---
title: foodista
canonical_url: "https://www.modelscope.cn/datasets/common-pile/foodista"
md_url: "https://www.modelscope.cn/datasets/common-pile/foodista.md"
repository: common-pile/foodista
last_updated: 2025-06-11
license: "Apache License 2.0"
storage_size: "907 MB"
downloads: 487
stars: 0
---

# foodista

> foodista - common-pile 在 ModelScope 开源的数据集。Description Foodista is a community-maintained site with recipes, food-related news, and nutrition information. All content is licensed under CC BY. Plain text is extracted from the HTML using a custom pipeline that…

common-pile/foodista 是 ModelScope 魔搭社区上的数据集，存储大小 907 MB，采用 Apache License 2.0 许可。

- **Repository**: common-pile/foodista
- **License**: Apache License 2.0
- **Storage size**: 907 MB
- **Downloads**: 487
- **Stars**: 0
- **Last updated**: 2025-06-11

Source: https://www.modelscope.cn/datasets/common-pile/foodista

---

# Foodista

## Description
[Foodista](https://www.foodista.com/) is a community-maintained site with recipes, food-related news, and nutrition information. 
All content is licensed under CC BY. 
Plain text is extracted from the HTML using a custom pipeline that includes extracting title and author information to include at the beginning of the text. 
Additionally, comments on the page are appended to the article after we filter automatically generated comments.

## Dataset Statistics
| Documents | UTF-8 GB |
|-----------|----------|
| 72,090 | 0.09 |

## License Issues
While we aim to produce datasets with completely accurate licensing information, license laundering and inaccurate metadata can cause us to erroneously assign the incorrect license to some documents (for further discussion of this limitation, please see [our paper](https://huggingface.co/papers/2506.05209)). If you believe you have found an instance of incorrect licensing in this dataset, please [start a discussion](https://github.com/r-three/common-pile/discussions/new) on this repository. 

## Other Versions
This is the "raw" version of the Foodista dataset. 
If you are looking for the filtered version used to train [Comma v0.1](https://huggingface.co/common-pile/comma-v0.1), you can find it [here](https://huggingface.co/datasets/common-pile/foodista_filtered).

## Citation
If you use this dataset, please cite:
```bibtex
@article{kandpal2025common,
  title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
  author={Nikhil Kandpal and Brian Lester and Colin Raffel and Sebastian Majstorovic and Stella Biderman and Baber Abbasi and Luca Soldaini and Enrico Shippole and A. Feder Cooper and Aviya Skowron and Shayne Longpre and Lintang Sutawika and Alon Albalak and Zhenlin Xu and Guilherme Penedo and Loubna Ben  and Elie Bakouch and John David  and Honglu Fan and Dashiell Stander and Guangyu Song and Aaron Gokaslan and John Kirchenbauer and Tom Goldstein and Brian R and Bhavya Kailkhura and Tyler Murray},
  journal={arXiv preprint},
  year={2025}
}
```