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Implementation:Open compass VLMEvalKit ChartMuseum

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Revision as of 13:28, 16 February 2026 by Admin (talk | contribs) (Auto-imported from implementations/Open_compass_VLMEvalKit_ChartMuseum.md)
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Field Value
source VLMEvalKit
domain Vision, Benchmarking, Chart Understanding

Overview

Benchmark dataset implementation for ChartMuseum evaluation in VLMEvalKit.

Description

ChartMuseum inherits from ImageBaseDataset and implements the ChartMuseum benchmark for evaluating chart understanding capabilities. The TYPE field is set to 'VQA'. It supports dev and test splits with custom prompt building and evaluation logic for chart analysis tasks.

Usage

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

Code Reference

  • Source: vlmeval/dataset/chartmuseum.py, Lines: L1-202
  • Import: from vlmeval.dataset.chartmuseum import ChartMuseum

Signature:

class ChartMuseum(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('ChartMuseum_dev')

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Principle
Implementation
Heuristic
Environment