface.co/production/uploads/650fecfd247f564485f8fbcf/q4cCUCzRJa3m2f7oxI_FY.png style="max-width: 500px; width: 300%"/>