---
title: datikz
canonical_url: "https://www.modelscope.cn/datasets/nllg/datikz"
md_url: "https://www.modelscope.cn/datasets/nllg/datikz.md"
repository: nllg/datikz
last_updated: 2025-01-08
license: "Apache License 2.0"
storage_size: "614 MB"
downloads: 1409
stars: 0
---

# datikz

> datikz - nllg 在 ModelScope 开源的数据集。Dataset Card for DaTikZ DaTikZ is a dataset of TikZ drawings aligned with captions. In compliance with licensing agreements, certain TikZ drawings are excluded from this public version of the dataset. Check out the…

nllg/datikz 是 ModelScope 魔搭社区上的数据集，存储大小 614 MB，采用 Apache License 2.0 许可。

- **Repository**: nllg/datikz
- **License**: Apache License 2.0
- **Storage size**: 614 MB
- **Downloads**: 1409
- **Stars**: 0
- **Last updated**: 2025-01-08

Source: https://www.modelscope.cn/datasets/nllg/datikz

---

# Dataset Card for DaTi*k*Z
DaTi*k*Z is a dataset of Ti*k*Z drawings aligned with captions. In compliance with licensing agreements, certain Ti*k*Z drawings are excluded from this public version of the dataset. Check out the [AutomaTi*k*Z](https://github.com/potamides/AutomaTikZ) project and the [DaTi*k*Z](https://github.com/potamides/DaTikZ) repository for more information as well as tools and methods to recreate the complete dataset from scratch.

## Usage
```python
from  datasets  import  load_dataset
# full dataset
ds = load_dataset("nllg/datikz")
# only the train split
ds = load_dataset("nllg/datikz", split="train")

for sample in ds:
    print(sample["code"])
```