ContinuaL Instruction Tuning Dataset Card
3
13 commits
2 linked in READMEs
updated Mar 25, 2026
This dataset is constructed using publicly available and commonly used instruction tuning datasets, including VQAv2, VizWiz, ScienceQA, TextVQA, GQA, and OCR-VQA.
Additionally, to enhance diversity, we introduce the classification task and referring expression comprehension task into CoIN with ImageNet, RefCOCO, RefCOCO+, and RefCOCOg.
Before proceeding with instruction tuning, please download these datasets on your own.
| Image Source | Download Path |
|---|---|
| COCO | train2014,test2015, val2014 |
| RefCOCO | annotation |
| RefCOCO+ | annotation |
| RefCOCOg | annotation |
| ImageNet | images |
| OCR-VQA | images |
| GQA | images |
| TextVQA | train,test |
| ScienceQA | images |
| VizWiz | train, val, test |
To comprehensively evaluate performance, we construct instructions using two types of templates.
License: Creative Commons Attribution 4.0 International;
13 commits
ContinuaL Instruction Tuning Dataset Card
3
13 commits
2 linked in READMEs
updated Mar 25, 2026
This dataset is constructed using publicly available and commonly used instruction tuning datasets, including VQAv2, VizWiz, ScienceQA, TextVQA, GQA, and OCR-VQA.
Additionally, to enhance diversity, we introduce the classification task and referring expression comprehension task into CoIN with ImageNet, RefCOCO, RefCOCO+, and RefCOCOg.
Before proceeding with instruction tuning, please download these datasets on your own.
| Image Source | Download Path |
|---|---|
| COCO | train2014,test2015, val2014 |
| RefCOCO | annotation |
| RefCOCO+ | annotation |
| RefCOCOg | annotation |
| ImageNet | images |
| OCR-VQA | images |
| GQA | images |
| TextVQA | train,test |
| ScienceQA | images |
| VizWiz | train, val, test |
To comprehensively evaluate performance, we construct instructions using two types of templates.
License: Creative Commons Attribution 4.0 International;
13 commits