---
license: apache-2.0
task_categories:
- mask-generation
- image-to-image
- image-to-text
tags:
- synthetic
- math
- graph
- latex
- function-graph
- image2latex
- function-plot
- mathematics
pretty_name: Elementary Functions MaskedGraph-LaTeX
configs:
  - config_name: elementary_functions_onemask
    data_files:
    - split: train
      path: ElementaryFunctions_OneMask/*.parquet
    dataset_info:
      features:
      - name: graph
        dtype: image
      - name: masked_graph
        dtype: image
      - name: latex_formula
        dtype: string
  - config_name: complex_functions_multimask
    data_files:
      - split: train
        path: ComplexFunctions_MultiMask/*.parquet
    dataset_info:
      features:
        - name: ID
          dtype: int64
        - name: Input Graph
          dtype: image
        - name: Single Masks Gallery
          sequence: image
        - name: Output_latex_formula
          dtype: string
size_categories:
- 1K<n<10K
---
# Elementary Functions MaskedGraph-LaTeX
This dataset was created to teach the model to "decompose" complex functions into elementary functions, isolating their pieces as elementary functions by associating masks with complex functions.<br/>
For elementary functions (such as cos, sin, x^n), a single mask was used. This way, the model understands that curvilinear and linear functions should only receive a single mask.<br/>
For more complex functions with multiple monomials, the graphs were highlighted with multiple masks of different colors, thus isolating the elementary functions.<br/>
In this way, the model learns to "decompose" complex functions into parts of simple functions.