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Implementation:Open compass VLMEvalKit CharXiv

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

Overview

Benchmark dataset implementation for CharXiv evaluation in VLMEvalKit.

Description

CharXiv inherits from ImageBaseDataset and implements the CharXiv benchmark for evaluating chart understanding on arXiv figures. The TYPE field is set to 'VQA'. It supports descriptive and reasoning validation splits.

Usage

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

Code Reference

  • Source: vlmeval/dataset/charxiv.py, Lines: L1-256
  • Import: from vlmeval.dataset.charxiv import CharXiv

Signature:

class CharXiv(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('CharXiv_descriptive_val')

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