| --- |
| 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. |
