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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: latex |
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dtype: string |
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- name: latex_norm |
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dtype: string |
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- name: page_id |
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dtype: string |
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- name: expr_type |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 222324499.18 |
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num_examples: 103940 |
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- name: val |
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num_bytes: 41861369.289 |
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num_examples: 18371 |
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- name: test |
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num_bytes: 94309716.225 |
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num_examples: 44383 |
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download_size: 340062142 |
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dataset_size: 358495584.694 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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- split: test |
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path: data/test-* |
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task_categories: |
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- image-to-text |
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tags: |
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- latex |
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- math |
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- ocr |
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size_categories: |
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- 100K<n<1M |
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--- |
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# IBEM Cropped: Bounding Box Mathematical Expressions from Scientific Pages |
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A processed version of the **IBEM Dataset** (Anitei et al., 2023), designed for the training and evaluation of image-to-markup models, expression recognition, and related document understanding tasks. Each sample in this dataset consists of a cropped image region containing a **single mathematical expression** (either displayed or embedded), along with its corresponding LaTeX annotations. |
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## Dataset Summary |
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This dataset is derived from the original **IBEM dataset** by extracting individual mathematical expressions using the provided bounding boxes, and cropping them from their original document pages. All page-level coordinates were specified as percentages and converted to absolute pixel coordinates during cropping. |
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Each record includes: |
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- A cropped image of the mathematical expression. |
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- The original LaTeX string (`latex`). |
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- A normalized LaTeX string (`latex_norm`) with visual formatting removed. |
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- The ID of the original page. |
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- The expression type (`isolated` or `embedded`). |
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## Dataset Structure |
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**Features:** |
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```python |
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features = Features({ |
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"image": Image(), |
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"latex": Value("string"), |
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"latex_norm": Value("string"), |
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"page_id": Value("string"), |
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"expr_type": Value("string"), |
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}) |
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```` |
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**Splits:** |
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The dataset is split into standard `train`, `val`, and `test` subsets based on the official partition lists provided by the authors (`Tr*.lst`, `Va*.lst`, `Ts*.lst`). |
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## Source |
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**Citation:** |
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> Anitei, D., Sánchez, J. A., & Benedí, J. M. (2023). The IBEM Dataset: a large printed scientific image dataset for indexing and searching mathematical expressions (1.0) \[Data set]. Zenodo. [https://doi.org/10.5281/zenodo.7963703](https://doi.org/10.5281/zenodo.7963703) |
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## Original Dataset Description |
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The IBEM dataset consists of 600 LaTeX documents with a total of 8,272 pages, containing: |
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* **29,603 displayed mathematical expressions** |
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* **137,089 embedded mathematical expressions** |
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These were extracted from the LaTeX source files of documents in the **KDD Cup Collection**. The dataset supports a variety of tasks, including: |
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* Mathematical expression detection and extraction |
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* LaTeX recognition from printed page images |
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* Indexing and search of STEM content in large-scale document archives |
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## Preprocessing Notes |
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* **Preamble fields** containing LaTeX macros were excluded. |
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* All expressions were **cropped** to their respective bounding boxes and stored as image snippets. |
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* Only the `latex` and `latex_norm` fields were retained for expression text. |
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* Expressions split across multiple lines were treated as-is, using the duplicated complete LaTeX string provided by the original dataset. |
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## Licensing |
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Distributed under the same license as the original IBEM dataset. |
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Creative Commons Attribution 4.0 International |
