DaTikZ

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★ 27 Open GitHub ↗

A dataset of scientific vector graphics in TikZ for training generative models.

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# DaTi*k*Z Dataset
[![DaTikZv1](https://img.shields.io/badge/DaTikZ%E1%B5%A5%E2%82%81-blue?label=Hugging%20Face&labelColor=gray&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAAIGNIUk0AAHomAACAhAAA+gAAAIDoAAB1MAAA6mAAADqYAAAXcJy6UTwAAAAGYktHRAD/AP8A/6C9p5MAAAAJcEhZcwAALEsAACxLAaU9lqkAAAAHdElNRQfoBRILLggNuk3UAAAKNklEQVRYw42WeXCU9RnHP7/32CO7m2M3gYVwQwMptAqWVDwwrSLToaVVi7UFWg+mM5UZtdoZay1Oq70tM+rYc3RqhxioFlBRZERGSZSjtiEakgqSAwo5dpNNdrPnu+/7/vrHbxNQccbfzM6+8zue4/s8z/d5BJ+wHn/8cRKJBLNmzeKOO+7gxIkT1NXVTZ4fPHzMF41O87iOI3u6TxbWrP6SNXHW2NjI+Pg4d999N/F4nDVr1lBfX8+nXk8//TRSSlavXo2UEiklmBUiMW7PKzhyve24jzlW+iUnP/qmkx97wynmdxZd+ZucLb8xNJyaNvFGSsn9998PwIEDBy6qS3x0Y/v27SxdupSFCxdO7o1l7IVBn36Hnum+UcSOzCH+L53xHiimQOjgq4GqxTDlSktGlr1ve8LNiZHRbVNrqvoBhBBIKdm/fz/XX3/9J3u+c+dOOjo6Jq1v/sdOM1+UG9xU7/uy7edS/nORlE0eKZ83pNzjl/LVoJR7A1K+4JVyuy5lU1DKvddK2fOcdKzM4UzeWQUIKeWkjj179lwcgVOnThGJRKisrATgzbeO+q68fPl95tCBB2h7KEDqHagJQFUAvAYIcf61BBwXshbEUzCuwdwNyEt+OmR5Z96/YvmSbW3tx91FixYhpeTIkSOEw2EA9AkDYrEYe/bsYd26dTzyq98b3/nWN39ont31Mw7f6Ufrhrk1EC4DU79Y5EAT4DOgMgA+4MwhxHBXUI+uWHnrDx48bejieDKZpKGhgcHBQXbt2nUegebmZpLJJOvXrycUCpErcqM/9vrfeOv2coIJmBEGXShPP80SQLYIPTGo/hryyr/0pZzymyuCvncAWltbiUaj1NXVKQMGBgaYM2cO+XyegZHszKg59IJo2bAMu015rolPqfkjRmQsODUM9T/BuWTLC8faj3/3C5ddOr5p0yZCoRCPPfYYemdnJ/v27WP37t0IIfCa2p3GiSc30r8d5laDRz8vUCv9XwyJibMLzz26CvKZdrToyjmVsy97z9RF19q1a4nFYpimidbZ2UlLSwuaptE3mJlmpE/eQk+zSjifoYQJiCV0/v5KOfsOBSjaH0ek4wMvf9ldyXsnvec3JRAOgpGAU9t8Xs3e8Mqrr5UBdHZ2cu+996IFg0F27NgBQE048EVt6GA9Vi9UBZUAKUHCs6+Vs3V7mIefiXDspFd5XEJmLK3x22fDPP5cJb9rDjM6rivtEtA1qA5C/z60TN+KL664ug7g5ZdfJhqNovX29iKlRAiBR2avYPAtDwFNwVd0YHAUkhnSOY2qkEPdTAvb+TACtiOoqXSYX1skmxfYtoSRFMTHwHUh5IdiPyLRXhMI+C8D6Orq4u2338Z49913AWh68ZBfs0Y+S+p9CPpUnTsOZAugC265LsXVl+RYviiPx5Tgnoc5Uu7wy+/HOT1kEh/TqS63od9Syl0XTANMBxIdwpi1bokQQkgp5RNPPIE2NDQEQP2iujJhjUYpDIPXVJK9JkyPQLicz8ws0nhZlkDAxTQ+nIVCQJlfUj+vwMqlOYSuwZRKiIZB11VienXInEHIYu0PNt9lCiHo6+tDy2azAJT5fR7h5Py4BRW3Ccl+DxiqElLjGr1nTVx5QdZr6jea0uk760E6Jau8ZsmR0j1dg+I4QtrBJUs+pwPE43EMTVPKXNeVEk0KIUC6H683Af897eGRZyJc/fkcqxoyzKixyRY02k542X0wxKxokUc2DSM+ViSlDaEhEe6E047jYPh8PgBi8eH8ovmBFHoZWKOQLyqrDW3yfU2lQ74gaN5fzkuHAlSFXPKWYDSlYxUFy+vzaMYFdkvAclQlFR2oCCOFkdje3GTfcMMNhMNhjJ6eHoQQ/GjL1vxVP/5eXCubAed6wRWK96dXgO1CwWZWZYAVn8uzrzVIY05jNKsRAXqB/kqHxmVZSBdgJAchb6mKUqVmZcP8hbgY8bb/vOOMjY4gpcRoaWmhqqpKPPzA5m/q2f+uwHUg50JtBRRs6BlRVKwJjJzFbV/xUhczWHfCS8YVBITkXNDl5NeSLKnNwKmEUjicVihMCULBgREHcoN48mdvSmfzBwN+70tQ6tVDY9bsKbJ7n2jdsIhku/K4thJqgnAyBn5TfXcPw9wwuCFo80O/CX4XFudhYQGGkjCShXkR6B1R72aFoW8ERnMqnDNuxL3ir++ciRe+OmfG1JgB4PV6Zot490zGu2BeNeRtiKeVgOkVkMiq76AXhtKwwAerbMUFE/yfs2E4A5GAyh1Th2g5xMclliNYUA1FG+KHEfnYvEBg5nQgpikYnABC6DiaUlzug9lVCkah4CeehqkhNXTE0hKnlGQuUJTQn1L3qsqgPykJeiFTkGSLgrkRMDRJPC3BAKQBbtlED8Nv0sDAGz48BfCZcHZMoRAth1xRxdFrKASi5TCQEiTzcnIuiaUhmVNh8+gQ8goqfFB0BdFyGM1KBscFFWWCYj8i/q+KUDCwDJQ5SISB7gNXKu/DZTCSUTQ6Jag8C3iUx1OCqs/HxqHcC0VXITU1BBWqpKkOqLteAwZSEkMXzKyETKHUoHxIiXneAElmkjPSBWVI0KviPjGMTNS2pkGlH/qTAqdU366ECv957pq8KyASEGpWLIWzREyulFkQE01V2Hgj6mGZqRQ4bmn+u8gq2OcNm5Bp2XxsVtSEynyJSk5TgDDBUwFSFidzIDGaeEPOveUMs26FvjQMJJQs21UsdqGi8byafHMWfDAIfXFl0GBSseeFdx2pHJEOnI7DkAZLHsCdcsX7g/3/OwQgNm7cKLZt26YPJ1JrqwL8Qhs4UE93E8TeBmcYvEIlliYU3BkXpq6GaCNYKdAMMAPQswPG2yBoqjJ0XEVARQ08tTB9FSzYiBNpODacSD0QnVrz+j333OOKzs5Obr/9dnH06FGt/b3OBQs+U/dtn2Z9Q09/sJDh//hIvAeZ/4GTB281TFuJnLm2P69X75DSzSJxhaZV+XLd3xZndlcz/G8opsEMQmgeRJYiI8tybtns4zlL7jre8e5zKy5vOL127Vq3qalJ8uijj9La2sr69esnKMXY//obM4aGk1/P5J1fW0X7RdvKHbELmbaiVTiYKzhP9J05dxXgQY2c+ozaWt+5weHr8pbz56KVb7ULmWO2lT9cKDq70jn7kf6hkTUvvrRnWinptU2bNokjR46wdetWjK6uLkzTpKmpSS5fvpz9+/c7q677Uj9wDnjl1ttu8zY2ftkfDIb0s2fPWPfcfVcasC+99FJRX18vpZS0t7dbtdHqA0JoLX/445+CU6ZO9STHRu19r76ae/755/IluhI333yzvOaaa+TmzZtpaGggFoshEokETz31FLNnz6a1tZUnn3ySo0ePsnfvXtHR0cGxY8dEb2/vZGJfe+21cuXKlfKhhx6ivr4ey7Lo7u5my5YtoqWlhZaWlslSmD9/PsuWLZOLFy+WDz74IKZpct9993HTTTdx7tw5PB4P/wdyObJGug0H9QAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyNC0wNS0xOFQxMTozMzozNCswMDowMNKO6kUAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjQtMDUtMThUMTE6MzI6MTArMDA6MDD6exqpAAAAKHRFWHRkYXRlOnRpbWVzdGFtcAAyMDI0LTA1LTE4VDExOjQ2OjA4KzAwOjAwcvvAdgAAAABJRU5ErkJggg==)](https://huggingface.co/datasets/nllg/datikz)
[![DaTikZv2](https://img.shields.io/badge/DaTikZ%E1%B5%A5%E2%82%82-blue?label=Hugging%20Face&labelColor=gray&logo=data:image/png;base64,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)](https://huggingface.co/datasets/nllg/datikz-v2)
[![DaTikZv3](https://img.shields.io/badge/DaTikZ%E1%B5%A5%E2%82%83-blue?label=Hugging%20Face&labelColor=gray&logo=data:image/png;base64,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)](https://huggingface.co/datasets/nllg/datikz-v3)

DaTi*k*Z is a dataset containing a wide variety of Ti*k*Z drawings. It is
intended to support research and development of machine learning models that
can generate or manipulate vector graphics in LATEX.

There are three main distributions publicly available:
[DaTi*k*Zv1](https://huggingface.co/datasets/nllg/datikz)
(introduced in [AutomaTi*k*Z](https://github.com/potamides/AutomaTikZ)),
[DaTi*k*Zv2](https://huggingface.co/datasets/nllg/datikz-v2)
(introduced in [DeTi*k*Zify](https://github.com/potamides/DeTikZify)), and
[DaTi*k*Zv3](https://huggingface.co/datasets/nllg/datikz-v3)
(introduced in [Ti*k*Zero](https://github.com/potamides/DeTikZify#news)). In
compliance with licensing agreements, certain Ti*k*Z drawings are excluded from
these public versions of the dataset. This repository provides tools and
methods to help with recreating the complete dataset from scratch.

> [!NOTE]
> The datasets you produce might vary slightly from the originally created
> ones, as the sources used for crawling are subject to continuous updates.

## Installation
DaTi*k*Z relies on a full [TeX Live](https://www.tug.org/texlive) installation
and also requires [ghostscript](https://www.ghostscript.com) and
[poppler](https://poppler.freedesktop.org). Python dependencies can be
installed as follows:
```sh
pip install -r requirements.txt
```
For processing [arXiv](https://arxiv.org) source files (optional), you
additionally need to preprocess arXiv bulk data using
[arxiv-latex-extract](https://github.com/potamides/arxiv-latex-extract).

## Usage
To generate the dataset, run the `main.py` script. Use the `--help` flag to
view the available options. DaTi*k*Zv2, for example was created as
follows:
```sh
main.py --arxiv_files "${DATIKZ_ARXIV_FILES[@]}" --size 384
```
In this example, the `DATIKZ_ARXIV_FILES` environment variable should contain
paths of either the directories with `jsonl` files obtained with
arxiv-latex-extract or archives that contain these files.

When executed successfully, the script generates the following output files:
* `datikz-train.parquet`: The training split of the DaTi*k*Z dataset.
* `datikz-test.parquet`: The test split consisting of 1k items.

> [!IMPORTANT]
> The `--captionize` flag, formerly used to automatically augment captions to
> better align with their figures, is no longer supported. To augment extracted
> captions, we recommend implementing your own solution using the latest
> [MultiModal Large Language
> Models](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models).

## Citation
If DaTi*k*Z has been beneficial for your research or applications, we kindly
request you to acknowledge this by citing the following papers:

```bibtex
@inproceedings{belouadi2025tikzero,
    title={{TikZero}: Zero-Shot Text-Guided Graphics Program Synthesis},
    author={Belouadi, Jonas and Ilg, Eddy and Keuper, Margret and Tanaka, Hideki and Utiyama, Masao and Dabre, Raj and Eger, Steffen and Ponzetto, Simone},
    booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month={October},
    year={2025},
    pages={17793-17806},
    url={https://openaccess.thecvf.com/content/ICCV2025/html/Belouadi_TikZero_Zero-Shot_Text-Guided_Graphics_Program_Synthesis_ICCV_2025_paper.html}
}
```

```bibtex
@inproceedings{belouadi2024detikzify,
    title={{DeTikZify}: Synthesizing Graphics Programs for Scientific Figures and Sketches with {TikZ}},
    author={Jonas Belouadi and Simone Paolo Ponzetto and Steffen Eger},
    booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
    year={2024},
    url={https://openreview.net/forum?id=bcVLFQCOjc}
}
```

```bibtex
@inproceedings{belouadi2024automatikz,
    title={{AutomaTikZ}: Text-Guided Synthesis of Scientific Vector Graphics with {TikZ}},
    author={Jonas Belouadi and Anne Lauscher and Steffen Eger},
    booktitle={The Twelfth International Conference on Learning Representations},
    year={2024},
    url={https://openreview.net/forum?id=v3K5TVP8kZ}
}
```

DaTikZ

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