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Implementation:Open compass VLMEvalKit ChartQAPro

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

Overview

Benchmark dataset implementation for ChartQAPro evaluation in VLMEvalKit.

Description

ChartQAPro inherits from ImageBaseDataset and implements the ChartQA Pro benchmark for evaluating chart question answering with support for Direct, Chain-of-Thought (CoT), and Program-of-Thought (PoT) modes. The TYPE field is set to 'VQA'.

Usage

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

Code Reference

  • Source: vlmeval/dataset/chartqapro.py, Lines: L1-126
  • Import: from vlmeval.dataset.chartqapro import ChartQAPro

Signature:

class ChartQAPro(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('ChartQAPro')

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Principle
Implementation
Heuristic
Environment