This version of Multimodal Instruction Data includes diverse and high-quality dowanstream data.

It contains about 2M samples from VQA, Detector, Detailed Description of Image, and others.
```
{'aokvqa_qa': 17056, 'vsr_tof': 7680, 'flickr30k_caption': 158914, 'esnlive_evil': 401717, 'nocaps_caption': 45000, 'okvqa_qg': 9009, 'okvqa_qa': 9009, 'openvqa_qa': 34602, 'minigpt4_description': 3439, 'chart2image_chart': 8305, 'minigpt4_detailed-qa': 17195, 'vqav2_qa': 443757, 'llava_detailed-qa': 356753, 'vqav2_qg': 443757, 'semart_art': 20313, 'coco_caption': 591753, 'refcoco_detector': 8540, 'visdial_QA': 1000, 'gqa_qa': 943000, 'scienceqa_scienceqa': 6218, 'iconqa_qa': 29859, 'textcaps_caption': 109765}
```

The above statistic can be used for WeightRandom sampling of Data while training your Visiual-Language Models.

More details about Our LMEye project, please see https://github.com/YunxinLi/LingCloud

We will present a LMEye Variant with new architecture trained on enormous Instruction Data in the next week.
license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 

This version of Multimodal Instruction Data includes diverse and high-quality dowanstream data.

It contains about 2M samples from VQA, Detector, Detailed Description of Image, and others.


The above statistic can be used for WeightRandom sampling of Data while training your Visiual-Language Models.

More details about Our LMEye project, please see URL

We will present a LMEye Variant with new architecture trained on enormous Instruction Data in the next week.
TAGS
#license-apache-2.0 #region-us 

passage: TAGS
#license-apache-2.0 #region-us 
