Update README.md

add description for custom-caption part

README.md

@@ -109,10 +109,15 @@ sentences = [
     "Create the original colors of this image"
 ]
 ```
+- **custom-caption:** Provides prompts generated by
+  [CLIP Interrogator](https://github.com/pharmapsychotic/clip-interrogator/tree/main) with `'ViT-H-14/laion2b_s32b_b79k'` model.
+  Then filter with `'csv_filter.py'` to remove unlikely words, such as black and white, monochrome, grainy, desaturated, etc.
+  For more details about the prompts filtering criteria,
+  refer to the [Dataset-for-Image-Colorization](https://github.com/nick8592/Dataset-for-Image-Colorization.git) repository.
 
 ### Loading the Dataset
 
-You can load this dataset using the Hugging Face `datasets` library:
+You can load this dataset using the Hugging Face `'datasets'` library:
 ```python
 from datasets import load_dataset
 ```
@@ -133,6 +138,14 @@ train_dataset = load_dataset("nickpai/coco2017-colorization", split="train", rev
 val_dataset = load_dataset("nickpai/coco2017-colorization", split="validation", revision="caption-free")
 ```
 
+#### Custom-Caption Branch
+```python
+# Load the train split of the colorization dataset from the custom-caption branch
+train_dataset = load_dataset("nickpai/coco2017-colorization", split="train", revision="custom-caption")
+# Load the validation split of the colorization dataset from the custom-caption branch
+val_dataset = load_dataset("nickpai/coco2017-colorization", split="validation", revision="custom-caption")
+```
+
 ## Filtering Criteria
 
 ### 1. Grayscale Images
@@ -147,4 +160,5 @@ val_dataset = load_dataset("nickpai/coco2017-colorization", split="validation",
 - Images with low color variance, determined by a specified threshold, are removed.
 - Low color variance can indicate poor image quality or uniform color distribution.
 
-For more details about the filtering criteria, refer to the [Dataset-for-Image-Colorization](https://github.com/nick8592/Dataset-for-Image-Colorization.git) repository.
+For more details about the image filtering criteria, 
+refer to the [Dataset-for-Image-Colorization](https://github.com/nick8592/Dataset-for-Image-Colorization.git) repository.