QiushiSun/JanusCode-800K

Dataset

JanusCode-800K

2

27 commits

1 linked in READMEs

updated May 25, 2026

See the code

README

JanusCode-800K

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

💻 Github | 📦 Checkpoints

JanusCode-800K is a large-scale multimodal code corpus designed to establish a visual-programmatic interface for code intelligence. It contains 800,000 samples spanning heterogeneous domains including standard charts, complex interactive web UIs, SVG graphics, and code-driven animations (e.g., Manim, Wolfram).

The dataset powers the training of the JanusCoder and JanusCoderV models, enabling them to handle both text-centric and vision-centric coding tasks—from chart-to-code generation to precise, program-driven editing of visualizations.

Dataset Structure

The corpus includes the following specialized splits:

  • web_generate: Web UI generation from visual/textual specifications.
  • web_edit: Code-driven editing of web interfaces.
  • svg: Visual programming for vector graphics.
  • manim: Mathematical animations and dynamic theorem visualizations.
  • python_chart: Programmatic data-to-chart generation.
  • wolfram: Symbolic and visual computation code.
  • demo: Web artifacts and demonstration.

📋 Citation

🫶 If you are interested in our work or find the repository / checkpoints / benchmark / data helpful, please consider using the following citation format when referencing our papers:

@inproceedings{sun2026januscoder,
  title={JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence},
  author={Qiushi Sun and Jingyang Gong and Yang Liu and Qiaosheng Chen and Lei Li and Kai Chen and Qipeng Guo and Ben Kao and Fei Yuan},
  booktitle={The Fourteenth International Conference on Learning Representations},
  year={2026}
}

Contributors

QiushiSun

26 commits

nielsr

1 commits

QiushiSun/JanusCode-800K

Dataset

JanusCode-800K

2

27 commits

1 linked in READMEs

updated May 25, 2026

See the code

README

JanusCode-800K

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

💻 Github | 📦 Checkpoints

JanusCode-800K is a large-scale multimodal code corpus designed to establish a visual-programmatic interface for code intelligence. It contains 800,000 samples spanning heterogeneous domains including standard charts, complex interactive web UIs, SVG graphics, and code-driven animations (e.g., Manim, Wolfram).

The dataset powers the training of the JanusCoder and JanusCoderV models, enabling them to handle both text-centric and vision-centric coding tasks—from chart-to-code generation to precise, program-driven editing of visualizations.

Dataset Structure

The corpus includes the following specialized splits:

  • web_generate: Web UI generation from visual/textual specifications.
  • web_edit: Code-driven editing of web interfaces.
  • svg: Visual programming for vector graphics.
  • manim: Mathematical animations and dynamic theorem visualizations.
  • python_chart: Programmatic data-to-chart generation.
  • wolfram: Symbolic and visual computation code.
  • demo: Web artifacts and demonstration.

📋 Citation

🫶 If you are interested in our work or find the repository / checkpoints / benchmark / data helpful, please consider using the following citation format when referencing our papers:

@inproceedings{sun2026januscoder,
  title={JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence},
  author={Qiushi Sun and Jingyang Gong and Yang Liu and Qiaosheng Chen and Lei Li and Kai Chen and Qipeng Guo and Ben Kao and Fei Yuan},
  booktitle={The Fourteenth International Conference on Learning Representations},
  year={2026}
}

Contributors

QiushiSun

26 commits

nielsr

1 commits