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@@ -5,17 +5,25 @@ task_categories:
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  - document-question-answering
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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)
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@@ -37,7 +45,6 @@ This dataset includes ~690,000 figures from ~150,000 scientific papers taken fro
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  The data is in english.
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-
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  ### Data Instances
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  An example of an object in the `merged.json` file:
@@ -57,6 +64,7 @@ An example of an object in the `merged.json` file:
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  ```
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  ## Dataset Creation
 
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  ### Curation Rationale
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  - document-question-answering
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  ---
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  # Dataset Card for Scientific Figures, Captions, and Context
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+ A novel vision-language dataset of scientific figures taken directly from research papers.
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+ We scraped approximately ~150k papers, with about ~690k figures total. We extracted each figure's caption and label from the paper. In addition, we searched through each paper to find references of each figure and included the surrounding text as 'context' for this figure.
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+
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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="example1.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="example2.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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+ ### Usage
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+ The `merged.json` file is a mapping between the figure's filename as stored in the repository and its caption, label, and context.
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+ To use, you must extract the parts located under dataset/figures/ and keep the raw images in the same directory so that they match the image_filename fields.
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+ The images are named in the format <paper id>-<figure name> where paper id is the id given by arXiv and figure name is the name of the figure as given in the raw format of each paper.
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+
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  # Contributors
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  Yousef Gomaa (@yousefg-codes) and Mohamed Awadalla (@mawadalla)
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  The data is in english.
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  ### Data Instances
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  An example of an object in the `merged.json` file:
 
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  ```
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  ## Dataset Creation
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+ We utilized the bulk access of arXiv's papers.
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  ### Curation Rationale
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