README.md

metadata

language:
  - en
license: cc-by-4.0
size_categories:
  - 1K<n<10K
task_categories:
  - question-answering
  - visual-question-answering
  - multiple-choice
pretty_name: MRAG-Bench
dataset_info:
  features:
    - name: id
      dtype: string
    - name: aspect
      dtype: string
    - name: scenario
      dtype: string
    - name: image
      dtype: image
    - name: gt_images
      sequence: image
    - name: question
      dtype: string
    - name: A
      dtype: string
    - name: B
      dtype: string
    - name: C
      dtype: string
    - name: D
      dtype: string
    - name: answer_choice
      dtype: string
    - name: answer
      dtype: string
    - name: image_type
      dtype: string
    - name: source
      dtype: string
    - name: retrieved_images
      sequence: image
  splits:
    - name: test
      num_bytes: 4740745536
      num_examples: 1353
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*

ICLR 2025 Submision 9148

MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models

This is an anonymous repo for openreview https://openreview.net/forum?id=Usklli4gMc

Dataset Description

The dataset contains the following fields:

Field Name	Description
id	Unique identifier for the example
aspect	Aspect type for the example
scenario	The type of scenario associated with the entry
image	Contains image data in byte format
gt_images	A list of top 5 ground-truth images information
question	Question asked about the image
A	Choice A for the question
B	Choice B for the question
C	Choice C for the question
D	Choice D for the question
answer_choice	Correct choice identifier
answer	Correct answer to the question
image_type	Type of image object
source	Source of the image
retrieved_images	A list of top 5 retrieved images information by CLIP