Datasetpublic

reczoo/Yelp18_m1

Yelp18_m1 Dataset description: The data statistics are summarized as follows: Dataset ID #Users #Items #Interactions #Train #Test Density Yelp18_m1 31,668 38,048 1,561,406 1,237,259 324,147 0.00130 Data format:user_id item1 item2 ... Source: https://www.yelp.com/dataset Download: https://huggingface.co/datasets/reczoo/Yelp18_m1/tree/main RecZoo Datasets: https://github.com/reczoo/Datasets Used by papers: Xiangnan He, Kuan Deng, Xiang Wang, Yan Li… See the full description on the dataset page: https://huggingface.co/datasets/reczoo/Yelp18_m1.

sourceHugging Faceupdated 3y agoView on Hugging Face

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Dataset Card

Yelp18_m1

—Dataset description:

The data statistics are summarized as follows:

Dataset ID	#Users	#Items	#Interactions	#Train	#Test	Density
Yelp18_m1	31,668	38,048	1,561,406	1,237,259	324,147	0.00130

—Data format: user_id item1 item2 ...

—Source: https://www.yelp.com/dataset
—Download: https://huggingface.co/datasets/reczoo/Yelp18_m1/tree/main
—RecZoo Datasets: https://github.com/reczoo/Datasets

—Used by papers:
—Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR 2020.
—Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He. SimpleX: A Simple and Strong Baseline for Collaborative Filtering. In CIKM 2021.
—Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. In CIKM 2021.

—Check the md5sum for data integrity:

bash

    $ md5sum *.txt
    520fe559761ff2c654629201c807f353  item_list.txt
    0d57d7399862c32152b045ec5d2698e7  test.txt
    1b8b5d22a227e01d6de002c53d32b4c4  train.txt
    ae4f810cd6e827f10fc418753c7d92f9  user_list.txt