Datasets:

deepcopy
/

IBEM-v1-cropped

dataset_info:
  features:
    - name: image
      dtype: image
    - name: latex
      dtype: string
    - name: latex_norm
      dtype: string
    - name: page_id
      dtype: string
    - name: expr_type
      dtype: string
  splits:
    - name: train
      num_bytes: 222324499.18
      num_examples: 103940
    - name: val
      num_bytes: 41861369.289
      num_examples: 18371
    - name: test
      num_bytes: 94309716.225
      num_examples: 44383
  download_size: 340062142
  dataset_size: 358495584.694
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: val
        path: data/val-*
      - split: test
        path: data/test-*
task_categories:
  - image-to-text
tags:
  - latex
  - math
  - ocr
size_categories:
  - 100K<n<1M

IBEM Cropped: Bounding Box Mathematical Expressions from Scientific Pages

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.

Dataset Summary

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.

Each record includes:

A cropped image of the mathematical expression.
The original LaTeX string (latex).
A normalized LaTeX string (latex_norm) with visual formatting removed.
The ID of the original page.
The expression type (isolated or embedded).

Dataset Structure

Features:

features = Features({
    "image": Image(),
    "latex": Value("string"),
    "latex_norm": Value("string"),
    "page_id": Value("string"),
    "expr_type": Value("string"),
})

Splits:

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).

Source

Citation:

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

Original Dataset Description

The IBEM dataset consists of 600 LaTeX documents with a total of 8,272 pages, containing:

29,603 displayed mathematical expressions
137,089 embedded mathematical expressions

These were extracted from the LaTeX source files of documents in the KDD Cup Collection. The dataset supports a variety of tasks, including:

Mathematical expression detection and extraction
LaTeX recognition from printed page images
Indexing and search of STEM content in large-scale document archives

Preprocessing Notes

Preamble fields containing LaTeX macros were excluded.
All expressions were cropped to their respective bounding boxes and stored as image snippets.
Only the latex and latex_norm fields were retained for expression text.
Expressions split across multiple lines were treated as-is, using the duplicated complete LaTeX string provided by the original dataset.

Licensing

Distributed under the same license as the original IBEM dataset. Creative Commons Attribution 4.0 International