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  # Dataset Card for Scientific Figures, Captions, and Context
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  All figures were taken from arXiv research papers.
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-
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- <img width="500" src="2310.05343_Screenshot_184.png">
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- <img width="500" src="2212.00837_EMNLP 2022_figures_visual.png">
 
 
 
 
 
 
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  # Contributors
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  Yousef Gomaa (@yousefg-codes) and Mohamed Awadalla (@mawadalla)
 
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  ---
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  # Dataset Card for Scientific Figures, Captions, and Context
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  All figures were taken from arXiv research papers.
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+ <figure>
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+ <img width="500" src="2310.05343_Screenshot_184.png">
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+ <figcaption>Fig. 6. Accuracy of sample from current (1st) F-MNIST class</figcaption>
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+ </figure>
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+ <figure>
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+ <img width="500" src="2212.00837_EMNLP 2022_figures_visual.png">
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+ <figcaption>Figure 3: Problem representation visualization by T- SNE. Our model with A&D improves the problem rep- resentation learning, which groups analogical problems close and separates non-analogical problems.</figurecaption>
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+ </figure>
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  # Contributors
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  Yousef Gomaa (@yousefg-codes) and Mohamed Awadalla (@mawadalla)