diff --git a/dataset/README_MINIGPTv2_FINETUNE.md b/dataset/README_MINIGPTv2_FINETUNE.md
index f658adc..280622e 100644
--- a/dataset/README_MINIGPTv2_FINETUNE.md
+++ b/dataset/README_MINIGPTv2_FINETUNE.md
@@ -1,26 +1,10 @@
 ## Download the COCO captions, RefCOCO, RefCOCO+. RefCOCOg, visual genome, textcaps, LLaVA, gqa, AOK-VQA, OK-VQA, OCR-VQA, filtered Flickr-30k, multi-task conversation, and Unnatural instruction datasets
 
-After downloading all of them, organize the data as follows in `./playground/data`,
-
-```
-├── coco
-│   └── train2017
-├── gqa
-│   └── images
-├── ocr_vqa
-│   └── images
-├── textvqa
-│   └── train_images
-└── vg
-    ├── VG_100K
-    └── VG_100K_2
-```
 
 ### COCO captions
 - [train2017](http://images.cocodataset.org/zips/train2017.zip)
 
 
-
 ### Visual genome
 - [part1](https://cs.stanford.edu/people/rak248/VG_100K_2/images.zip), [part2](https://cs.stanford.edu/people/rak248/VG_100K_2/images2.zip)
 ### TextCaps
@@ -70,12 +54,6 @@ Similarly, set **ann_path** in all the following configs to the above folder (Lo
 
 ### LLaVA
 
-### TextVQA
-Images, and question-answer pairs will be loaded during evaluation.
-
-### GQA
-Images, and question-answer pairs will be loaded during evaluation.
-
 ### OKVQA
 
 ### AOK-VQA