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task_categories:
- image-to-text
dataset_info:
features:
- name: id
dtype: string
- name: image_1
dtype: image
- name: image_2
dtype: image
- name: choices
struct:
- name: A
dtype: string
- name: B
dtype: string
- name: C
dtype: string
- name: D
dtype: string
- name: ground_truth
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 4188405701.612
num_examples: 1756
download_size: 5002312163
dataset_size: 4188405701.612
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# VDiff-Bench
[Paper](https://huggingface.co/papers/2609.06245) | [Project page](https://huggingface.co/spaces/elaine1wan/vdiff-bench)
VDiff-Bench is a multiple-choice benchmark for fine-grained visual difference identification. Each example presents two similar images and four candidate descriptions, exactly one of which states a real difference between the images.
## Dataset structure
The `train` split contains 1,756 questions with the following fields:
- `id`: stable example identifier.
- `image_1`, `image_2`: the paired images.
- `choices`: an object containing answer choices `A`, `B`, `C`, and `D`.
- `ground_truth`: label of the correct choice.
- `category`: visual change category.
The public release intentionally excludes source identifiers, intermediate difference annotations, generated-negative metadata, and other dataset-construction fields.
## Change categories
| Category | Questions |
|---|---:|
| Change of position | 158 |
| Change of motion | 138 |
| Change of color (regional) | 170 |
| Change of color (whole image) | 147 |
| Appear / disappear | 201 |
| Change of noise / resolution | 150 |
| Change of texture | 177 |
| Substitution and size | 199 |
| OCR | 221 |
| Illumination | 195 |
## Loading
```python
from datasets import load_dataset
dataset = load_dataset("elaine1wan/image_diff_data", split="train")
example = dataset[0]
```
`image_1` and `image_2` are decoded as PIL images by default. Benchmark performance is measured using exact-match accuracy on `ground_truth`.
## Citation
Citation information will be added with the accompanying paper release. |