---
license: cc-by-nc-4.0
---

A heavily curated dataset from recipe-nlg (source="**Gathered**" only). A lot of scraping artifacts, typographical errors, unicode, empty and very short recipes were removed. 

Then it has been formated into Alpaca instruction set with Instructions, Input and Output. The total number of recipes went from ~2M2 (original dataset) to ~500K.
Obviously, it's still not perfect (I won't lie, the original dataset was very flawed). To fully fix this would require a very time-consuming manual edition, so you can consider it a WIP.

If you want to support me, you can [here](https://ko-fi.com/adamcodd).

## Acknowledgment and citation
```bibtex
@inproceedings{bien-etal-2020-recipenlg,
    title = "{R}ecipe{NLG}: A Cooking Recipes Dataset for Semi-Structured Text Generation",
    author = "Bie{\'n}, Micha{\l}  and
      Gilski, Micha{\l}  and
      Maciejewska, Martyna  and
      Taisner, Wojciech  and
      Wisniewski, Dawid  and
      Lawrynowicz, Agnieszka",
    booktitle = "Proceedings of the 13th International Conference on Natural Language Generation",
    month = dec,
    year = "2020",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.inlg-1.4",
    pages = "22--28",
}
```