chart2code
Chart2CodeFrom Charts to Code: A Hierarchical Benchmark for Multimodal Models
Welcome to Chart2Code! If you find this repo useful, please give a star ⭐ for encouragement.
Data Overview
Chart2Code is a hierarchical benchmark for evaluating multimodal models on chart understanding and chart-to-code generation. The dataset is organized into five Hugging Face configurations:
level1_direct
level1_customize
level1_figure
level2
level3
In the current Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/CSU-JPG/Chart2Code.Chart2Code-160k
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
Github | Dataset(ModelScope) | Model | Paper
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in chart understanding tasks. However, interpreting charts with textual descriptions often leads to information loss, as it fails to fully capture the dense information embedded in charts. In contrast, parsing charts into code provides lossless representations that can… See the full description on the dataset page: https://huggingface.co/datasets/xxxllz/Chart2Code-160k.Chart2Code_oldFrom Charts to Code: A Hierarchical Benchmark for Multimodal Models
Welcome to Chart2Code! If you find this repo useful, please give a star ⭐ for encouragement.
🌟 Data Overview
The Chart2Code benchmark is structured into three levels of increasing difficulty to provide a comprehensive evaluation of an LMM's ability to understand and generate data visualizations.
Chart2Code comprises 2,023 tasks across three levels—863/1,010/150 for Level1/Level2/Level3… See the full description on the dataset page: https://huggingface.co/datasets/CSU-JPG/Chart2Code_old.MMCoIR-Chart2CodeChart2Code53-training_dataset