diff --git a/dataset/README_MINIGPTv2_FINETUNE.md b/dataset/README_MINIGPTv2_FINETUNE.md
index a526d28..5da190b 100644
--- a/dataset/README_MINIGPTv2_FINETUNE.md
+++ b/dataset/README_MINIGPTv2_FINETUNE.md
@@ -6,6 +6,7 @@ Download the dataset
 Image source | Download path
 --- | :---:
 COCO 2014 images | <a href="http://images.cocodataset.org/zips/train2014.zip">images</a> &nbsp;&nbsp;  <a href="https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_train.json"> captions</a>
+COCO VQA | <a href="https://storage.googleapis.com/sfr-vision-language-research/LAVIS/datasets/vqav2/vqa_train.json">vqa train</a> &nbsp;&nbsp;  <a href="https://storage.googleapis.com/sfr-vision-language-research/LAVIS/datasets/vqav2/vqa_val.json"> vqa val</a>
 Visual Genome |  <a href="https://cs.stanford.edu/people/rak248/VG_100K_2/images.zip">images part1</a> <a href="https://cs.stanford.edu/people/rak248/VG_100K_2/images2.zip">images part2</a>
 TextCaps | <a href="https://cs.stanford.edu/people/rak248/VG_100K_2/images.zip">images</a> <a href="https://dl.fbaipublicfiles.com/textvqa/data/textcaps/TextCaps_0.1_train.json"> annotations</a> 
 RefCOCO | <a href="https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco.zip"> annotations </a>
@@ -16,8 +17,14 @@ OKVQA | <a href="https://storage.googleapis.com/sfr-vision-language-research/LAV
 AOK-VQA | <a href="https://prior-datasets.s3.us-east-2.amazonaws.com/aokvqa/aokvqa_v1p0.tar.gz"> annotations </a>
 OCR-VQA | <a href="https://drive.google.com/drive/folders/1_GYPY5UkUy7HIcR0zq3ZCFgeZN7BAfm_?usp=sharing"> annotations </a>
 Filtered Flickr-30k |  <a href="https://drive.google.com/drive/folders/19c_ggBI77AvdtYlPbuI0ZpnPz73T5teX?usp=sharing"> annotations </a>
-Multi-task conversation ｜ <a href="https://drive.google.com/file/d/11HHqB2c29hbSk-WLxdta-nG8UCUrcCN1/view?usp=sharing"> annotations </a> 
-Filtered unnatural instruction ｜ <a href="https://drive.google.com/file/d/1lXNnBcb5WU-sc8Fe2T2N8J0NRw4sBLev/view?usp=sharing"> annotations </a>
+Multi-task conversation |  <a href="https://drive.google.com/file/d/11HHqB2c29hbSk-WLxdta-nG8UCUrcCN1/view?usp=sharing"> annotations </a> 
+Filtered unnatural instruction |  <a href="https://drive.google.com/file/d/1lXNnBcb5WU-sc8Fe2T2N8J0NRw4sBLev/view?usp=sharing"> annotations </a>
+
+
+
+### COCO captions
+Download the COCO 2014 images and captions
+
 
 ```
 ├── ${MINIGPTv2_DATASET}
@@ -28,55 +35,79 @@ Filtered unnatural instruction ｜ <a href="https://drive.google.com/file/d/1lXN
 
 ```
 
+Set **image_path** to the COCO 2014 image folder.
+Similarly, set **ann_path** to the coco_karpathy_train.json path
+- [minigpt4/configs/datasets/coco/caption.yaml](../minigpt4/configs/datasets/coco/caption.yaml)
 
+### COCO VQA
+Download the vqa v2 train and validation json files
 
-### COCO captions
-
-
-
-Download the COCO 2014 images
-- [train2014](http://images.cocodataset.org/zips/train2014.zip)
-
+```
+├── ${MINIGPTv2_DATASET}
+│   ├── vqav2
+│       ├── vqa_train.json
+|       ├── vqa_val.json
+```
 
+Set **image_path** to the COCO 2014 image folder.
+Similarly, set **ann_path** to the vqa_train.json and vqa_val.json path
+- [minigpt4/configs/datasets/coco/defaults_vqa.yaml](../minigpt4/configs/datasets/coco/defaults_vqa.yaml)
 
 
 ### Visual genome
+Download visiual genome images and annotation files
+
+```
+├── ${MINIGPTv2_DATASET}
+│   ├── visual_genome
+│       ├── VG_100K
+│       ├── VG_100K_2
+|       ├── region_descriptions.json
+```
+
+Set **image_path** to visual_genome folder.
+Similarly, set **ann_path** to to visual_genome folder.
+
+- [minigpt4/configs/datasets/vg/ref.yaml](../minigpt4/configs/datasets/vg/ref.yaml)
 
-- [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
+Download the TextCaps images and annotation files
 
-- [TextCaps_0.1_train](https://dl.fbaipublicfiles.com/textvqa/data/textcaps/TextCaps_0.1_train.json)
-- [Images](https://dl.fbaipublicfiles.com/textvqa/images/train_val_images.zip)
+```
+├── ${MINIGPTv2_DATASET}
+│   ├── TextCaps
+│       ├── train_images
+│       ├── TextCaps_0.1_train.json
+```
+
+Set **image_path** to TextCaps train_images folder.
+Similarly, set **ann_path** to the TextCaps_0.1_train.json path
+
+- [minigpt4/configs/datasets/textcaps/caption.yaml](../minigpt4/configs/datasets/textcaps/caption.yaml)
 
 ### RefCOCO, RefCOCO+, RefCOCOg
-Make sure you have the COCO 2014 images first. 
-
-Then,
-download RefCOCO, RefCOCO+, and RefCOCOg annotation files in the following links.
-
-- https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco.zip
-- https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco+.zip
-- https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcocog.zip
-
-Unzip these files to the location you like. It should have the structure like the following
+Download the RefCOCO, RefCOCO+, RefCOCOg annotation files
 
 ```
 Location_you_like
-├── refcoco
-│   ├── instances.json
-│   ├── refs(google).p
-│   └── refs(unc).p
-├── refcoco+
-│   ├── instances.json
-│   └── refs(unc).p
-└── refcocog
-    ├── instances.json
-    ├── refs(google).p
-    └── refs(umd).p
+├── ${MINIGPTv2_DATASET}
+│   ├── refcoco_annotations
+│       ├── refcoco
+|            ├── instances.json
+|            ├── refs(google).p
+|            ├── refs(unc).p
+│       ├── refcoco+
+|            ├── instances.json
+|            ├── refs(unc).p
+│       ├── refcocog
+|            ├── instances.json
+|            ├── refs(google).p
+|            ├── refs(und).p
 ```
 
-Set **image_path** in all the following dataset configuration files to the COCO 2014 image folder.
+
+Set **image_path** to the COCO 2014 image folder.
 Similarly, set **ann_path** in all the following configs to the above folder (Location_you_like) that contains refcoco, refcoco+, and refcocog.
 
 - [minigpt4/configs/datasets/coco_bbox/refcoco.yaml](../minigpt4/configs/datasets/coco_bbox/refcoco.yaml)
@@ -86,16 +117,19 @@ Similarly, set **ann_path** in all the following configs to the above folder (Lo
 - [minigpt4/configs/datasets/coco_bbox/invrefcocog.yaml](../minigpt4/configs/datasets/coco_bbox/invrefcocog.yaml) 
 - [minigpt4/configs/datasets/coco_bbox/invrefcocop.yaml](../minigpt4/configs/datasets/coco_bbox/invrefcocop.yaml)
 
+
 ### LLaVA
-Makesure you have the COCO 2014 images first. 
 
-Download Llava annotation files in the following link to the place you like.
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── llava
+│       ├── conversation_58k.json
+│       ├── detail_23k.json
+│       ├── complex_reasoning_77k.json
+```
 
-- https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/resolve/main/conversation_58k.json
-- https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/resolve/main/detail_23k.json
-- https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/resolve/main/complex_reasoning_77k.json
-
-Set **image_path** in all the following dataset configuration files to the COCO 2014 image folder.
+Set **image_path** to the COCO 2014 image folder.
 Similarly, set **ann_path** to the location of the previous downloaded conversation_58k.json, 
 detail_23k.json, and complex_reasoning_77k.json in conversation.yaml, detail.yaml, and reason.yaml, respectively.
 
@@ -105,18 +139,29 @@ detail_23k.json, and complex_reasoning_77k.json in conversation.yaml, detail.yam
 - [minigpt4/configs/datasets/llava/reason.yaml](../minigpt4/configs/datasets/llava/reason.yaml)
 
 
-
-
-
 ### OKVQA
 
+
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── OKVQA
+│       ├── okvqa_train.json
+```
+
+Set **image_path** to the COCO 2014 image folder.
+Similarly, set **ann_path** to the location of the OKVQA dataset
+- [minigpt4/configs/datasets/okvqa/defaults.yaml](../minigpt4/configs/datasets/okvqa/defaults.yaml)
+
+
+### COCO-VQA
+
 - [OK-VQA Input Questions](https://okvqa.allenai.org/static/data/OpenEnded_mscoco_train2014_questions.json.zip)
 - [OK-VQA Annotations](https://okvqa.allenai.org/static/data/mscoco_train2014_annotations.json.zip)
 
-- [okvqa_train](https://storage.googleapis.com/sfr-vision-language-research/LAVIS/datasets/okvqa/okvqa_train.json)
-- Images are from COCO
 
 ### AOK-VQA
+Download the AOK-VQA annotation dataset
 
 ```
 export AOKVQA_DIR=YOUR_DATASET_PATH
@@ -124,12 +169,85 @@ mkdir -p ${AOKVQA_DIR}
 curl -fsSL https://prior-datasets.s3.us-east-2.amazonaws.com/aokvqa/aokvqa_v1p0.tar.gz | tar xvz -C ${AOKVQA_DIR}
 ```
 
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── AOKVQA
+│       ├── aokvqa_v1p0_train.json
+```
+
+
+Set **image_path** to the COCO 2014 image folder.
+Similarly, set **ann_path** to the location of the AOKVQA dataset
+- [minigpt4/configs/datasets/aokvqa/defaults.yaml](../minigpt4/configs/datasets/aokvqa/defaults.yaml)
+
+
+
 ### OCR-VQA
-- [download script](https://drive.google.com/drive/folders/1_GYPY5UkUy7HIcR0zq3ZCFgeZN7BAfm_?usp=sharing), **we save all files as `.jpg`**
+Download the OCR-VQA annotation files
+
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── OCR-VQA
+│       ├── images
+│       ├── dataset.json
+```
+
+Set **image_path** as the OCR-VQA image folder.
+Similarly, set **ann_path** to the lhe OCR-VQA dataset.json
+- [minigpt4/configs/datasets/ocrvqa/ocrvqa.yaml](../minigpt4/configs/datasets/ocrvqa/ocrvqa.yaml)
+
+
 
 ### filtered Flickr-30k
+Download filtered Flickr-30k images and annotation files
+
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── filtered_flickr
+│       ├── images
+│       ├── captiontobbox.json
+│       ├── groundedcaption.json
+│       ├── phrasetobbox.json
+```
+
+Set **image_path** as the flickr-30k images foler.
+Similarly, set **ann_path** to the groundedcaption.json, captiontobbox.json and phrasetobbox.json for the 
+grounded image caption, caption to bbox, and phrase to bbox datasets.
+
+- [minigpt4/configs/datasets/flickr/default.yaml](../minigpt4/configs/datasets/flickr/default.yaml)
+- [minigpt4/configs/datasets/flickr/caption_to_phrase.yaml](../minigpt4/configs/datasets/flickr/caption_to_phrase.yaml)
+- [minigpt4/configs/datasets/flickr/object_to_phrase.yaml](../minigpt4/configs/datasets/flickr/object_to_phrase.yaml)
 
 
 ### Multi-task conversation
+Download the multi-task converstation dataset
+
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── multitask_conversation
+│       ├── multitask_conversation.json
+```
+
+Set **image_path** as the COCO 2014 images folder.
+Similarly, set **ann_path** to the multitask_conversation.json file path
+
+- [minigpt4/configs/datasets/multitask_conversation/default.yaml](../minigpt4/configs/datasets/multitask_conversation/default.yaml)
 
 ### Unnatural instruction
+Download the filtered unnatural instruction annotation files (we remove the very long sentences from the original unnatural instruction dataset)
+
+```
+Location_you_like
+├── ${MINIGPTv2_DATASET}
+│   ├── unnatural-instructions
+│       ├── filtered_unnatural_instruction.json
+```
+
+There is no image path.
+Similarly, set **ann_path** to the filtered_unnatural_instruction.json file path
+
+- [minigpt4/configs/datasets/nlp/unnatural_instruction.yaml](../minigpt4/configs/datasets/nlp/unnatural_instruction.yaml)
\ No newline at end of file