Update README.md

README.md

@@ -107,7 +107,7 @@ It is obtained by pre-training on [`seanghay/khmer-hanuman-100k`](https://huggin
 
 ### KhmerSynthetic1M
 
-`KhmerSynthetic1M` is a dataset by `Mr. Soy Vitou`.
+`KhmerSynthetic1M` is a dataset by [`Mr. Soy Vitou`](https://huggingface.co/SoyVitou).
 This dataset contains images in gray monochromatic color palette (black, white, gray, etc.,).
 The distribution of the number of tokens, _i.e._ frequency of each number of tokens, is fairly uniform.
 In particular, the maximum number of tokens is around $120$.
@@ -116,7 +116,7 @@ This implies that there are images with aspect ratio largely higher than $4$.
 
 ### khmer-hanuman-100k
 
-This dataset by `Mr. Yat Seanghay` contains images with a variety of background colors and character colors.
+This dataset by [`Mr. Yat Seanghay`](https://huggingface.co/seanghay) contains images with a variety of background colors and character colors.
 
 ### KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
 
@@ -196,7 +196,7 @@ def init_weights(self, module: nn.Module, name: str = '', exclude: Sequence[str]
 But, both models are be trained thanks to their free credits.
 So, huge thanks to [`LightningAI`](https://lightning.ai) and `Google Colab`.
 
-Thanks to **Mr. Yat Seanghay** and **Mr. Soy Vitou** for their publicly available dataset.
+Thanks to all the authors of publicly available datasets.
 
 
 ## Model Card Contact