Omni-I2C: Image2Code_Full

Dataset Description

Image2Code_Full.tsv is the inference split of the Omni-I2C benchmark. It is designed to evaluate whether multimodal models can generate high-fidelity code or structured outputs from input images.

Each sample contains an image, an instruction, and metadata describing the target task. The goal is to generate code or a structured string that can reproduce the original figure as accurately as possible.

• Number of samples: 1,080
• Number of subjects: 8
• Number of figure types: 45
• Number of code types: 5

Project repository: Omni-I2C on GitHub

Data Fields

The dataset is stored as a 7-column TSV file with the following header:

index	image	question	answer	subject	figure_type	code_type

Field	Description
index	Unique sample identifier.
image	Input image stored as a base64-encoded string.
question	Instruction text for the generation task.
answer	Filename of the ground-truth reference file. This is not the full code content.
subject	Subject or application domain.
figure_type	Fine-grained figure category.
code_type	Target output format or code type.

Task Description

This is an image-to-code inference dataset. Given an input image and an instruction, the model is expected to generate an executable, renderable, or otherwise structured output that reconstructs the original figure.

The answer field links each sample to its corresponding ground-truth file used in evaluation.

Supported Code Types

python
html-css
latex-tikz
svg
smiles

Sample Counts by Code Type

code_type	Count	Extension
python	357	.py
latex-tikz	265	.tex
svg	192	.svg
html-css	166	.html
smiles	100	.smi

Subjects

Biology&Medicine
Chemistry
Computer Science
Economics
Geography
Math
Other
Physics

Figure Types

This split includes 45 figure types, including but not limited to:

3d-plot, Area, Contour, Density, Graph, Histogram, Phase-Diagram,
Quiver, Treemap, UML-class-diagram, Violin, analytical-geometry,
anatomy-diagram, atom-model, bar-chart, block-diagram, box-chart,
cell-structure, circuit, equations-texts, error-bar, error-point,
flow-chart, free-body-diagram, function-related, gauge-chart, graph,
heatmap, line-graph, magnetic-field-line, map, molecular-formula,
multi-graph, optics-ray-diagram, other-figures, physiological-process,
pie-chart, plane-geometry, radar-chart, relationship-diagram,
scatter-plot, schematic, solid-geometry, tables, venn-diagram

Usage

Within the Omni-I2C project, this file is used as the inference input to the evaluation pipeline:

1. VLMEvalKit_infer loads Image2Code_Full.tsv
2. The model takes image and question as input
3. Predictions are saved after inference
4. eval_pipeline matches predictions with GT files for code-level and image-level evaluation

For implementation details, please refer to the project repository: https://github.com/MiliLab/Omni-I2C

Citation

If you find Omni-I2C helpful, please consider citing the following paper:

@inproceedings{Zhou2026OmniI2CAH,
  title={Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation},
  author={Jiawei Zhou and Chi Zhang and Xiang Feng and Qiming Zhang and Haibo Qiu and Lihuo He and Dengpan Ye and Xinbo Gao and Jing Zhang},
  year={2026},
  url={https://api.semanticscholar.org/CorpusID:286643606}
}