Multimodal Q/A Generation

StatQA creates CLIP-style multimodal databases where each statistical question is paired with both textual answers AND rich visual metadata. This enables training of multimodal AI systems that understand both statistical text and visual representations.

Enhanced Q/A Format

Each Q/A pair includes comprehensive metadata:

{
  "question": "What is the distribution of Sepal Length?",
  "answer": "**Sepal Length**: mean=5.84, median=5.80, std=0.83, range=[4.30, 7.90]. N=150 [non-normal distribution].",
  "type": "distributional",
  "provenance": {
    "generated_at": "2025-11-19T19:21:28+00:00",
    "tool": "statqa",
    "tool_version": "0.2.0",
    "generation_method": "template",
    "analysis_type": "univariate",
    "variables": ["sepal_length"],
    "python_commands": ["valid_data.mean()  # Result: 5.84"]
  },
  "visual": {
    "plot_type": "histogram",
    "caption": "Histogram showing sepal length distribution with mean=5.84 and std=0.83 (N=150).",
    "alt_text": "Histogram chart with sepal length values on x-axis and frequency density on y-axis.",
    "visual_elements": {
      "chart_type": "histogram",
      "x_axis": "Sepal Length",
      "y_axis": "Density",
      "key_features": ["distribution shape", "mean line"],
      "colors": ["blue bars", "red mean line"],
      "annotations": ["Mean: 5.84"]
    },
    "primary_plot": "/path/to/univariate_sepal_length.png",
    "generation_code": "plot_factory.plot_univariate(data['sepal_length'], sepal_length_var, 'plot.png')"
  }
}

Question-Plot Association Mapping

StatQA automatically associates relevant visualizations with each statistical insight:

• Distribution questions → Histograms for numeric data, bar charts for categorical

• Correlation questions → Scatter plots with regression lines

• Group comparison questions → Box plots showing group differences

• Categorical relationships → Heatmaps with frequency counts

Accessibility & Multimodal Features

Every visualization includes:

• Descriptive captions with statistical context and interpretation

• Alt-text for screen readers and accessibility compliance

• Visual elements extraction for computer vision training (colors, features, annotations)

• Reproducible generation code for programmatic recreation