RUOXUAN123/RecipeGen

283 downloads in 30 days3 likesLast modified 6 Dec 2025View on Hugging Face

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 2506260
Licence files: No licence file at the top level of the repositoryEvidence: file list at 2506260
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@inproceedings{10.1145/3746027.3758203,
author = {Zhang, Ruoxuan and Gao, Jidong and Wen, Bin and Xie, Hongxia and Zhang, Chenming and Shuai, Hong-Han and Cheng, Wen-Huang},
title = {RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation},
year = {2025},
isbn = {9798400720352},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3746027.3758203},
doi = {10.1145/3746027.3758203},
abstract = {Creating recipe images is a key challenge in food computing, with applications in culinary education and multimodal recipe assistants. However, existing datasets lack fine-grained alignment between recipe goals, step-wise instructions, and visual content. We present RecipeGen, the first large-scale, real-world benchmark for recipe-based Text-to-Image (T2I), Image-to-Video (I2V), and Text-to-Video (T2V) generation. RecipeGen contains 26,435 recipes, 196,724 images, and 4,491 videos, covering diverse ingredients, cooking procedures, styles, and dish types. We further propose domain-specific evaluation metrics to assess ingredient fidelity and interaction modeling, benchmark representative T2I, I2V, and T2V models, and provide insights for future recipe generation models. Project page is available at https://wenbin08.github.io/RecipeGen.},
booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
pages = {12659–12665},
numpages = {7},
keywords = {food computing, recipe image generatio

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "RUOXUAN123/RecipeGen" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0