index stringlengths 4 58 | image stringlengths 6.02k 1.85M | question stringclasses 60
values | answer stringlengths 7 61 | subject stringclasses 8
values | figure_type stringclasses 45
values | code_type stringclasses 5
values |
|---|---|---|---|---|---|---|
tree_17 | 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You are an expert in **Python data visualization** and proficient in multiple libraries (including Matplotlib, Seaborn, Plotly, Bokeh, Altair, etc.).
Your task is to analyze the provided image and write **complete Python code** to reproduce it visually using the **specified plotting library**.
### Analysis Phase
To ensure accuracy and detail in your recreation, begin with a comprehensive analysis of the figure to develop an elaborate description. This description should cover, but not be limited to, the following aspects:
1. **Layout and Structural Analysis** Identify the overall composition and arrangement of elements. Note the presence of subplots, grids, columns, or nested structures and how they are aligned.
2. **Element Identification** Determine the nature of the components present—such as chart types, text blocks, mathematical notations, geometric shapes, or UI components. Identify whether elements are independent or share common structural frameworks (such as axes or containers).
3. **Content and Data Interpretation** Summarize the information or data patterns being conveyed.
- For visualizations, identify trends.
- For documents or formulas, identify the semantic content and hierarchy to generate accurate dummy data or text.
4. **Visual and Stylistic Features** Identify supplementary elements that contribute to clarity and aesthetics, including color palettes, font styles, line weights, markers, legends, transparency, and specific rendering artifacts.
### Requirements
1. **Target Library** Use the library requested by the user. If no specific library is mentioned, default to **Matplotlib**.
2. **Data** Create reasonable dummy data based on visual trends observed in the image.
3. **Dimensions** You **MUST** set the figure dimensions to **width: 6, height: 8**.
Use syntax strictly appropriate for the chosen library.
4. **Visuals** Match colors, styles, limits, and annotations exactly. Adapt the implementation (e.g., interactive tooltips vs. static text) to the strengths of the chosen library.
### ***IMPORTANT***
- First, provide the **hint-enhanced description** of the image.
- Then, output the **Python code inside a single Markdown block** (```python ... ```).
- **NO conversational text.**
| tree_17.py | Economics | Treemap | python |
box_13 | 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You are an expert in **Python data visualization** and proficient in multiple libraries (including Matplotlib, Seaborn, Plotly, Bokeh, Altair, etc.).
Your task is to analyze the provided image and write **complete Python code** to reproduce it visually using the **specified plotting library**.
### Analysis Phase
To ensure accuracy and detail in your recreation, begin with a comprehensive analysis of the figure to develop an elaborate description. This description should cover, but not be limited to, the following aspects:
1. **Layout and Structural Analysis** Identify the overall composition and arrangement of elements. Note the presence of subplots, grids, columns, or nested structures and how they are aligned.
2. **Element Identification** Determine the nature of the components present—such as chart types, text blocks, mathematical notations, geometric shapes, or UI components. Identify whether elements are independent or share common structural frameworks (such as axes or containers).
3. **Content and Data Interpretation** Summarize the information or data patterns being conveyed.
- For visualizations, identify trends.
- For documents or formulas, identify the semantic content and hierarchy to generate accurate dummy data or text.
4. **Visual and Stylistic Features** Identify supplementary elements that contribute to clarity and aesthetics, including color palettes, font styles, line weights, markers, legends, transparency, and specific rendering artifacts.
### Requirements
1. **Target Library** Use the library requested by the user. If no specific library is mentioned, default to **Matplotlib**.
2. **Data** Create reasonable dummy data based on visual trends observed in the image.
3. **Dimensions** You **MUST** set the figure dimensions to **width: 6, height: 5**.
Use syntax strictly appropriate for the chosen library.
4. **Visuals** Match colors, styles, limits, and annotations exactly. Adapt the implementation (e.g., interactive tooltips vs. static text) to the strengths of the chosen library.
### ***IMPORTANT***
- First, provide the **hint-enhanced description** of the image.
- Then, output the **Python code inside a single Markdown block** (```python ... ```).
- **NO conversational text.**
| box_13.py | Computer Science | box-chart | python |
box_11 | 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|
You are an expert in **Python data visualization** and proficient in multiple libraries (including Matplotlib, Seaborn, Plotly, Bokeh, Altair, etc.).
Your task is to analyze the provided image and write **complete Python code** to reproduce it visually using the **specified plotting library**.
### Analysis Phase
To ensure accuracy and detail in your recreation, begin with a comprehensive analysis of the figure to develop an elaborate description. This description should cover, but not be limited to, the following aspects:
1. **Layout and Structural Analysis** Identify the overall composition and arrangement of elements. Note the presence of subplots, grids, columns, or nested structures and how they are aligned.
2. **Element Identification** Determine the nature of the components present—such as chart types, text blocks, mathematical notations, geometric shapes, or UI components. Identify whether elements are independent or share common structural frameworks (such as axes or containers).
3. **Content and Data Interpretation** Summarize the information or data patterns being conveyed.
- For visualizations, identify trends.
- For documents or formulas, identify the semantic content and hierarchy to generate accurate dummy data or text.
4. **Visual and Stylistic Features** Identify supplementary elements that contribute to clarity and aesthetics, including color palettes, font styles, line weights, markers, legends, transparency, and specific rendering artifacts.
### Requirements
1. **Target Library** Use the library requested by the user. If no specific library is mentioned, default to **Matplotlib**.
2. **Data** Create reasonable dummy data based on visual trends observed in the image.
3. **Dimensions** You **MUST** set the figure dimensions to **width: 6, height: 4**.
Use syntax strictly appropriate for the chosen library.
4. **Visuals** Match colors, styles, limits, and annotations exactly. Adapt the implementation (e.g., interactive tooltips vs. static text) to the strengths of the chosen library.
### ***IMPORTANT***
- First, provide the **hint-enhanced description** of the image.
- Then, output the **Python code inside a single Markdown block** (```python ... ```).
- **NO conversational text.**
| box_11.py | Computer Science | box-chart | python |
tree_8 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | tree_8.py | Economics | Treemap | python |
tree_13 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | tree_13.py | Economics | Treemap | python |
tree_14 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | tree_14.py | Economics | Treemap | python |
area_10 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | area_10.py | Geography | Area | python |
area_5 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | area_5.py | Geography | Area | python |
bar_67 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | bar_67.py | Computer Science | bar-chart | python |
tree_18 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED) | "\nYou are an expert in **Python data visualization** and proficient in multiple libraries (includin(...TRUNCATED) | tree_18.py | Economics | Treemap | python |
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:
VLMEvalKit_inferloadsImage2Code_Full.tsv- The model takes
imageandquestionas input - Predictions are saved after inference
eval_pipelinematches 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
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