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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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tags: |
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- education |
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- figure |
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- caption |
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- books |
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pretty_name: ML-Figs |
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size_categories: |
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- 1K<n<10K |
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--- |
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[](https://github.com/salamnocap/ml-figs-ldm) |
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# ML-FIGS 📚📊 |
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This dataset comprises a collection of **4,256 figures** and corresponding metadata extracted from **43 different machine learning books**. Each directory represents one book and contains a subdirectory with **images** and a **JSON file** holding metadata for each figure. The dataset is organized hierarchically as follows: |
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```python |
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ml-figs/ |
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├── Book_1/ |
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│ ├── image/ |
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│ │ ├── Figure1.png |
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│ │ ├── Figure2.png |
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│ │ └── ... |
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│ └── Book_1.json |
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├── Book_2/ |
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│ ├── image/ |
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│ │ ├── Figure1.png |
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│ │ ├── Figure2.png |
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│ │ └── ... |
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│ └── Book_2.json |
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├── ... |
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│ |
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├── mlfigs_train.json |
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│ |
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└── mlfigs_test.json |
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``` |
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Each **JSON file** in the dataset represents the metadata for all the figures within a particular book. A typical entry for a figure in the JSON file includes the following attributes: |
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- **caption**: Describes the content of the figure. For example, "Figure 25: Gradient Descent (4/4)". |
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- **captionBoundary**: The bounding box of the caption text within the page, represented as a dictionary: |
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- **x1, x2**: Horizontal boundaries of the caption. |
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- **y1, y2**: Vertical boundaries of the caption. |
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- **figType**: The type of figure (usually "Figure", "Table", or other structural elements). |
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- **imageText**: A list of any text recognized within the figure image. |
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- **name**: The unique identifier for each figure within the book (e.g., "25"). |
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- **page**: The page number on which the figure appears. |
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- **regionBoundary**: The bounding box of the entire figure within the page, defined as: |
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- **x1, x2**: Horizontal boundaries of the figure. |
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- **y1, y2**: Vertical boundaries of the figure. |
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- **renderDpi**: The DPI (dots per inch) resolution used when rendering the image. |
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- **renderURL**: The path to the corresponding figure image file within the image/ directory. |
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- **ocr**: OCR (Optical Character Recognition) data, capturing any text detected within the figure. |
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- **text** : A list of strings, representing the recognized text within the figure. These are typically individual words or symbols extracted by the OCR system. |
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- **left** : Horizontal coordinates (in pixels) representing the left edge of each recognized text element. |
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- **top** : Vertical coordinates (in pixels) representing the top edge of each recognized text element. |
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- **width** : Width of each recognized text element, providing the horizontal span of the text box. |
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- **height** : Height of each recognized text element. |
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- **conf** : Each recognized text element is assigned a confidence score ranging from 0 to 100, indicating the OCR system's confidence in its recognition. |
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# 📕 Citation |
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```bibtex |
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@misc{salamat_kuantaiuly_2025, |
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author = { Salamat Kuantaiuly }, |
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title = { ml-figs (Revision 8695d1b) }, |
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year = 2025, |
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url = { https://huggingface.co/datasets/salamnocap/ml-figs }, |
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doi = { 10.57967/hf/5251 }, |
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publisher = { Hugging Face } |
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} |
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``` |
