This is a takeout recommendation dataset (TRD) which contains a vast amount of meta information from Meituan Takeout app. We collect orders from 11 commercial districts in Beijing between March 1st and March 28th, 2021. The first three weeks of orders are as training, while the last week is used for testing to avoid data leakage. We briefly summarize each file as follows and for more details, please refer to README.md. 1. users.txt (attributes of all users) 2. pois.txt (attributes of all takeout restaurants) 3. spus.txt (attributes of all food) 4. orders_poi_session.txt (a sequence of restaurants clicked by user before ordering) 5. orders_spu_train.txt (order-food in training set) 6. orders_train.txt (order-restaurant in training set) 7. orders_test.txt (order-restaurant in training set) 8. orders_poi_test_label.txt (test labels of order-restaurant) 9. orders_spu_test_label.txt (test labels of order-food) 10 graph.bin (graph in DGL format) graph.bin is build by above *.txt files, there is a vast amount of meta informarion on nodes and edges. just several codes can load this graph with 18,931,400 edges and 408,849 nodes: from dgl import load_graphs #should install dgl ds,_ = load_graphs("./graph.bin") g = ds[0] print(g)