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OPPOer/IC-VCO-Dataset

IC-VCO-Dataset     This dataset package contains the two IC-VCO training subsets: sft: supervised fine-tuning examples. preference: visual contrastive preference examples. The two subsets intentionally use different schemas, so they are represented as separate Hugging Face dataset configurations instead of separate splits under a single configuration. Each configuration has a train split. Loading From Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/OPPOer/IC-VCO-Dataset.

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face
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IC-VCO-Dataset

<p align="left"> <a href="https://arxiv.org/abs/2605.31312"> <img src="https://img.shields.io/badge/arXiv-2605.31312-b31b1b.svg" alt="arXiv"> </a>

<a href="https://github.com/OPPO-Mente-Lab/IC-VCO"> <img src="https://img.shields.io/badge/GitHub-IC--VCO-181717.svg?logo=github" alt="GitHub"> </a>

<a href="https://huggingface.co/datasets/OPPOer/IC-VCO-Dataset"> <img src="https://img.shields.io/badge/🤗%20HuggingFace-IC--VCO--Dataset-ffd21f.svg" alt="Hugging Face Dataset"> </a> </p>

This dataset package contains the two IC-VCO training subsets:

  • —sft: supervised fine-tuning examples.
  • —preference: visual contrastive preference examples.

The two subsets intentionally use different schemas, so they are represented as separate Hugging Face dataset configurations instead of separate splits under a single configuration. Each configuration has a train split.

Loading From Hugging Face

python
from datasets import load_dataset

sft = load_dataset("OPPOer/IC-VCO-Dataset", "sft")
preference = load_dataset("OPPOer/IC-VCO-Dataset", "preference")

The planned public dataset repository id is OPPOer/IC-VCO-Dataset.

Local Layout

text
IC-VCO-Dataset/
  images/
    00000/
    00001/
    ...
  sft/train/metadata.parquet
  preference/train/metadata.parquet

Both configurations share the top-level images/ directory. Paths in metadata.parquet use ../../images/<bucket>/... relative references so that datasets.load_dataset(..., "sft") and datasets.load_dataset(..., "preference") both materialize an images column.

Acknowledgement

IC-VCO-Dataset is derived from `iLearn-Lab/NeurIPS25-SymMPO`, which is released under the Apache License 2.0.

Citation

If you find this dataset helpful, please consider citing our paper:

@inproceedings{
deng2026learning,
title={Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization},
author={Haolin Deng and Xin Zou and Zhiwei Jin and Chen Chen and Haonan Lu and Xuming Hu},
booktitle={Forty-third International Conference on Machine Learning},
year={2026},
url={https://openreview.net/forum?id=dtHEthIjmu}
}
OPPOer/IC-VCO-Dataset · CoolFace