| --- |
| 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. |
|
|
