Datasets:
File size: 1,029 Bytes
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pretty_name: Vision-SFT
tags:
- sft
- vision
- multimodal
- instruction-tuning
configs:
- config_name: ui-finance-reasoning-combined
data_files:
- split: train
path: ui-finance-reasoning-combined/train-*
- config_name: vqa
data_files:
- split: train
path: vqa/train-*
---
# Vision-SFT
This repository contains multiple vision supervised fine-tuning datasets as
separate Hugging Face dataset configurations.
## Subsets
- `ui-finance-reasoning-combined`
- `vqa`
## Usage
```python
from datasets import load_dataset
finance = load_dataset(
"CrowdMind/Vision-SFT",
"ui-finance-reasoning-combined",
)
vqa = load_dataset(
"CrowdMind/Vision-SFT",
"vqa",
)
```
Load a particular split:
```python
dataset = load_dataset(
"CrowdMind/Vision-SFT",
"ui-finance-reasoning-combined",
split="train",
)
```
Each source dataset is preserved as its own configuration.
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