README.md

metadata

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

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:

dataset = load_dataset(
    "CrowdMind/Vision-SFT",
    "ui-finance-reasoning-combined",
    split="train",
)

Each source dataset is preserved as its own configuration.