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WoofWoof/VCIF-10k

published by @WoofWoof

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
252
Last 30 days
6
Likes
1
Size
1.4 GB
Created on HF
2026-03-24
Age
7 months ago

Description

Introduction

Paper: Empowering Reliable Visual-Centric Instruction Following in MLLMs

Github: KerenWLHe/VC-IFEval

😊 This is the official repo of VC-IFEngine datasets.

πŸ“Š Image sources: LLaVA-Instruct, Visual Genome, ALLaVA-4V

Format

SFT β€” messages format (role: user / assistant):

{

"messages": [

{"role": "user", "content": "<image>\n{instruction}"},

{"role": "assistant", "content": "{response}"}

],

"images": ["Data/CC3M/images/example.jpg"]

}

DPO… See the full description on the dataset page: https://huggingface.co/datasets/WoofWoof/VCIF-10k.

Tags

language:enlicense:mitarxiv:2601.03198region:us

README current version from Hugging Face


license: mit
language:

  • en

Introduction

😊 This is the official repo of VC-IFEngine datasets.

πŸ“Š Image sources: LLaVA-Instruct, Visual Genome, ALLaVA-4V

Format

SFT β€” messages format (role: user / assistant):

{
  "messages": [
    {"role": "user", "content": "<image>\n{instruction}"},
    {"role": "assistant", "content": "{response}"}
  ],
  "images": ["Data/CC3M/images/example.jpg"]
}

DPO β€” conversations + chosen / rejected format:

{
  "conversations": [
    {"from": "human", "value": "<image>\n{instruction}"}
  ],
  "chosen": {"from": "gpt", "value": "{full-constraint response}"},
  "rejected": {"from": "gpt", "value": "{constraint-degraded response}"},
  "images": ["Data/CC3M/images/example.jpg"]
}

Citation

@misc{he2026empoweringreliablevisualcentricinstruction,
      title={Empowering Reliable Visual-Centric Instruction Following in MLLMs}, 
      author={Weilei He and Feng Ju and Zhiyuan Fan and Rui Min and Minhao Cheng and Yi R. Fung},
      year={2026},
      eprint={2601.03198},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2601.03198}, 
}

README history 1 revision

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-03-24Duplicate from KerenStone/VCIF-10kb5c92461.5 KB
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Metadata

License
mit

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("WoofWoof/VCIF-10k")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="WoofWoof/VCIF-10k", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/WoofWoof/VCIF-10k
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