Update README.md

README.md

@@ -11,11 +11,24 @@ language:
 base_model:
 - liuhaotian/llava-pretrain-vicuna-7b-v1.3
 ---
+# Brief
 This is the LoRA Model of LLaVA 7B v1.3 trained on [Synergy-General-MultimodalPairs](https://huggingface.co/datasets/MaoXun/Synergy-General-MultimodalPairs).
 
-## Training procedure
+# Dataset
+## Link
+[Github](https://github.com/mao-code/Synergy-General-MultimodalPairs) | [Paper](https://link.springer.com/chapter/10.1007/978-981-97-6125-8_12)
 
-### Framework versions
+## Introduction
+This is a visual-text pair dataset synergistically generated by a text-to-image model and multimodal large language model.
 
+The name of the file means (n_th generation)\_(numbers of batch)\_(numbers of initial description of each batch)\_(numbers of refined cycles of each initial description)
+For example, the 1_20_10_5.zip means this dataset is dataset number one with 20 batches, 10 initial descriptions for each batch, and 5 refined cycles for each initial description.
+Therefore, this dataset has a total of 20\*10\*5=1000 image and text pair data.
 
+Once you unzip one of the datasets, you will see 2 files. The first is the zip file of images. The second is the CSV file which contains the image path and the description of this image.
+
+Here is the GitHub script of the generation process: https://github.com/mao-code/Synergy-General-MultimodalPairs
+
+
+# Framework versions
 - PEFT 0.4.0