File size: 1,662 Bytes
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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. |