AL-GR/AL-GR-v1

AL-GR

AL-GR is an industrial-scale dataset comprising 14 billion interactions and 250 million items with corresponding multimodal features collected from Taobao. It was introduced in the paper FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets.

The dataset is designed to benchmark the construction and evaluation of Semantic Identifiers (SIDs) for generative retrieval (GR) in recommendation systems.

• Paper: FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets
• GitHub Repository: https://github.com/selous123/al_sid
• Project Page: https://huggingface.co/AL-GR

Sample Usage

You can load the "Tiny" version of the dataset using the following code:

from datasets import load_dataset

# Login using e.g. `huggingface-cli login` to access this dataset
dataset = load_dataset("AL-GR/AL-GR-Tiny", data_files="train_data/s1_tiny.csv", split="train")

Citation

@article{fu2025forge,
  title={FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets},
  author={Fu, Kairui and Zhang, Tao and Xiao, Shuwen and Wang, Ziyang and Zhang, Xinming and Zhang, Chenchi and Yan, Yuliang and Zheng, Junjun and others},
  journal={arXiv preprint arXiv:2509.20904},
  year={2025}
}