Implementation:Open compass VLMEvalKit SlideVQA

Field	Value
source	VLMEvalKit
domain	Vision, Benchmarking, Slide Document Understanding

Overview

Benchmark dataset implementation for SlideVQA evaluation in VLMEvalKit.

Description

SlideVQA inherits from ImageBaseDataset and implements the SlideVQA benchmark for slide document understanding. The TYPE field is set to 'VQA'. It supports full and mini splits with per-model page handling configurations similar to MMLongBench.

Usage

Registered in vlmeval/dataset/__init__.py and invoked through build_dataset() by benchmark name.

Code Reference

Source: vlmeval/dataset/slidevqa.py, Lines: L1-189
Import: from vlmeval.dataset.slidevqa import SlideVQA

Signature:

class SlideVQA(ImageBaseDataset):
    TYPE = 'VQA'
    DATASET_URL = {...}
    DATASET_MD5 = {...}
    ...

I/O Contract

Direction	Description
Inputs	TSV dataset file with image/video paths and questions
Outputs	Evaluation results DataFrame with scores per category

Usage Examples

from vlmeval.dataset import build_dataset
dataset = build_dataset('SLIDEVQA')

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Principle

Implementation

Heuristic

Environment